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May 09, 2016 · Each Pascal streaming multiprocessor houses 64 FP32 CUDA cores, half that of a Maxwell SM. Within each Pascal streaming multiprocessor there are two 32 CUDA core partitions, two dispatch units and a brand new, smarter, scheduler. In addition to an instruction buffer that’s twice the size of Maxwell per CUDA core.

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CUDA™ is a parallel computing platform and programming model for graphics processing units (GPUs). The original CUDA programming environment was comprised of an extended C compiler and tool chain, known as CUDA C. CUDA C allowed direct programming of the GPU from a high level language. In mid 2009, PGI and NVIDIA cooperated to develop CUDA ...

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As a result, each one of these GPU compute units operates in a manner comparable to a CPU core. However, unlike a CPU core which is designed and optimized to handle serial tasks, the “GPU core” is designed and optimized to handle parallel tasks. AMD A10-7850K APU with Radeon™ R7 graphics 12 Compute Cores (4 CPU + 8 GPU)

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More processing elements per compute unit on GPU Intel recommends workgroup size of 64-128 Often 128 is minimum to get good performance on GPU On NVIDIA Fermi, workgroup size must be at least 192 for full utilization of cores If using a lot of registers or local memory, may be necessary/optimal to use smaller workgroup sizes The RT cores are used for just a portion of the rendering (intersecting rays with scene geometry); the CUDA cores are still used for shading and all other calculations. Keeping in mind that this is the very first hardware generation that supports raytracing, I'm pretty sure the next generations will have better performance.

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CPU vs GPU threads a b c core 1 core 2 • If the CPU has n cores, each core processes 1/n elements • Launching, scheduling threads adds overhead a b c • GPUs process one element per thread • Scheduled by GPU hardware, not by OS

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CUDA Device Query (Driver API) statically linked version Detected 1 CUDA Capable device(s) Device 0: "GRID P4-4Q" CUDA Driver Version: 9.0 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 4096 MBytes (4294705152 bytes) (20) Multiprocessors, (128) CUDA Cores/MP: 2560 CUDA Cores GPU Max Clock rate: 1114 MHz (1.11 GHz ... CUDA programming model with nvcccompiler. Two Intel E5-2670 (2.6GHz 8 cores) CPUs: 2.60 GHz × 8 flops/cycle = 20.8 GFlops/core; 16 core × 20.8 GFlops/core = 332.8 GFlops. ⇒ 1170/332.8 = 3.5. One K20c is as strong as 3.5 × 16 = 56.25 cores. CUDA stands for Compute Unified Device Architecture, is a general purpose parallel computing ...

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