Visit additional Tabor Communication Publications
June 23, 2010
AMD FireStream 9370 offers third generation double precision support; AMD FireStream 9350 is industry's only single-slot PCIe accelerator
SUNNYVALE, Calif., June 23 -- AMD today announced the launch of the AMD FireStream 9350 and 9370 GPU compute accelerators, delivering industry leading performance and power efficiency to the commercial, scientific and academic research markets. With up to 2.64 TFLOPS of compute power, the new AMD FireStream accelerators are ideal for HPC, cloud and enterprise-scale deployments that require advanced performance for handling today's highly parallel, compute-intensive workloads. Several AMD technology partners and OEMs plan to offer rack mounted servers and expansion systems featuring AMD FireStream 9350 and 9370 accelerators, including One Stop Systems and Supermicro.
"Heterogeneous systems in which high-performance GPU and x86 CPU technologies work in tandem can deliver enormous computational power," said Patricia Harrell, director, Stream Computing, AMD. "Industry standards like OpenCL are driving rapid adoption of heterogeneous architectures, and commercial customers deploying systems with AMD FireStream accelerators and AMD Opteron processors can immediately experience the benefits of the combined technologies."
The new solutions are designed to deliver optimal compute performance and power efficiency. The AMD FireStream 9350 delivers 2.0 TFLOPS of single precision performance and 400 GFLOPS of double precision floating point performance in a single-slot, 150W solution with 2GB of GDDR5 memory, enabling breakthrough compute density. The AMD FireStream 9370 delivers up to 2.64 TFLOPS of single precision performance and 528 GFLOPS of double-precision performance, and includes 4GB of high-speed GDDR5 memory, at a maximum board power of 225 watts. In addition, the AMD FireStream 9350 and 9370 both support leading industry standard application interfaces, including OpenCL, DirectX 11 and OpenGL.
The OpenCL industry standard programming language allows developers to preserve their source code investments and easily target multi-core CPUs, GPUs, and will be supported on the upcoming AMD Fusion APUs. With the ATI Stream Software Development Kit v2.1, the developer community can harness the combined compute power of ATI FireStream GPU compute accelerators and AMD Opteron processor-based platforms such as the AMD Opteron 4000 Series platforms announced today, and allocate workloads among both processors to achieve optimal application performance.
The AMD FireStream 9350 and 9370 GPU compute accelerators are scheduled to be available for purchase from AMD and its technology partners, including One Stop Systems and Supermicro, beginning in Q3 2010.
"Rendering 3D video game graphics by way of a cloud model makes sense on so many levels, completely removing the issue of platform compatibility by potentially turning every device that can access the cloud into a gaming client," said Jules Urbach, founder of OTOY. "The rendering power of AMD GPU compute accelerators is phenomenal, and I believe it delivers the compute density and performance needed to make the OTOY business model a success."
"OSS has worked closely with AMD to provide our PCIe-based, GPU appliances with AMD FireStream compute accelerators, and we have found AMD extremely easy to work with and its GPU products to be outstanding," said Steve Cooper, chief executive officer, One Stop Systems. "We anticipate these new AMD FireStream accelerators will provide the configurability and performance required by high-end HPC applications."
"Our customers' face increasingly demanding enterprise data center requirements for power consumption, cooling, and floor space, and at Supermicro our goal is to deliver solutions that offer maximum performance per watt, per square foot and per dollar," said Don Clegg, vice president of Marketing at Supermicro. "By offering GPU compute accelerators in combination with powerful multi-core CPUs, we are keeping pace with our customers' demands. The AMD FireStream 9350 and 9370 compute accelerators are a natural fit for our industry-leading server solutions."
Advanced Micro Devices (NYSE: AMD) is an innovative technology company dedicated to collaborating with customers and technology partners to ignite the next generation of computing and graphics solutions at work, home and play. For more information, visit http://www.amd.com.
1. Based on comparison of AMD FireStream 9250 with 1 TFLOPS single precision performance, 200 GFLOPS double precision, max board power of 120W and performance per watt of 8 GFLOPS performance per watt to the AMD FireStream 9350 with 2.0 TFLOPS of single precision, 400 GFLOPS double precision, max board power of 150W and 13 GFLOPS single precision performance per watt. Based on comparison of AMD FireStream 9270 with 1.2 TFLOPS single precision, 240 FLOPS double precision, max board power of 200W and 6 GFLOPS single precision performance per watt to the AMD FireStream 9370 with 2.6 TFLOPS single precision, 528 GFLOPS double precision, max board power of 225W and 11.5 GFLOPS of single precision performance per watt.
2. Based on comparison of AMD FireStream 9370 with 2.6 TFLOPS single precision performance, 528 GFLOPS double precision, max board power of 225W and 11.5 GFLOPS of single precision performance per watt to Nvidia Tesla C/M20X0 with 1 TFLOPS single precision, 515 GFLOPS double precision, max board power of 225 and 4 GFLOPS of single precision performance per watt.
3. AMD FireStream OpenCL compliant driver and SDK release scheduled for later in 2010.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.