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Tracing just-in-time compilation
Tracing just-in-time compilation is a technique used by virtual machines to optimize the execution of a program at runtime. This is done by recording a linear sequence of frequently executed operations, compiling them to native machine code and executing them. In contrast, traditional just-in-time compilation (JIT) compiles each method in turn, without optimizing between them.
Just-in-time compilation is a technique to increase execution speed of programs by compiling parts of a program to machine code at runtime. One way to categorize different JIT compilers is by their compilation scope. Whereas method-based JIT compilers translate one method at a time to machine code, tracing JITs use frequently executed loops as their unit of compilation. Tracing JITs are based on the behavior that many programs spend most of their time in some loops of the program, termed hot loops, and subsequent loop iterations often take similar paths. Virtual machines that have a tracing JIT are often mixed-mode execution environments, meaning that they have either an interpreter, or a method compiler, along with the tracing JIT.
A tracing JIT compiler goes through various phases at runtime. First, profiling information for loops is collected. After a hot loop has been identified, a special tracing phase is entered, which records all executed operations of that loop. This sequence of operations is called a trace. The trace is then optimized and compiled to machine code. When this loop is executed again, the compiled trace is called instead of the program counterpart.
These steps are explained in detail in the following:
The goal of profiling is to identify hot loops. This is often done by counting the number of iterations for every loop. After the count of a loop exceeds a certain threshold, the loop is considered to be hot, and tracing phase is entered.
In the tracing phase the execution of the loop proceeds normally, but in addition every executed operation is recorded into a trace. The recorded operations are typically stored in a trace tree, often in an intermediate representation (IR). Tracing follows function calls, which leads to them being inlined into the trace. Tracing continues until the loop reaches its end and jumps back to the start.
Since the trace is recorded by following one concrete execution path of the loop, later executions of that trace can diverge from that path. To identify the places where that can happen, special guard instructions are inserted into the trace. One example for such a place are if statements. The guard is a quick check to determine whether the original condition is still true. If a guard fails, the execution of the trace is aborted.
Since tracing is done during execution, the trace can be made to contain runtime information (e.g., type information). This information can later be used in the optimization phase to increase code efficiency.
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Tracing just-in-time compilation
Tracing just-in-time compilation is a technique used by virtual machines to optimize the execution of a program at runtime. This is done by recording a linear sequence of frequently executed operations, compiling them to native machine code and executing them. In contrast, traditional just-in-time compilation (JIT) compiles each method in turn, without optimizing between them.
Just-in-time compilation is a technique to increase execution speed of programs by compiling parts of a program to machine code at runtime. One way to categorize different JIT compilers is by their compilation scope. Whereas method-based JIT compilers translate one method at a time to machine code, tracing JITs use frequently executed loops as their unit of compilation. Tracing JITs are based on the behavior that many programs spend most of their time in some loops of the program, termed hot loops, and subsequent loop iterations often take similar paths. Virtual machines that have a tracing JIT are often mixed-mode execution environments, meaning that they have either an interpreter, or a method compiler, along with the tracing JIT.
A tracing JIT compiler goes through various phases at runtime. First, profiling information for loops is collected. After a hot loop has been identified, a special tracing phase is entered, which records all executed operations of that loop. This sequence of operations is called a trace. The trace is then optimized and compiled to machine code. When this loop is executed again, the compiled trace is called instead of the program counterpart.
These steps are explained in detail in the following:
The goal of profiling is to identify hot loops. This is often done by counting the number of iterations for every loop. After the count of a loop exceeds a certain threshold, the loop is considered to be hot, and tracing phase is entered.
In the tracing phase the execution of the loop proceeds normally, but in addition every executed operation is recorded into a trace. The recorded operations are typically stored in a trace tree, often in an intermediate representation (IR). Tracing follows function calls, which leads to them being inlined into the trace. Tracing continues until the loop reaches its end and jumps back to the start.
Since the trace is recorded by following one concrete execution path of the loop, later executions of that trace can diverge from that path. To identify the places where that can happen, special guard instructions are inserted into the trace. One example for such a place are if statements. The guard is a quick check to determine whether the original condition is still true. If a guard fails, the execution of the trace is aborted.
Since tracing is done during execution, the trace can be made to contain runtime information (e.g., type information). This information can later be used in the optimization phase to increase code efficiency.