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GPU Products Partner |
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NVIDIA® Tesla™ GPU Technology
Tesla™ computing solutions enable users to process large datasets with a massively multi-threaded computing architecture. By developing a parallel architecture from the ground up, NVIDIA® has designed its new Tesla computing products to meet the requirements of HPC software. Exclusive computing features include a Thread Execution Manager to coordinate the concurrent execution of thousands of computing threads and a Parallel Data Cache enabling computing threads to share data easily, delivering results in less time. NVIDIA® also offers the world's only C-language development environment for the GPU, the NVIDIA CUDA™ software development kit.
Silicon Mechanics and NVIDIASilicon Mechanics and NVIDIA® Tesla™ GPU computing solutions solve the world's most important challenges by advancing high performance computing (HPC) with a massively multi-threaded architecture. With a 128-processor computing core per GPU, C-language development environment for the GPU, suite of developer tools (C compiler, debugger, performance profiler, optimized libraries), and the world's largest GPU computing ISV development community, Tesla allows you to develop applications faster and to deploy them across multiple generations of processors. Tesla GPU computing solutions also can be used in tandem with multi-core CPU systems to create a scalable computing solution that fits seamlessly into existing workstation or IT infrastructures. Silicon Mechanics can integrate Tesla GPU technology to your HPC needs as required; we offer the NVIDIA Tesla C1060 GPU Computing Processor, the NVIDIA Tesla S1070 GPU Computing System 1.296 GHz, the NVIDIA Tesla S1070 GPU Computing System 1.44 GHz, the Hyperform HPCg A2401 with NVIDIA Tesla Workstation, and the Hyperform HPCg R3401 Cluster with NVIDIA Tesla.
Parallel PerformanceTesla computing solutions enable users to process large datasets with a massively multi-threaded computing architecture. By developing a parallel architecture from the ground up, NVIDIA has designed its new Tesla computing products to meet the requirements of HPC software. Exclusive computing features include a Thread Execution Manager to coordinate the concurrent execution of thousands of computing threads and a Parallel Data Cache enabling computing threads to share data easily, delivering results in less time.
C for the GPUThe world's only C-language development environment for the GPU, the NVIDIA CUDA software development kit includes a standard C compiler, hardware debugger tools, and a performance profiler for simplified application development.Developer CommunityNVIDIA is the catalyst for the largest GPU computing developer community. NVIDIA's interactive, on-line GPU developer community provides access to forums, educational materials, and additional resources and tools.» More about NVIDIA CUDA technology |
