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Kepler employs a new streaming multiprocessor architecture called SMX. CUDA execution core counts were increased from 32 per each of 16 SMs to 192 per each of 8 SMX; the register file was only doubled per SMX to 65,536 x 32-bit for an overall lower ratio; between this and other compromises, despite the 3x overall increase in CUDA cores and ...
The Nvidia Hopper H100 GPU is implemented using the TSMC N4 process with 80 billion transistors. It consists of up to 144 streaming multiprocessors. [1] Due to the increased memory bandwidth provided by the SXM5 socket, the Nvidia Hopper H100 offers better performance when used in an SXM5 configuration than in the typical PCIe socket.
In G80/G90/GT200, each Streaming Multiprocessor (SM) contains 8 Shader Processors (SP, or Unified Shader, or CUDA Core) and 2 Special Function Units (SFU). Each SP can fulfill up to two single-precision operations per clock: 1 Multiply and 1 Add, using a single MAD instruction. Each SFU can fulfill up to four operations per clock: four MUL ...
121.8 MTr/mm 2: 121.8 MTr/mm 2: 118.9 MTr/mm 2: Graphics processing clusters 12 7 5 3 2 Streaming multiprocessors 144 80 60 36 24 CUDA cores: 18432 10240 7680 4608 3072 Texture mapping units: 576 320 240 144 96 Render output units: 192 112 80 48 32 Tensor cores: 576 320 240 144 96 RT cores: 144 80 60 36 24 L1 cache: 18 MB 10 MB 7.5 MB 4.5 MB 3 ...
Painting of Blaise Pascal, eponym of architecture. Pascal is the codename for a GPU microarchitecture developed by Nvidia, as the successor to the Maxwell architecture. The architecture was first introduced in April 2016 with the release of the Tesla P100 (GP100) on April 5, 2016, and is primarily used in the GeForce 10 series, starting with the GeForce GTX 1080 and GTX 1070 (both using the ...
Release Price (USD) Core Shader Memory Size Bandwidth DRAM type Bus width Pixel (GP/s) Texture (GT/s) Single precision Double precision Vulkan Direct3D OpenGL OpenCL 8 CUDA; GeForce 510 September 29, 2011 GF119 TSMC 40 nm: 292 79 PCIe 2.0 x16 523 1046 1800 1 48:8:4 1 2 14.4 DDR3 64 2.1 4.5 100.4 Unknown n/a [63] 12 FL 11_1
CUDA is a parallel computing platform and programming model that higher level languages can use to exploit parallelism. In CUDA, the kernel is executed with the aid of threads. The thread is an abstract entity that represents the execution of the kernel. A kernel is a function that compiles to run on a special device. Multi threaded ...
Streaming Multiprocessor (SM): composed of 32 CUDA cores (see Streaming Multiprocessor and CUDA core sections). GigaThread global scheduler: distributes thread blocks to SM thread schedulers and manages the context switches between threads during execution (see Warp Scheduling section).