Latest AMD FireStream GPU Compute Accelerators Deliver Almost 2x1 Single and Double Precision Peak Performance Over Last Generation
AMD today announced the launch of the AMD FireStream 9350
and 9370 GPU compute accelerators, delivering high
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.
"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 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.
"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 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.
