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Asynchronous circuit
Asynchronous circuit
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Asynchronous circuit (clockless or self-timed circuit)[1]: Lecture 12  [note 1][2]: 157–186  is a sequential digital logic circuit that does not use a global clock circuit or signal generator to synchronize its components.[1][3]: 3–5  Instead, the components are driven by a handshaking circuit which indicates a completion of a set of instructions. Handshaking works by simple data transfer protocols.[3]: 115  Many synchronous circuits were developed in early 1950s as part of bigger asynchronous systems (e.g. ORDVAC). Asynchronous circuits and theory surrounding is a part of several steps in integrated circuit design, a field of digital electronics engineering.

Asynchronous circuits are contrasted with synchronous circuits, in which changes to the signal values in the circuit are triggered by repetitive pulses called a clock signal. Most digital devices today use synchronous circuits. However asynchronous circuits have a potential to be much faster, have a lower level of power consumption, electromagnetic interference, and better modularity in large systems. Asynchronous circuits are an active area of research in digital logic design.[4][5]

It was not until the 1990s when viability of the asynchronous circuits was shown by real-life commercial products.[3]: 4 

Overview

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All digital logic circuits can be divided into combinational logic, in which the output signals depend only on the current input signals, and sequential logic, in which the output depends both on current input and on past inputs. In other words, sequential logic is combinational logic with memory. Virtually all practical digital devices require sequential logic. Sequential logic can be divided into two types, synchronous logic and asynchronous logic.

Synchronous circuits

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In synchronous logic circuits, an electronic oscillator generates a repetitive series of equally spaced pulses called the clock signal. The clock signal is supplied to all the components of the IC. Flip-flops only flip when triggered by the edge of the clock pulse, so changes to the logic signals throughout the circuit begin at the same time and at regular intervals. The output of all memory elements in a circuit is called the state of the circuit. The state of a synchronous circuit changes only on the clock pulse. The changes in signal require a certain amount of time to propagate through the combinational logic gates of the circuit. This time is called a propagation delay.

As of 2021, timing of modern synchronous ICs takes significant engineering efforts and sophisticated design automation tools.[6] Designers have to ensure that clock arrival is not faulty. With the ever-growing size and complexity of ICs (e.g. ASICs) it's a challenging task.[6] In huge circuits, signals sent over clock distribution network often end up at different times at different parts.[6] This problem is widely known as "clock skew".[6][7]: xiv 

The maximum possible clock rate is capped by the logic path with the longest propagation delay, called the critical path. Because of that, the paths that may operate quickly are idle most of the time. A widely distributed clock network dissipates a lot of useful power and must run whether the circuit is receiving inputs or not.[6] Because of this level of complexity, testing and debugging takes over half of development time in all dimensions for synchronous circuits.[6]

Asynchronous circuits

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The asynchronous circuits do not need a global clock, and the state of the circuit changes as soon as the inputs change. The local functional blocks may be still employed but the clock skew problem still can be tolerated.[7]: xiv [3]: 4 

Since asynchronous circuits do not have to wait for a clock pulse to begin processing inputs, they can operate faster. Their speed is theoretically limited only by the propagation delays of the logic gates and other elements.[7]: xiv 

However, asynchronous circuits are more difficult to design and subject to problems not found in synchronous circuits. This is because the resulting state of an asynchronous circuit can be sensitive to the relative arrival times of inputs at gates. If transitions on two inputs arrive at almost the same time, the circuit can go into the wrong state depending on slight differences in the propagation delays of the gates. This is called a race condition. In synchronous circuits this problem is less severe because race conditions can only occur due to inputs from outside the synchronous system, called asynchronous inputs.

Although some fully asynchronous digital systems have been built (see below), today asynchronous circuits are typically used in a few critical parts of otherwise synchronous systems where speed is at a premium, such as signal processing circuits.

Theoretical foundation

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The original theory of asynchronous circuits was created by David E. Muller in mid-1950s.[8] This theory was presented later in the well-known book "Switching Theory" by Raymond Miller.[9]

The term "asynchronous logic" is used to describe a variety of design styles, which use different assumptions about circuit properties.[10] These vary from the bundled delay model – which uses "conventional" data processing elements with completion indicated by a locally generated delay model – to delay-insensitive design – where arbitrary delays through circuit elements can be accommodated. The latter style tends to yield circuits which are larger than bundled data implementations, but which are insensitive to layout and parametric variations and are thus "correct by design".

Asynchronous logic

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Asynchronous logic is the logic required for the design of asynchronous digital systems. These function without a clock signal and so individual logic elements cannot be relied upon to have a discrete true/false state at any given time. Boolean (two valued) logic is inadequate for this and so extensions are required.

Since 1984, Vadim O. Vasyukevich developed an approach based upon new logical operations which he called venjunction (with asynchronous operator "xy" standing for "switching x on the background y" or "if x when y then") and sequention (with priority signs "xixj" and "xixj"). This takes into account not only the current value of an element, but also its history.[11][12][13][14][15]

Karl M. Fant developed a different theoretical treatment of asynchronous logic in his work Logically determined design in 2005 which used four-valued logic with null and intermediate being the additional values. This architecture is important because it is quasi-delay-insensitive.[16][17] Scott C. Smith and Jia Di developed an ultra-low-power variation of Fant's Null Convention Logic that incorporates multi-threshold CMOS.[18] This variation is termed Multi-threshold Null Convention Logic (MTNCL), or alternatively Sleep Convention Logic (SCL).[19]

Petri nets

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Petri nets are an attractive and powerful model for reasoning about asynchronous circuits (see Subsequent models of concurrency). A particularly useful type of interpreted Petri nets, called Signal Transition Graphs (STGs), was proposed independently in 1985 by Leonid Rosenblum and Alex Yakovlev[20] and Tam-Anh Chu.[21] Since then, STGs have been studied extensively in theory and practice,[22][23] which has led to the development of popular software tools for analysis and synthesis of asynchronous control circuits, such as Petrify[24] and Workcraft.[25]

Subsequent to Petri nets other models of concurrency have been developed that can model asynchronous circuits including the Actor model and process calculi.

Benefits

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A variety of advantages have been demonstrated by asynchronous circuits. Both quasi-delay-insensitive (QDI) circuits (generally agreed to be the most "pure" form of asynchronous logic that retains computational universality)[citation needed] and less pure forms of asynchronous circuitry which use timing constraints for higher performance and lower area and power present several advantages.

  • Robust and cheap handling of metastability of arbiters.
  • Average-case performance: an average-case time (delay) of operation is not limited to the worst-case completion time of component (gate, wire, block etc.) as it is in synchronous circuits.[7]: xiv [3]: 3  This results in better latency and throughput performance.[26]: 9 [3]: 3  Examples include speculative completion[27][28] which has been applied to design parallel prefix adders faster than synchronous ones, and a high-performance double-precision floating point adder[29] which outperforms leading synchronous designs.
    • Early completion: the output may be generated ahead of time, when result of input processing is predictable or irrelevant.
    • Inherent elasticity: variable number of data items may appear in pipeline inputs at any time (pipeline means a cascade of linked functional blocks). This contributes to high performance while gracefully handling variable input and output rates due to unclocked pipeline stages (functional blocks) delays (congestions may still be possible however and input-output gates delay should be also taken into account[30]: 194 ).[26]
    • No need for timing-matching between functional blocks either. Though given different delay models (predictions of gate/wire delay times) this depends on actual approach of asynchronous circuit implementation.[30]: 194 
    • Freedom from the ever-worsening difficulties of distributing a high-fan-out, timing-sensitive clock signal.
    • Circuit speed adapts to changing temperature and voltage conditions rather than being locked at the speed mandated by worst-case assumptions.[citation needed][vague][3]: 3 
  • Lower, on-demand power consumption;[7]: xiv [26]: 9 [3]: 3  zero standby power consumption.[3]: 3  In 2005 Epson has reported 70% lower power consumption compared to synchronous design.[31] Also, clock drivers can be removed which can significantly reduce power consumption. However, when using certain encodings, asynchronous circuits may require more area, adding similar power overhead if the underlying process has poor leakage properties (for example, deep submicrometer processes used prior to the introduction of high-κ dielectrics).
    • No need for power-matching between local asynchronous functional domains of circuitry. Synchronous circuits tend to draw a large amount of current right at the clock edge and shortly thereafter. The number of nodes switching (and hence, the amount of current drawn) drops off rapidly after the clock edge, reaching zero just before the next clock edge. In an asynchronous circuit, the switching times of the nodes does not correlated in this manner, so the current draw tends to be more uniform and less bursty.
  • Robustness toward transistor-to-transistor variability in the manufacturing transfer process (which is one of the most serious problems facing the semiconductor industry as dies shrink), variations of voltage supply, temperature, and fabrication process parameters.[3]: 3 
  • Less severe electromagnetic interference (EMI).[3]: 3  Synchronous circuits create a great deal of EMI in the frequency band at (or very near) their clock frequency and its harmonics; asynchronous circuits generate EMI patterns which are much more evenly spread across the spectrum.[3]: 3 
  • Design modularity (reuse), improved noise immunity and electromagnetic compatibility. Asynchronous circuits are more tolerant to process variations and external voltage fluctuations.[3]: 4 

Disadvantages

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  • Area overhead caused by additional logic implementing handshaking.[3]: 4  In some cases an asynchronous design may require up to double the resources (area, circuit speed, power consumption) of a synchronous design, due to addition of completion detection and design-for-test circuits.[32][3]: 4 
  • Compared to a synchronous design, as of the 1990s and early 2000s not many people are trained or experienced in the design of asynchronous circuits.[32]
  • Synchronous designs are inherently easier to test and debug than asynchronous designs.[33] However, this position is disputed by Fant, who claims that the apparent simplicity of synchronous logic is an artifact of the mathematical models used by the common design approaches.[17]
  • Clock gating in more conventional synchronous designs is an approximation of the asynchronous ideal, and in some cases, its simplicity may outweigh the advantages of a fully asynchronous design.
  • Performance (speed) of asynchronous circuits may be reduced in architectures that require input-completeness (more complex data path).[34]
  • Lack of dedicated, asynchronous design-focused commercial EDA tools.[34] As of 2006 the situation was slowly improving, however.[3]: x 

Communication

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There are several ways to create asynchronous communication channels that can be classified by their protocol and data encoding.

Protocols

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There are two widely used protocol families which differ in the way communications are encoded:

  • two-phase handshake (also known as two-phase protocol, non-return-to-zero (NRZ) encoding, or transition signaling): Communications are represented by any wire transition; transitions from 0 to 1 and from 1 to 0 both count as communications.
  • four-phase handshake (also known as four-phase protocol, or return-to-zero (RZ) encoding): Communications are represented by a wire transition followed by a reset; a transition sequence from 0 to 1 and back to 0 counts as single communication.
Illustration of two and four-phase handshakes. Top: A sender and a receiver are communicating with simple request and acknowledge signals. The sender drives the request line, and the receiver drives the acknowledge line. Middle: Timing diagram of two, two-phase communications. Bottom: Timing diagram of one, four-phase communication.

Despite involving more transitions per communication, circuits implementing four-phase protocols are usually faster and simpler than two-phase protocols because the signal lines return to their original state by the end of each communication. In two-phase protocols, the circuit implementations would have to store the state of the signal line internally.

Note that these basic distinctions do not account for the wide variety of protocols. These protocols may encode only requests and acknowledgements or also encode the data, which leads to the popular multi-wire data encoding. Many other, less common protocols have been proposed including using a single wire for request and acknowledgment, using several significant voltages, using only pulses or balancing timings in order to remove the latches.

Data encoding

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There are two widely used data encodings in asynchronous circuits: bundled-data encoding and multi-rail encoding

Another common way to encode the data is to use multiple wires to encode a single digit: the value is determined by the wire on which the event occurs. This avoids some of the delay assumptions necessary with bundled-data encoding, since the request and the data are not separated anymore.

Bundled-data encoding

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Bundled-data encoding uses one wire per bit of data with a request and an acknowledge signal; this is the same encoding used in synchronous circuits without the restriction that transitions occur on a clock edge. The request and the acknowledge are sent on separate wires with one of the above protocols. These circuits usually assume a bounded delay model with the completion signals delayed long enough for the calculations to take place.

In operation, the sender signals the availability and validity of data with a request. The receiver then indicates completion with an acknowledgement, indicating that it is able to process new requests. That is, the request is bundled with the data, hence the name "bundled-data".

Bundled-data circuits are often referred to as micropipelines, whether they use a two-phase or four-phase protocol, even if the term was initially introduced for two-phase bundled-data.

A 4-phase, bundled-data communication. Top: A sender and receiver are connected by data lines, a request line, and an acknowledge line. Bottom: Timing diagram of a bundled data communication. When the request line is low, the data is to be considered invalid and liable to change at any time.

Multi-rail encoding

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Multi-rail encoding uses multiple wires without a one-to-one relationship between bits and wires and a separate acknowledge signal. Data availability is indicated by the transitions themselves on one or more of the data wires (depending on the type of multi-rail encoding) instead of with a request signal as in the bundled-data encoding. This provides the advantage that the data communication is delay-insensitive. Two common multi-rail encodings are one-hot and dual rail. The one-hot (also known as 1-of-n) encoding represents a number in base n with a communication on one of the n wires. The dual-rail encoding uses pairs of wires to represent each bit of the data, hence the name "dual-rail"; one wire in the pair represents the bit value of 0 and the other represents the bit value of 1. For example, a dual-rail encoded two bit number will be represented with two pairs of wires for four wires in total. During a data communication, communications occur on one of each pair of wires to indicate the data's bits. In the general case, an m n encoding represent data as m words of base n.

Diagram of dual rail and 1-of-4 communications. Top: A sender and receiver are connected by data lines and an acknowledge line. Middle: Timing diagram of the sender communicating the values 0, 1, 2, and then 3 to the receiver with the 1-of-4 encoding. Bottom: Timing diagram of the sender communicating the same values to the receiver with the dual-rail encoding. For this particular data size, the dual rail encoding is the same as a 2x1-of-2 encoding.

Dual-rail encoding

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Dual-rail encoding with a four-phase protocol is the most common and is also called three-state encoding, since it has two valid states (10 and 01, after a transition) and a reset state (00). Another common encoding, which leads to a simpler implementation than one-hot, two-phase dual-rail is four-state encoding, or level-encoded dual-rail, and uses a data bit and a parity bit to achieve a two-phase protocol.

Asynchronous CPU

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Asynchronous CPUs are one of several ideas for radically changing CPU design.

Unlike a conventional processor, a clockless processor (asynchronous CPU) has no central clock to coordinate the progress of data through the pipeline. Instead, stages of the CPU are coordinated using logic devices called "pipeline controls" or "FIFO sequencers". Basically, the pipeline controller clocks the next stage of logic when the existing stage is complete. In this way, a central clock is unnecessary. It may actually be even easier to implement high performance devices in asynchronous, as opposed to clocked, logic:

  • components can run at different speeds on an asynchronous CPU; all major components of a clocked CPU must remain synchronized with the central clock;
  • a traditional CPU cannot "go faster" than the expected worst-case performance of the slowest stage/instruction/component. When an asynchronous CPU completes an operation more quickly than anticipated, the next stage can immediately begin processing the results, rather than waiting for synchronization with a central clock. An operation might finish faster than normal because of attributes of the data being processed (e.g., multiplication can be very fast when multiplying by 0 or 1, even when running code produced by a naive compiler), or because of the presence of a higher voltage or bus speed setting, or a lower ambient temperature, than 'normal' or expected.

Asynchronous logic proponents believe these capabilities would have these benefits:

  • lower power dissipation for a given performance level, and
  • highest possible execution speeds.

The biggest disadvantage of the clockless CPU is that most CPU design tools assume a clocked CPU (i.e., a synchronous circuit). Many tools "enforce synchronous design practices".[35] Making a clockless CPU (designing an asynchronous circuit) involves modifying the design tools to handle clockless logic and doing extra testing to ensure the design avoids metastable problems. The group that designed the AMULET, for example, developed a tool called LARD[36] to cope with the complex design of AMULET3.

Examples

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Despite all the difficulties numerous asynchronous CPUs have been built.

The ORDVAC of 1951 was a successor to the ENIAC and the first asynchronous computer ever built.[37][38]

The ILLIAC II was the first completely asynchronous, speed independent processor design ever built; it was the most powerful computer at the time.[37]

DEC PDP-16 Register Transfer Modules (ca. 1973) allowed the experimenter to construct asynchronous, 16-bit processing elements. Delays for each module were fixed and based on the module's worst-case timing.

Caltech

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Since the mid-1980s, Caltech has designed four non-commercial CPUs in attempt to evaluate performance and energy efficiency of the asynchronous circuits.[39][40]

Caltech Asynchronous Microprocessor (CAM)

In 1988 the Caltech Asynchronous Microprocessor (CAM) was the first asynchronous, quasi delay-insensitive (QDI) microprocessor made by Caltech.[39][41] The processor had 16-bit wide RISC ISA and separate instruction and data memories.[39] It was manufactured by MOSIS and funded by DARPA. The project was supervised by the Office of Naval Research, the Army Research Office, and the Air Force Office of Scientific Research.[39]: 12 

During demonstrations, the researchers loaded a simple program which ran in a tight loop, pulsing one of the output lines after each instruction. This output line was connected to an oscilloscope. When a cup of hot coffee was placed on the chip, the pulse rate (the effective "clock rate") naturally slowed down to adapt to the worsening performance of the heated transistors. When liquid nitrogen was poured on the chip, the instruction rate shot up with no additional intervention. Additionally, at lower temperatures, the voltage supplied to the chip could be safely increased, which also improved the instruction rate – again, with no additional configuration.[citation needed]

When implemented in gallium arsenide (HGaAs
3
) it was claimed to achieve 100MIPS.[39]: 5  Overall, the research paper interpreted the resultant performance of CAM as superior compared to commercial alternatives available at the time.[39]: 5 

MiniMIPS

In 1998 the MiniMIPS, an experimental, asynchronous MIPS I-based microcontroller was made. Even though its SPICE-predicted performance was around 280 MIPS at 3.3 V the implementation suffered from several mistakes in layout (human mistake) and the results turned out be lower by about 40% (see table).[39]: 5 

The Lutonium 8051

Made in 2003, it was a quasi delay-insensitive asynchronous microcontroller designed for energy efficiency.[40][39]: 9  The microcontroller's implementation followed the Harvard architecture.[40]

Performance comparison of the Caltech CPUs (in MIPS) .[note 2]
Name Year Word size (bits) Transistors (thousands) Size (mm) Node size (μm) 1.5V 2V 3.3V 5V 10V
CAM SCMOS 1988 16 20 N/A 1.6 N/A 5 N/A 18 26
MiniMIPS CMOS 1998 32 2000 8×14 0.6 60 100 180 N/A N/A
Lutonium 8051 CMOS 2003 8 N/A N/A 0.18 200 N/A N/A N/A 4

Epson

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In 2004, Epson manufactured the world's first bendable microprocessor called ACT11, an 8-bit asynchronous chip.[42][43][44][45][46] Synchronous flexible processors are slower, since bending the material on which a chip is fabricated causes wild and unpredictable variations in the delays of various transistors, for which worst-case scenarios must be assumed everywhere and everything must be clocked at worst-case speed. The processor is intended for use in smart cards, whose chips are currently limited in size to those small enough that they can remain perfectly rigid.

IBM

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In 2014, IBM announced a SyNAPSE-developed chip that runs in an asynchronous manner, with one of the highest transistor counts of any chip ever produced. IBM's chip consumes orders of magnitude less power than traditional computing systems on pattern recognition benchmarks.[47]

Timeline

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  • ORDVAC and the (identical) ILLIAC I (1951)[37][38]
  • Johnniac (1953)[48]
  • WEIZAC (1955)
  • Kiev (1958), a Soviet machine using the programming language with pointers much earlier than they came to the PL/1 language[49]
  • ILLIAC II (1962)[37]
  • Victoria University of Manchester built Atlas (1964)
  • ICL 1906A and 1906S mainframe computers, part of the 1900 series and sold from 1964 for over a decade by ICL[50]
  • Polish computers KAR-65 and K-202 (1965 and 1970 respectively)
  • Honeywell CPUs 6180 (1972)[51] and Series 60 Level 68 (1981)[52][53] upon which Multics ran asynchronously
  • Soviet bit-slice microprocessor modules (late 1970s)[54][55] produced as К587,[56] К588[57] and К1883 (U83x in East Germany)[58]
  • Caltech Asynchronous Microprocessor, the world-first asynchronous microprocessor (1988)[39][41]
  • ARM-implementing AMULET (1993 and 2000)
  • Asynchronous implementation of MIPS R3000, dubbed MiniMIPS (1998)
  • Several versions of the XAP processor experimented with different asynchronous design styles: a bundled data XAP, a 1-of-4 XAP, and a 1-of-2 (dual-rail) XAP (2003?)[59]
  • ARM-compatible processor (2003?) designed by Z. C. Yu, S. B. Furber, and L. A. Plana; "designed specifically to explore the benefits of asynchronous design for security sensitive applications"[59]
  • SAMIPS (2003), a synthesisable asynchronous implementation of the MIPS R3000 processor[60][61]
  • "Network-based Asynchronous Architecture" processor (2005) that executes a subset of the MIPS architecture instruction set[59]
  • ARM996HS processor (2006) from Handshake Solutions
  • HT80C51 processor (2007?) from Handshake Solutions.[62]
  • Vortex, a superscalar general purpose CPU with a load/store architecture from Intel (2007);[63] it was developed as Fulcrum Microsystem test Chip 2 and was not commercialized, excepting some of its components; the chip included DDR SDRAM and a 10Gb Ethernet interface linked via Nexus system-on-chip net to the CPU[63][64]
  • SEAforth multi-core processor (2008) from Charles H. Moore[65]
  • GA144[66] multi-core processor (2010) from Charles H. Moore
  • TAM16: 16-bit asynchronous microcontroller IP core (Tiempo)[67]
  • Aspida asynchronous DLX core;[68] the asynchronous open-source DLX processor (ASPIDA) has been successfully implemented both in ASIC and FPGA versions[69]

See also

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Notes

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
An asynchronous circuit is a type of sequential digital logic circuit that operates without a global to synchronize its components, relying instead on local handshaking protocols—such as request-acknowledge mechanisms—to coordinate data transfer and timing between modules. These circuits process signals in an event-driven manner, where state transitions occur based on input changes or completion signals rather than fixed clock cycles, enabling designs that are delay-insensitive or speed-independent under certain assumptions like negligible wire delays. Key components in asynchronous designs include latches for , Muller C-elements for and state-holding, forks and joins for data duplication and merging, and mutex elements to resolve in concurrent inputs. Handshaking protocols typically follow 4-phase () or 2-phase () variants, often using bundled-data encoding for timing or dual-rail encoding for full delay insensitivity, which ensures correct operation regardless of gate delay variations. Synthesis methods involve tools like signal transition graphs (STGs) for modeling speed-independent control or (CSP)-based languages for high-level specification and compilation into circuits. Asynchronous circuits offer notable advantages over synchronous counterparts, including lower power consumption due to the absence of global clock distribution, higher average-case through event-driven execution (e.g., in Martin's self-timed adders), robustness to process variations and voltage scaling, and in globally asynchronous locally synchronous () systems. However, they present challenges such as increased design complexity from hazards, races, and risks—where signals may enter undefined states requiring decay time to stabilize—and a relative lack of mature (CAD) tools compared to clocked designs. Historically, foundational work dates to the 1950s with David Muller's speed-independent circuits and David Huffman's fundamental-mode analysis, evolving through 1990s advancements at institutions like MIT, Stanford, and to support applications in low-power processors, network interfaces, and mixed-signal interfaces.

Fundamentals

Definition and Principles

Asynchronous circuits are digital electronic systems that operate without a global , where changes in state are initiated by the arrival of signals and synchronized through local acknowledgment mechanisms rather than periodic timing pulses. This approach allows components to communicate and process information based on actual readiness, enabling adaptive timing that matches the speed of individual or modules. The core principles of asynchronous circuits revolve around event-driven behavior, in which operations are triggered by signal transitions or events, such as the assertion of a request signal, rather than a fixed clock cycle. is achieved via handshaking protocols, where a sender issues a request upon availability and waits for an acknowledgment from the receiver before proceeding, ensuring reliable transfer without a central timing reference. Asynchronous designs distinguish between combinational elements, which compute outputs instantaneously from inputs without storing state, and sequential elements, such as latches or registers, which retain information and update only upon completion of handshaking sequences. Fundamental components include request-acknowledge pairs, which form the basis of inter-module communication by signaling data validity and completion. A key building block is the Muller C-element, a state-holding gate that sets its output to 1 only when all inputs are 1, resets to 0 only when all inputs are 0, and otherwise maintains its previous state, providing essential and completion detection in pipelines or control logic. In speed-independent asynchronous circuits, which assume no bounds on gate delays, designs must be hazard-free to prevent transient glitches from causing erroneous state changes; this requires careful gate ordering and avoidance of timing-sensitive paths that could produce static or dynamic hazards. A representative example is the simple asynchronous toggle flip-flop, which alternates its output state (from 0 to 1 or 1 to 0) upon each request event while ensuring hazard-free operation. In one using a Muller , an incoming request signal triggers a feedback loop that inverts the stored state via an combined with the for , holding the new value until the acknowledgment is issued and the request is deasserted. This demonstrates how asynchronous principles enable self-timed state updates without clock dependency.

Comparison to Synchronous Circuits

Synchronous circuits rely on a global to synchronize operations across the entire design, where data is captured and transferred using latches or flip-flops triggered on specific clock edges, ensuring predictable timing behavior. In contrast, asynchronous circuits operate without a global clock, using local handshaking protocols to coordinate data transfer between components, which eliminates issues like that arise from variations in propagation delays in synchronous designs. However, asynchronous circuits require careful local mechanisms, such as request-acknowledge handshaking, to manage data validity and avoid hazards, whereas synchronous circuits benefit from straightforward static timing analysis (STA) tools that verify timing paths against clock constraints without needing to simulate dynamic interactions. From a performance perspective, asynchronous circuits can achieve higher average-case speeds by allowing each component to operate at its intrinsic pace, adapting to actual data delays rather than being constrained by the slowest path in the system, while synchronous circuits are limited to a fixed worst-case clock that accommodates the longest possible delay across all paths. This event-driven nature enables asynchronous designs to complete computations faster on typical inputs, though they may require additional logic for overhead. Power consumption in asynchronous circuits is generally lower because components are active only during data flow, avoiding the continuous toggling and distribution overhead of a global clock that persists regardless of activity in synchronous designs. Without clock trees, asynchronous implementations reduce dynamic power dissipation from unnecessary switching, though control logic for handshaking can introduce some static power trade-offs. Asynchronous circuits enhance modularity by allowing independent modules to communicate through standardized interfaces like bundled-data or dual-rail protocols, enabling easier integration of components with varying speeds without global timing constraints, in opposition to the rigid clock domains in synchronous circuits that demand uniform synchronization across the chip. This interface-based approach supports , where subsystems can be designed, verified, and reused separately, contrasting the holistic clock distribution challenges in synchronous architectures.

Theoretical Foundations

Asynchronous Logic

Asynchronous logic encompasses the fundamental building blocks and design techniques for circuits that operate without a global clock, relying instead on local handshaking or event-driven to ensure correct behavior across varying component delays. Two primary classes distinguish this domain: delay-insensitive (DI) circuits, which tolerate arbitrary delays in gates and wires as long as they are finite and bounded, and speed-independent (SI) circuits, which are insensitive to gate delays but assume wire delays are negligible or zero. DI designs provide stronger robustness against process variations but are more restrictive in , while SI circuits offer greater flexibility for practical synthesis at the cost of assuming idealized interconnects. At the gate level, asynchronous logic assumes inertial gates, which filter out input pulses shorter than their propagation delay to prevent spurious transitions from propagating, in contrast to non-inertial gates that respond to all input changes regardless of duration. A key element for maintaining signal monotonicity—ensuring inputs change in one direction without —is the (or Muller ), a hysteresis gate that sets its output high only when all inputs are high and holds its state otherwise, preventing races in feedback paths. For a two-input , the rising transition follows the equation Q=(AB)+(Q(A+B))Q = (A \cdot B) + (Q \cdot (A + B)), where QQ is the output, AA and BB are inputs, and \cdot denotes AND, ++ denotes OR; the falling transition is symmetric. This monotonic behavior is essential for hazard-free operation in asynchronous pipelines and arbiters. Null Convention Logic (NCL) is a symbolically complete asynchronous logic framework that operates in a delay-insensitive manner, utilizing a third state, NULL, to indicate the absence of valid data. In NCL, data is represented using dual-rail encoding, where each bit is encoded on two wires: one for the logical 0 and one for the logical 1, with the NULL state occurring when both wires are low. Gates in NCL, often implemented with hysteresis mechanisms such as C-elements, only transition when receiving complete and valid data, enabling data-driven operation where the arrival of valid information triggers computation without reliance on a clock. This approach ensures completion detection and maintains monotonicity, supporting robust asynchronous pipelines. Synthesis of asynchronous logic emphasizes hazard avoidance and correctness under delay assumptions. For DI circuits, trace theory provides a foundational approach, modeling circuit as sets of valid event sequences (traces) on channels to compose and verify components hierarchically without timing details. This method, rooted in regular expressions over traces, enables decomposition into simple primitives like join and fork elements while ensuring delay insensitivity. In contrast, SI synthesis often decomposes specifications into burst-mode machines, where state transitions are triggered by input bursts (simultaneous changes) followed by output bursts, allowing automated tools to generate -free implementations through state graph minimization and logic decomposition. A critical concern in asynchronous logic is , particularly essential hazards arising from unequal feedback path delays that can cause unintended state oscillations even in race-free designs. These are mitigated by introducing redundant logic, such as additional gates or states, to cover all possible transition paths and ensure monotonic covering of excitation functions, thereby stabilizing outputs without introducing new races. For instance, in SI burst-mode synthesis, redundant cubes in the next-state logic prevent essential hazards by guaranteeing that any delay mismatch does not alter the intended sequence.

Formal Modeling Techniques

Formal modeling techniques provide mathematical and graphical frameworks to specify, analyze, and verify the behavior of asynchronous circuits, capturing their inherent concurrency and lack of global timing. These models abstract away low-level implementation details to focus on event ordering, synchronization, and potential hazards like deadlocks. Among the most prominent is the use of , which represent asynchronous interactions through distributed states and event firings, enabling the modeling of handshaking protocols central to asynchronous design. Petri nets consist of places (depicted as circles), transitions (rectangles), and tokens (dots in places) connected by directed arcs, where tokens indicate available resources or states, and a transition fires when all input places have sufficient tokens, consuming them and producing tokens in output places. This structure naturally models concurrency, as multiple transitions can fire in parallel if their preconditions are met, and handshaking, where synchronized events require mutual readiness. In asynchronous circuits, places can represent signal states or control tokens, while transitions embody gate activations or protocol steps, allowing the depiction of non-deterministic interleavings without assuming fixed delays. A simple , where two concurrent processes synchronize before proceeding, can be modeled using a with two input places (one token each representing process readiness), connected to a single transition (the synchronization event), which leads to two output places (enabling each process to continue). This net ensures that neither process advances until both are prepared, illustrating atomic in handshaking. Other models complement Petri nets for more nuanced analysis. Event structures, introduced by Winskel, represent behaviors as partially ordered sets of events with enabling and conflict relations, suitable for capturing causal dependencies and nondeterminism in asynchronous verification without enumerating all sequences. Trace theory, developed by Dill, models circuit behaviors as sets of possible event traces (sequences of signal changes), facilitating hierarchical verification by composing traces from subcircuits while checking for consistency and hazards. The algebra of communicating processes (ACP), formalized by Bergstra and Klop, provides an equational framework for specifying interactions via parallel composition and communication operators, applicable to asynchronous systems through abstraction of signal synchronizations. Verification methods leverage these models to ensure correctness properties. In Petri nets, reachability analysis explores all possible markings (token distributions) from an initial state using techniques like matrix equations or unfoldings, detecting deadlocks where no transitions can fire despite pending requests. Transition systems, often derived from Petri nets or trace models, specify speed-independent properties by labeling states with signal values and transitions with events, allowing model checking to confirm that behaviors remain valid under arbitrary finite delays, independent of gate speeds. As an example, a element (arbiter) in asynchronous circuits, which grants access to a to one of two requesters while preventing simultaneous grants, is represented in a with places for idle, request from client A, grant to A, request from client B, and grant to B, plus inhibitor arcs to enforce exclusion; transitions to cycle through states, ensuring only one grant token is active at a time. This model verifies liveness and via , confirming no deadlock under fair assumptions.

Design Methodologies

Communication Protocols

In asynchronous circuits, communication between modules relies on handshaking protocols to coordinate the transfer of data without a global clock, ensuring that the sender only proceeds after the receiver has accepted the data. These protocols typically involve request (REQ) and acknowledge (ACK) signals, forming a request-acknowledge cycle that maintains and prevents hazards. The two primary handshaking protocols are the four-phase protocol and the two-phase protocol, each differing in signal transitions and reset mechanisms. The four-phase handshake, also known as return-to-zero (RZ) signaling, completes a full communication cycle through four distinct phases: the sender asserts REQ while data is stable, the receiver asserts ACK upon sampling the data, the sender deasserts REQ after detecting ACK, and the receiver deasserts ACK to reset the signals. This protocol uses level signaling, where signals maintain their asserted state (high or low) until explicitly reset, providing robustness against glitches but requiring additional reset circuitry. In contrast, the two-phase handshake, or toggle protocol, uses only two transitions per cycle: the sender toggles REQ to indicate data availability, the receiver toggles ACK upon acceptance, and the process repeats for the next transfer without returning to a zero state. This non-return-to-zero (NRZ) approach employs transition signaling, where communication is triggered by edge changes rather than sustained levels, potentially reducing wire delays but increasing complexity in gate implementations due to the need for toggle detectors and hysteresis. The choice between four-phase and two-phase protocols impacts implementation complexity and performance; four-phase designs are simpler for bundled-data schemes due to straightforward level-based logic but incur higher overhead from transitions, while two-phase protocols can achieve higher throughput in speed-independent circuits by eliminating resets, though they demand more sophisticated transition-sensing elements that may consume more area. Seminal work by introduced bundled-data micropipelines using four-phase handshaking for elastic pipelines, emphasizing its suitability for high-performance without issues. A basic sender-receiver sequence in the four-phase protocol proceeds as follows:
  1. The sender places valid on the data lines and asserts REQ (rising edge).
  2. The receiver detects the asserted REQ, samples the , and processes it if ready.
  3. Upon completion, the receiver asserts ACK (rising edge) to signal acceptance.
  4. The sender detects the asserted ACK, deasserts REQ (falling edge), and prepares for the next transfer.
  5. The receiver detects the deasserted REQ and deasserts ACK (falling edge), completing the cycle and returning both signals to their idle (low) state.
This sequence ensures isochronic fork assumptions are met in self-timed systems, as originally formalized in Charles Seitz's framework for delay-insensitive operation.

Data Encoding Schemes

Data encoding schemes in asynchronous circuits represent information in a way that embeds or signals data validity and completion without relying on a global clock, enabling robust communication between circuit modules. These methods are essential for distinguishing valid data from invalid states (spacers or null values) and detecting when data is stable for latching. By integrating validity indicators directly into the signal paths, encodings facilitate self-timed operation, where completion is determined locally rather than through fixed timing. Prominent schemes include bundled-data, dual-rail, and multi-rail, each offering trade-offs in hardware overhead, timing sensitivity, and performance. The bundled-data scheme employs unencoded single-rail data lines alongside a separate request signal to demarcate the validity window. The request is artificially delayed—typically via matched delay elements such as inverter chains—to ensure data arrives and stabilizes before the request asserts, preventing at the receiver. This approach assumes the isochronic condition, where delay variations across forked wires are negligible, allowing the protocol to function correctly under bounded skew. Pioneered in micropipeline designs, bundled-data supports efficient reuse of synchronous with added handshaking controls, minimizing encoding overhead while maintaining compatibility with existing tools. Dual-rail encoding maps each single-wire data bit to a pair of rails, using four states per bit: a spacer (00) for invalid data, valid 0 (10), valid 1 (01), and an invalid transition (11) that must be avoided. Validity is detected through the rising transition from spacer to a valid codeword, enabling self-timed completion via simple threshold detectors (e.g., OR ) that signal when both rails for all bits indicate a valid state. This scheme achieves delay-insensitivity to arbitrary and wire delays, except at isochronic forks, making it highly robust to process variations and . However, the doubled wire count per bit increases interconnect area and switching power compared to single-rail methods. Multi-rail encodings extend dual-rail principles to higher , representing an n-bit value across k rails (k > 2n) where exactly m rails (1 ≤ m ≤ k) assert to form a valid codeword, with the specific pattern conveying the data. For instance, a 1-of-4 multi-rail scheme for 2 bits uses four wires, where single assertions encode the four possible values (00, 01, 10, 11), and completion is detected early when the first m rails activate. This allows reduced switching activity—often 2-4 times lower than dual-rail—while preserving delay-insensitivity and enabling faster pipelines through asymmetric delay tolerance. Multi-rail is particularly advantageous in wide data paths where wire efficiency and power matter. Quasi-delay-insensitive (QDI) properties characterize encodings and circuits that tolerate arbitrary delays in gates and wires, provided isochronic s—where signal branches experience equal or tightly bounded delays—hold to prevent race conditions. QDI designs, often using dual-rail or multi-rail with monotonic signal assumptions (e.g., no glitches during transitions), ensure hazard-free operation and simplify timing by eliminating worst-case delay matching. This robustness stems from the encoding's ability to self-assess validity without environmental timing dependencies, though it requires careful layout to uphold the fork assumption. QDI has become a cornerstone for high-reliability asynchronous systems in variable-delay environments like deep-submicron . The following table compares key overheads and characteristics of these encoding schemes:
Encoding SchemeWire Overhead (for n bits)Timing RobustnessPrimary Trade-off
Bundled-DataLow (n + 1)Moderate (delay matching required)Efficiency vs. timing sensitivity
Dual-RailHigh (2n)High (delay-insensitive except forks)Robustness vs. area/power
Multi-RailModerate (e.g., 2n to 4n/2)High (early completion possible)Power/speed vs. complexity

Advantages and Limitations

Benefits

Asynchronous circuits offer substantial power efficiency advantages over synchronous designs primarily due to the absence of a global , which eliminates clock distribution power—a component that can account for 20-40% of total power in synchronous systems. This clockless operation enables dynamic power savings by restricting switching activity to only when data is present and processed, avoiding unnecessary toggling in idle states and achieving up to 48% reduction in dynamic power compared to clock-gated synchronous counterparts on 65-nm processes. Furthermore, average-case activity exploitation in asynchronous pipelines minimizes energy dissipation for irregular workloads, where only active paths consume power, leading to overall savings of 17-20% in processor implementations like asynchronous cores. In terms of speed, asynchronous circuits achieve average-case performance by adapting computation timing to actual data arrival and processing delays, rather than being constrained by worst-case global clock cycles. This data-driven approach allows for 20-30% faster execution in irregular workloads, as demonstrated in asynchronous dividers where average delay per bit is reduced by approximately 34% (6.3 FO4 delays versus 9.5 FO4 in synchronous designs). Such adaptability ensures that faster data paths propagate without waiting for slower ones, enhancing throughput in applications with variable computation times. Asynchronous designs exhibit enhanced robustness to process, voltage, and temperature (PVT) variations, as their delay-insensitive protocols do not rely on fixed timing margins dictated by a clock. This inherent tolerance allows operation across wider voltage ranges (e.g., sub-threshold down to 150 mV) without performance degradation, unlike synchronous circuits that require conservative margins to avoid timing failures. Additionally, localized switching reduces (EMI) by eliminating periodic clock harmonics, resulting in lower radiated emissions and improved noise margins in mixed-signal environments. The interface-based design of asynchronous circuits promotes modularity and scalability by decoupling components through standardized handshake protocols, eliminating global timing constraints and enabling easier integration of heterogeneous modules. This reduces design complexity in large systems, as modules can be composed without synchronizing to a single clock domain, facilitating reuse and expansion in complex SoCs. These benefits make asynchronous circuits particularly suitable for low-power applications such as battery-operated sensors and nodes, where event-driven operation aligns with sporadic to extend battery life. For instance, asynchronous logic in units achieves ultra-low power consumption in sub-threshold regimes, supporting IoT deployments with minimal energy overhead. Encoding schemes like dual-rail further enable these efficiencies by ensuring robust without clock dependency.

Challenges and Disadvantages

One major challenge in asynchronous circuit design stems from the relative immaturity of (EDA) tools compared to those available for synchronous designs. While tools like Petrify exist for synthesizing speed-independent circuits from signal transition graphs, they are limited in scope and do not fully automate the entire design flow, often requiring manual intervention for avoidance and optimization. However, recent advancements, such as end-to-end bundled-data design flows proposed in 2024, are beginning to integrate asynchronous synthesis more seamlessly with traditional EDA tools. This lack of comprehensive CAD support necessitates skilled designers to handle concurrency, protocols, and timing assumptions manually, increasing design time and error proneness. Asynchronous circuits are susceptible to metastability and hazards, particularly in non-speed-independent implementations where gate delays are not assumed to be arbitrary. Metastability can occur in mutual exclusion elements during arbitration, leading to unpredictable resolution times, though mean time between failures (MTBF) can be extremely high (e.g., 8.0 × 10²² years under typical conditions) with proper filtering. Hazards, such as static-1 or dynamic-10 glitches, arise from concurrent signal transitions and unindicated assumptions, potentially causing spurious outputs or oscillations if not explicitly avoided through hazard-free logic synthesis or delay-insensitive protocols. Testing asynchronous circuits presents significant hurdles due to their non-deterministic timing, which complicates automatic test pattern generation (ATPG) and fault coverage. Unlike synchronous circuits, where clock edges provide predictable states, asynchronous designs lack global timing references, making it difficult to apply standard stuck-at or delay fault models; for instance, scan-path insertion and I_DDQ testing are challenging with latches and handshaking, often resulting in higher test complexity and untestable faults from feedback paths. Techniques like single-stepping or conservative simulation are required, but they increase test development effort substantially. The handshaking logic essential for asynchronous communication introduces notable area overhead, typically requiring 20-50% more transistors than equivalent synchronous implementations to realize completion detection and control circuitry. For example, automated layouts for quasi-delay-insensitive circuits exhibit an average 51% area increase compared to hand-optimized designs, driven by dual-rail encoding and mutex elements. This overhead limits in resource-constrained applications. Adoption of asynchronous circuits remains limited by a steep and scarcity of (IP) cores. The need for specialized knowledge in formal modeling and mitigation, coupled with fewer commercially available asynchronous IP blocks relative to the vast synchronous , discourages widespread integration in industry designs. These barriers, compounded by the aforementioned tool and testing issues, have historically confined asynchronous approaches to niche, high-performance domains despite their potential benefits.

Historical Development

Key Milestones

The foundations of asynchronous circuit design were laid in the 1950s by and David E. Muller. Huffman pioneered the synthesis of asynchronous sequential switching circuits and fundamental-mode analysis, assuming inputs change only when the circuit is stable. Muller introduced key concepts such as speed-independent operation and the , a hysteresis-based that synchronizes signals only when both inputs agree, serving as a core primitive for self-timed systems. Muller's work, including his 1955 technical report on the theory of asynchronous circuits, emphasized circuits free from timing assumptions beyond wire delays, influencing subsequent hazard-free designs. Interest in asynchronous circuits revived in the through Caltech's Asynchronous VLSI Architecture , led by Alain J. Martin, which demonstrated practical viability by designing the first asynchronous in 1988 using speed-independent templates. This effort extended into the MiniMIPS , a high-performance R3000-compatible processor completed in the early , validating asynchronous pipelines for complex instruction execution at speeds comparable to synchronous counterparts. In the , research advanced with IBM's exploration of synchronous/asynchronous hybrids, integrating self-timed modules into clocked systems to mitigate in large-scale integration. Concurrently, Alain Martin formalized quasi-delay-insensitive (QDI) circuits, a robust tolerant to arbitrary gate and wire delays except isochronic forks, as detailed in his 1990 of delay insensitivity limitations. The 2000s marked commercial progress, exemplified by Seiko Epson's 2005 development of the world's first flexible 8-bit asynchronous using low-temperature polysilicon thin-film transistors, enabling low-power operation in bendable electronics. Research also intensified on globally-asynchronous locally-synchronous () architectures, which partition systems into synchronous islands connected by asynchronous wrappers, addressing in system-on-chip designs. From the 2010s onward, emphasis shifted to low-power applications, driven by energy efficiency needs in IoT and embedded systems, with asynchronous designs reducing dynamic power through event-driven operation without global clocks. Jens Sparsø's 2020 textbook, Introduction to Asynchronous Circuit Design, synthesized decades of progress, providing methodologies for QDI and bundled-data pipelines. Recent advancements include 2024 IEEE research on bundled-data flows, introducing end-to-end for high-performance asynchronous networks-on-chip implemented on FPGAs.

Notable Implementations

One of the earliest and most influential implementations of an asynchronous circuit was the first full asynchronous developed under Caltech's Asynchronous Project (ASP) in 1989. This 16-bit RISC processor, known as the Caltech Asynchronous (CAM), utilized Ivan Sutherland's micropipeline architecture, featuring bundled-data signaling with matched delays and request-acknowledge handshaking for . Fabricated in 2 μm , it achieved a peak performance of 12 MIPS on first silicon, demonstrating the feasibility of clockless operation without hazards or races. The design emphasized delay-insensitive principles, using dual-rail encoding for data and completion detection trees, and served as a proof-of-concept for scalable asynchronous systems. IBM explored asynchronous techniques in the 1990s to address challenges, developing self-resetting logic for components like adders and counters. This approach employed dynamic circuits with self-timed reset mechanisms to eliminate issues, enabling faster operation in sub-micron technologies. In the , IBM advanced asynchronous interlocked pipelined circuits operating at 3.3–4.5 GHz. Despite successes, several asynchronous projects faced commercialization challenges. For instance, Fulcrum Microsystems' advanced networking chips in the , such as their 10Gb Ethernet switch with asynchronous crossbars, incorporated innovative delay-insensitive logic but struggled with verification tools and design , leading to limited beyond prototypes before Intel's 2011 acquisition. Lessons from these efforts underscored the need for hybrid synchronous-asynchronous methodologies to mitigate tool ecosystem gaps and manufacturing variability. Philips Semiconductors (now NXP) pioneered asynchronous network implementations in the , developing token-ring based communication protocols for on-chip interconnects. These designs used self-timed arbiters and ring topologies to enable scalable, low-latency data transfer in multi-processor systems, avoiding overheads. The approach was applied in micropipeline-based networks for , demonstrating improved throughput in asynchronous environments.

Modern Applications

Asynchronous Processors

Asynchronous processors represent a class of dedicated CPU designs that operate without a global clock, using local handshaking protocols to synchronize operations and adapt to data-dependent execution times. These architectures leverage event-driven control to achieve average-case performance, making them suitable for low-power embedded applications where power is limited to active phases. Key innovations in asynchronous focus on pipelined structures that detect stage completion locally, enabling elastic data flow without fixed timing constraints. A foundational approach in asynchronous processor architecture is the micropipeline, pioneered by Charles Molnar and colleagues at Washington University, which emphasizes simple, composable building blocks for high-speed data processing. In this design, pipelines alternate between storage latches and combinational logic stages, with completion detection handled by Muller C-elements that sense when all inputs to a stage have stabilized and outputs have propagated. This mechanism generates forward-going request signals to advance data and backward-going acknowledge signals to prepare the next empty slot, creating an elastic FIFO-like structure that buffers variations in processing speed across stages. Molnar's work on transition-signaling circuits provided the theoretical basis for these detection methods, allowing asynchronous systems to match or exceed synchronous throughput in data-parallel operations while reducing latency overhead from . The AMULET project, conducted at the from the 1990s through the 2000s, developed a series of ARM-compatible asynchronous processors that demonstrated the viability of these techniques in full-scale microprocessors. Starting with AMULET1 in 1994, which implemented a micropipelined ARM core using two-phase bundled-data protocols for inter-unit communication, the project evolved to include on-chip caches and memory interfaces in later iterations like AMULET2 and AMULET3. These processors maintained binary compatibility with synchronous ARM software, employing concurrent pipelines for instruction fetch, decode, execute, and memory access, synchronized only at data exchange points via request-acknowledge handshakes. The series achieved clock-equivalent frequencies up to 200 MHz in advanced nodes, with AMULET3 matching the performance of contemporary ARM9 cores while offering advantages in reduction due to the absence of periodic clock switching. Asynchronous ALU and pipeline stage design involves trade-offs between full-custom and semi-custom methodologies, balancing performance, power, and development effort. Full-custom approaches, as used in early AMULET cores, involve hand-crafted transistor-level layouts with dynamic logic styles like domino gates, enabling 30% faster operation than static equivalents by minimizing latch overhead and optimizing wire delays in critical paths. However, they demand 2-3 times longer design cycles (up to 36 months) and intensive analog verification to address noise margins and charge sharing in asynchronous environments. In contrast, semi-custom designs rely on standard-cell libraries for ALU arithmetic units and registers, accelerating development to 12 months with automated place-and-route tools but incurring penalties in throughput (e.g., 20-50% lower for wide ALUs due to fixed cell heights and routing congestion) and power efficiency from less adaptive logic. These trade-offs are particularly pronounced in stages, where full-custom fine-grained partitioning (2-4 FO4 delays per stage) supports ultra-high speeds up to 1.6 GHz at low voltages, while semi-custom coarser stages prioritize robustness at the cost of increased latency. Performance evaluations of AMULET processors underscore these architectural strengths; for instance, the AMULET2 core, fabricated in a 0.7 μm process, operated at 80 MHz with approximately 30% lower power consumption than its synchronous counterpart on equivalent benchmarks, attributed to event-driven execution that eliminates idle switching in variable workloads. Later variants like AMULET3 further improved energy efficiency, achieving synchronous-comparable MIPS ratings with reduced dynamic power through adaptive pipelining. These metrics highlight asynchronous processors' potential for 10-40% power reductions in bursty applications, though overall chip area increased by 1.5-2x due to handshake circuitry. Integrating asynchronous processors into hybrid systems with synchronous components introduces significant challenges, primarily in clock domain crossing (CDC), where asynchronous handshaking signals must interface with clocked domains to avoid metastability and data corruption. In such setups, transitions require dual-rail encoding or FIFO buffers to synchronize multi-bit data paths, adding 20-50% area overhead and latency from additional completion detectors and synchronizers. Verification complexity escalates due to non-deterministic timing, necessitating specialized cosimulation tools to model domain interactions and ensure safe signal propagation across boundaries. These issues have limited widespread adoption in mixed-signal SoCs, though techniques like (globally asynchronous, locally synchronous) wrappers mitigate them by isolating domains with elastic buffers.

Emerging Uses

Asynchronous circuits are increasingly applied in low-power Internet of Things (IoT) devices, where their event-driven nature enables significant reductions in energy consumption compared to clocked counterparts, particularly for battery-constrained sensors and wearables. For instance, the SamurAI IoT node employs asynchronous logic to achieve ultra-low-power operation through event-driven wake-up mechanisms, allowing sensors to remain dormant until triggered, which extends battery life in remote deployments such as environmental monitoring systems. In neuromorphic computing, asynchronous circuits facilitate event-driven processing that mimics biological neural systems, enabling efficient implementation of (SNNs). Intel's Loihi chip, a neuromorphic research platform, utilizes asynchronous cores to support on-chip learning and spike-based communication, achieving low-latency inference with power efficiency orders of magnitude better than traditional GPUs for SNN workloads. This approach has influenced subsequent designs, such as Loihi 2, which refines asynchronous circuit optimizations for faster spike routing and scalability in applications like and , and Loihi 3, which supports up to 10 million neurons for enhanced and sensory processing as of 2025. Globally Asynchronous Locally Synchronous (GALS) architectures integrate asynchronous "islands" within system-on-chip (SoC) designs to enhance multi-core efficiency in edge and devices, mitigating issues while allowing adaptive . For example, a fine-grained SoC with pausible adaptive clocking in 16 nm FinFET technology demonstrated a 10% over a globally-clocked baseline. Such designs enable heterogeneous integration, where asynchronous domains handle variable workloads in baseband processing, reducing overall dynamic power by dynamically pausing inactive cores. In automotive and applications, asynchronous circuits offer radiation tolerance critical for harsh environments, with designs hardened against single-event upsets (SEUs) using techniques like NULL Convention Logic (NCL). NCL employs dual-rail encoding and a NULL state to enable delay-insensitive operation, providing advantages such as low power consumption during idle states by eliminating clock-driven switching and enhanced fault tolerance through inherent mechanisms for error detection and immunity to timing-related failures. Research has proposed SEU-resilient asynchronous pipelines suitable for such environments. These circuits provide inherent without global clocks, making them viable for avionics where reliability under cosmic rays is paramount. Recent developments as of 2025 include advanced bundled-data design flows tailored for AI accelerators, enabling automated synthesis of asynchronous pipelines with timing verification, as demonstrated in end-to-end tools from RTL to GDS. Additionally, prototypes for quantum interfaces leverage asynchronous protocols for distributed , such as teledata methods that synchronize classical control with quantum gates without fixed timing, paving the way for scalable hybrid systems.

References

  1. https://direct.mit.edu/books/[monograph](/page/Monograph)/3874/Trace-Theory-for-Automatic-Hierarchical
  2. https://www.inf.pucrs.br/~calazans/[graduate](/page/The_Graduate)/SSD/Steven-Nowick-PhD-thesis.pdf
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