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'SiSoftware has made significant contributions to the OpenCL ecosystem with the release of its GPGPU benchmark suite with OpenCL support. WeвЂ™ve been a staunch supporter of and contributor to OpenCL since its inception,' Patricia Harrell, director of Stream Computing, AMD, said. 'AMD believes OpenCL is what the industry has been waiting for: an industry-standard, cross-platform development platform designed to allow developers to harness the immense computational power available in todayвЂ™s GPUs and multi-core CPUs.

When complete, the OpenCL benchmarking suite will finally give the industry the instruments needed for accurate measurements and assessments of performance, allowing for better and more confident decisions to be made. For those interested in numbers, AMD's card scored 1,820 megapixels per second on the 'native float shader' test, whereas NVIDIA's GTX 295 only managed 680.Д¬urrently, the two partners, AMD and SiSoftware, are working on measuring the capabilities of AMD's entire platforms, including not only its GPUs, but also its x86 Central Processing Units.

To be more specific, AMD's ATI Radeon HD 5870 delivers, under some OpenCL benchmark tests, a 2.7 times faster performance than NVIDIA's CUDA-based GeForce GTX 295, which uses two GPUs, as opposed to the 5870, which only has one.

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Through this contribution, Advanced Micro Devices was able to reap special benefits, such as performance optimizations and solutions to certain issues through the use of the ATI Stream Software Development Kit (SDK).

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The chip maker is the only company currently providing a full OpenCL development platform for the entire system. The SiSoftware OpenCL GPGPU benchmark suite performs computationally heavy algorithms such as the Mandelbrot set. The OpenCL benchmark suite is AMD's and SiSoftware's solution for those ISVs and OEMs that have been searching for a good method of measuring OpenCL-based configurations. The suite is a joint effort of AMD and SiSoftware and a part of SiSoftware Sandra 2010, the most recent incarnation of the award-winning utility invented in 1997. While an accurate way of measuring the actual performance of CPU/GPU systems has not yet been developed, the OpenCL GPGPU benchmark suite aims to become the first application capable of such an analysis. This method through which data is processed, in parallel, by both CPU and GPU has as the most widely adopted industry standard the OpenCL.

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The source code is available on our groupвЂ™s GitLab.After a long time when heavy computational tasks were exclusively handled by the Central Processing Unit, computing has begun to shift away from this traditional approach, with the latest Graphics Processing Units being capable of offloading tasks from the CPU. These can then be used to evaluate the behavior of different scheduling algorithms under controlled conditions. GeMS is a customisable, open-source toolkit for generating random, yet constrained, modulo scheduling problems with a known optimal initiation interval. The source code for the benchmark and the data-sets can be downloaded from the Github page. The benchmark suites also comes with data-sets of different sizes for testing and performance evaluation. It contains three kernels and six different implementations for each kernel: They are extracted from the Autoware project and should represent parallelizable workloads from the automotive field. The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite contains automotive benchmarks used for the evaluation of heterogeneous, parallel programming models. The source code and documentation can be found on the GitHub repository. This work is being developed in collaboration with the Center for Computational Structural Biology. That increase the quality of predictions in complex real-world cases. Moreover, AutoDock-GPU features newly incorporated search methods Significantly faster than the original AutoDock. Molecular interactions on both GPUs & CPUs yielding docking predictions Parallelism of the AutoDock docking engine, AutoDock-GPU can simulate

We hope that the software will be useful to others! Software ProjectsДЄutoDock-GPU is an OpenCL-accelerated version of AutoDock, the widely-usedД«y leveraging the code portability of OpenCL and the embarrassingly

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On this page you can find the software projects that we have released to the public for free use, typically also as open-source software. Software plays a central role in our daily research and teaching activities, so we have also created a number of successful software projects here at ESA.

Opencl benchmark tool