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Opencl benchmark for 2016 amd gpus
Opencl benchmark for 2016 amd gpus












opencl benchmark for 2016 amd gpus opencl benchmark for 2016 amd gpus
  1. #OPENCL BENCHMARK FOR 2016 AMD GPUS MAC OS X#
  2. #OPENCL BENCHMARK FOR 2016 AMD GPUS DRIVERS#

  • nVidia Pascal GTX 1060 GPU in a host with Ubuntu 15.04 64-bit Linux installed.
  • Based on state of the art algorithms, LuxRender simulates the flow of light according to physical equations, thus. the performance of iterative solvers on GPUs. LuxRender is a physically based and unbiased rendering engine. Portugal, June 28-30, 2016, Revised Selected Papers Ins Dutra, Rui Camacho, Jorge Barbosa, Osni Marques. Around one year after version 1.0, the new version of LuxMark, an OpenCL benchmark based on LuxRender, is available. The motherboard used was ASUS top-end ROG Maximus XII Extreme Z490 board. In the tests, the system ran on the Intel platform with Core i9-10900K CPU with 16 GB DDR4 RAM running at 3600 MHz.
  • AMD Radeon R9-290X GPU in a host with Ubuntu 14.04 64-bit Linux installed. LuxMark 2.0, OpenCL Benchmark for GPUs and CPUs. It appears that some user has gotten access to the system with the Radeon RX 6800 and RX 6800 XT GPUs, running Cinebench 4.4 OpenCL tests.
  • Use make VALUE_TYPE=double for double precision or make VALUE_TYPE=float for single precision.
  • The code supports both double precision and single precision SpMV.
  • #OPENCL BENCHMARK FOR 2016 AMD GPUS MAC OS X#

    nVidia GeForce GT 650M GPU in a host with Mac OS X 10.9.2 installed.nVidia GeForce GTX 980 GPU in a host with Ubuntu 14.04 64-bit Linux installed.Intel Xeon Kinghts Landing Phi (KNL) 7210 in a host with CentOS 7.2 64-bit Linux installed.Intel Xeon Knights Landing Phi (KNL) AVX-512 version Currently, only 64-bit double precision SpMV is supported.Intel Xeon E5-2667 v3 dual-socket CPUs with Redhat 6.5 64-bit Linux installed.Intel Core i7-4770R CPU with Ubuntu 14.04 64-bit Linux installed.For example, use source /opt/intel/composer_xe_2015.1.133/bin/compilervars.sh intel64, Set environments for the Intel C/C++ Compilers.(Jul 2016, avx2): Fixed a bug in processing small matrices.

    #OPENCL BENCHMARK FOR 2016 AMD GPUS DRIVERS#

    (Jul 2016, avx2): Improved performance of y-vector update. Drivers We will concentrate here on AMD GPUs as they offer the best hashing performance for the money when it comes to hashing power, the cost of the GPU. (Jul 2016, phi): fixed the same two issues in the original AVX2 version. The Radeon GPU Profiler is a performance tool that can be used by developers to optimize DirectX12, Vulkan and OpenCL applications for AMD RDNA and GCN hardware. (Jan 2017, avx512 and opencl): added two versions: AVX-512 for Knights Landing Phi (KNL) and OpenCL for nVidia GPUs. In Proceedings of the 29th ACM international conference on Supercomputing (ICS '15), pp.339-350, 2015.Ĭontact: Weifeng Liu and Brian Vinter (vinter at nbi.ku.dk). Weifeng Liu and Brian Vinter, "CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication".














    Opencl benchmark for 2016 amd gpus