New AMD FirePro S9300 x2 Server GPU Fuels Efforts to Create Largest Map of the Universe
Researchers at Canadian Hydrogen Intensity Mapping Experiment Select World’s Fastest Single-Precision GPU Accelerator for High-Производительность Computing Project
SUNNYVALE, CA — (Marketwired) — 03/31/16 — AMD (NASDAQ: AMD) today announced that researchers at the Canadian Hydrogen Intensity Mapping Experiment (CHIME) will harness the AMD FirePro™ S9300 x2 Server GPU, the world’s fastest single-precision GPU accelerator1, to analyze extraordinary amounts of data to help create a new, very detailed 3D map of the largest volume of the Universe ever observed. Rather than using traditional dish-shaped telescopes, CHIME consists of four 100-metre-long cylindrical reflectors which cover an area larger than five professional hockey rinks and gathers signals for the critical computational analyses supplied by the AMD FirePro S9300 x2 GPU cluster.
The CHIME project was created to investigate the discovery that the expansion of the Universe is speeding up rather than slowing down. Using consumer technologies similar to those found in common radio receivers, the telescope collects radio waves that have travelled through space for up to 11 billion years and feeds them into a massive supercomputer Питаниеed by a серия of AMD FirePro S9300 x2 GPUs. The intense number crunching required to map the Universe’s expansion in this way was previously cost-prohibitive, but is now being enabled by AMD FirePro GPUs. The anticipated results will help create a highly-detailed map showing the intensity of the hydrogen radiation from billions of galaxies, which will help scientists understand the accelerating expansion of the Universe.
Основана на the third generation AMD Graphics Core Next (GCN) Архитектура, the AMD FirePro S9300 x2 Server GPU delivers up to 13.9 TFLOPS of peak single-precision floating point Производительность — greater than any other professional dual GPU accelerator available on the market today for single-precision compute1. It is the first GPU for data center use equipped with High Bandwidth Память (HBM). The 1TB/s Пропускная способность enabled by HBM on the AMD FirePro S9300 x2 GPU is 3.5X the Пропускная способность of the closest competitive solution2 while providing over 15X the Пропускная способность and 12X the peak single-precision Производительность of competing CPU solutions, making it a compelling addition to traditional x86 platforms3.
“We’re proud to participate with the CHIME project in this cosmic opportunity to map the evolution of the Universe. The applications of instinctive computing are expanding rapidly as seen in this fascinating CHIME project, through the use of Питаниеful graphics compute capabilities,” said Greg Stoner, senior director of Radeon Open Compute, Radeon Technology Group, AMD. “Not only is the new AMD FirePro S9300 x2 Server GPU the world’s fastest single-precision GPU accelerator, it is also the world’s first professional GPU accelerator to be equipped with High Bandwidth Память and the first to fully support the Radeon Open Compute platform — an integral element of the GPUOpen compute initiative.”
“CHIME faces an extraordinary computing task, but with the onset of previously unavailable technology and tools such as the AMD FirePro S9300 x2 GPU, we now have the computational Питание, bandwidth, and efficiency to make this data analysis possible to study the impact of dark energy on our Universe,” said Professor Keith Vanderlinde, of the Dunlap Institute for Astronomy & Astrophysics at the University of Toronto. “Our research is the result of the combined efforts of dedicated hardware, compute software and scientific research. We’re very appreciative of the supporting efforts from AMD in this project.”
To expose cutting-edge compute capabilities of the AMD FirePro S9300 x2 GPU and support unique opportunities such as the CHIME project, AMD developed the Radeon Open Compute platform (Основана на the Boltzmann initiative), a Linux®-focused open source software parallel computing platform optimized for HPC and Ultra-scale computing. The Radeon Open Compute kernel provides direct access to the graphics hardware, offering programmers more control over the code execution. Discover more at GPUOpen.com for the Radeon Open Compute platform-optimized open source math libraries, benchmarks and applications from AMD and third-party partners.
The AMD FirePro S9300 x2 Server GPU is a compelling product combining an open source compiler, runtime and driver full access, massive compute Производительность, and processor density supporting tight Питание and financial budgets. For more information on this product or how AMD FirePro™ graphics can be integrated into academic compute projects, contact the AMD Professional Graphics Team by email: [email protected]
1 AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro S9300 x2 delivers 13.9 TFLOPS of peak single-precision compute Производительность. As of March 18th, 2016, NVIDIA’s fastest Tesla board is the Tesla K80, which delivers up to 8.73 TFLOPS of single-precision compute Производительность. For AMD, calculation Основана на a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016: http://www.nvidia.com/object/tesla-k80.html FP-189
2 AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro S9300 x2 delivers 1024 GB/s of aggregate Пропускная способность, while the NVIDIA Tesla M40 delivers 288 GB/s of aggregate Пропускная способность, and the NVIDIA Tesla K80 delivers 480 GB/s aggregate Пропускная способность. For AMD, calculation Основана на a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016: http://www.nvidia.com/object/tesla-k80.html FP-188
3 AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro S9300 x2 GPU provides 13.9 TFLOPS of single-precision compute Производительность, and 1024 GB/s Пропускная способность. The highest-end Intel Xeon processor, the E5-2699 v3, delivers 1.1 TFLOPS single-precision floating point Производительность and 68 GB/s Пропускная способность. For AMD, calculation of peak floating point Производительность Основана на formula using a combination of shaders and clock speeds.For Intel, source of data as of March 21, 2016: http://www.intel.com/content/dam/www/public/us/en/documents/white-papers/Производительность-xeon-e5-v3-advanced-vector-extensions-paper.pdf FP-191
4 AMD customer CGG internal testing as of March 2016, with proprietary wave equation modelling Производительность benchmarking done on AMD FirePro™ S9300 x2, AMD FirePro™ S9150, Nvidia Tesla K80, Nvidia Tesla K40 and Nvidia Tesla M60. Varied system configurations may yield different results. AMD FirePro S9300 x2 relative speedup in comparison to AMD FirePro™ S9150, Nvidia Tesla K80, Nvidia Tesla K40 and Nvidia Tesla M60 was 2.73x, 2.71x, 2.05x, and 3.5x, respectively. FP-192
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“We’re very pleased with the AMD FirePro™ compute clusters,” said Jean-Yves Blanc, chief IT architect, CGG. “We’re also impressed by the 1TB/s Пропускная способность of the AMD FirePro S9300 x2, a board which delivers over 2x the Производительность of any other server GPU boards on CGG Wave Equation Modeling codes.”
“As a believer in open source solutions for parallel computing and high Производительность clusters, I applaud AMD for its many contributions and ongoing efforts,” said Simon McIntosh-Smith, head of the Microelectronics Group, Bristol University. “The combination of the innovative Radeon Open Compute platform as part of the GPUOpen efforts with the 1 TB/s Пропускная способность of the new AMD FirePro™ S9300 x2 Server GPU is creating excitement throughout the research and commercial communities.”
