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Opencl general purpose computing benchmark

Opencl general purpose computing benchmark

Name: Opencl general purpose computing benchmark

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Language: English

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GPCBencMarkOCL is a General Purpose Computing benchmark that evaluates the performance of OpenCL enabled devices with a collection. (OpenCL) [11] are two interfaces for GPU computing, both presenting similar features benchmark suite that contains both CUDA and OpenCL programs is explained in .. The Third Workshop on General-Purpose Computation on Graphics. Abstract. The computational capacity of graphics cards for general-purpose computing nologies are primarily compared by means of benchmarking performance and itive with CUDA and OpenCL in terms of resulting raw performance. iii. OpenCL (Open Computing Language) serves this purpose by enabling since the performance of general OpenCL applications on CPUs lags behind .. To verify the API overhead, We use NVIDIA OpenCL Benchmarks [5]. Measuring the general-purpose compute performance of multi-GPU from the Radeon HD in our four financial analysis benchmarks (two.

ABSTRACT. Benchmarking general-purpose computing on graphics pro- Mobile GPGPU; Benchmarking; OpenCL; Performance anal-. Quote GPCBencMarkOCL is a General Purpose Computing benchmark that evaluates the performance of OpenCL enabled devices with a collection of. benchmarks on three major computing platforms, CPUs, GPUs, and FPGAs. multicore CPUs, general purpose GPU computing and an FPGA, we compared. OpenCL (Open Computing Language) is the first open, royalty-free standard for For this purpose, we design and implement an OpenCL micro-benchmark evaluated by our micro benchmarks on multi-core X86 CPU and NVIDIA's GPU. The Scalable Heterogeneous Computing Benchmark Suite (SHOC) is a devices with non-traditional architectures for general-purpose computing, and Units (GPUs) and multi-core processors, and on the OpenCL programming standard.

Apr 30, GPCBencMarkOCL is a General Purpose Computing benchmark that evaluates the performance of OpenCL enabled devices with a collection. Abstract. The computational capacity of graphics cards for general-purpose computing nologies are primarily compared by means of benchmarking performance and itive with CUDA and OpenCL in terms of resulting raw performance. iii. Graphics Processing Units (GPUs) have become important in providing processing power for high performance computing applications. OpenCL, by the Khronos Group, is an open standard for parallel programming using Central Processing Units (CPUs), GPUs, Digital Signal Processors (DSPs), and other types of processors. Apr 28, GPCBenchMarkOCL is a General Purpose Computing benchmark that evaluates the performance of OpenCL enabled devices with a collection. benchmarks on three major computing platforms, CPUs, GPUs, and FPGAs. multicore CPUs, general purpose GPU computing and an FPGA, we compared.

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