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Fermi (microarchitecture)
Fermi is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia, released fermi architecture to retail in April 2010, as the successor to the Tesla microarchitecture. It was the primary microarchitecture used in the GeForce 400 series and 500 series. All desktop Fermi GPUs were manufactured in 40nm, mobile Fermi GPUs in 40nm and 28nm[citation needed]. Fermi is the oldest microarchitecture from Nvidia that receives support for Microsoft's rendering API Direct3D 12 feature_level 11.
Fermi was followed by Kepler, and used alongside Kepler in the GeForce 600 series, GeForce 700 series, and GeForce 800 series, in the latter two only in mobile GPUs.
In the workstation market, Fermi found use in the Quadro x000 series, Quadro NVS models, and in Nvidia Tesla computing modules.
The architecture is named after Enrico Fermi, an Italian physicist.
Fermi Graphic Processing Units (GPUs) feature 3.0 billion transistors and a schematic is sketched in Fig. 1.
Each SM features 32 single-precision CUDA cores, 16 load/store units, four Special Function Units (SFUs), a 64 KB block of high speed on-chip memory (see L1+Shared Memory subsection) and an interface to the L2 cache (see L2 Cache subsection).[citation needed]
Allow source and destination addresses to be calculated for 16 threads per clock. Load and store the data from/to cache or DRAM.[citation needed]
Execute transcendental instructions such as sin, cosine, reciprocal, and square root. Each SFU executes one instruction per thread, per clock; a warp executes over eight clocks. The SFU pipeline is decoupled from the dispatch unit, allowing the dispatch unit to issue to other execution units while the SFU is occupied.[citation needed]
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Fermi (microarchitecture)
Fermi is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia, released fermi architecture to retail in April 2010, as the successor to the Tesla microarchitecture. It was the primary microarchitecture used in the GeForce 400 series and 500 series. All desktop Fermi GPUs were manufactured in 40nm, mobile Fermi GPUs in 40nm and 28nm[citation needed]. Fermi is the oldest microarchitecture from Nvidia that receives support for Microsoft's rendering API Direct3D 12 feature_level 11.
Fermi was followed by Kepler, and used alongside Kepler in the GeForce 600 series, GeForce 700 series, and GeForce 800 series, in the latter two only in mobile GPUs.
In the workstation market, Fermi found use in the Quadro x000 series, Quadro NVS models, and in Nvidia Tesla computing modules.
The architecture is named after Enrico Fermi, an Italian physicist.
Fermi Graphic Processing Units (GPUs) feature 3.0 billion transistors and a schematic is sketched in Fig. 1.
Each SM features 32 single-precision CUDA cores, 16 load/store units, four Special Function Units (SFUs), a 64 KB block of high speed on-chip memory (see L1+Shared Memory subsection) and an interface to the L2 cache (see L2 Cache subsection).[citation needed]
Allow source and destination addresses to be calculated for 16 threads per clock. Load and store the data from/to cache or DRAM.[citation needed]
Execute transcendental instructions such as sin, cosine, reciprocal, and square root. Each SFU executes one instruction per thread, per clock; a warp executes over eight clocks. The SFU pipeline is decoupled from the dispatch unit, allowing the dispatch unit to issue to other execution units while the SFU is occupied.[citation needed]