Accelereyes Jacket + MATLAB + CUDA + Nvidia Tesla Supercomputer = Economical supercomputing.
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From: iajzenszmi on 10 Dec 2008 12:29 Jacket Overview Note: GPU = Graphical Processor Unit. Jacket is a GPU engine for MATLAB®. Jacket enables standard MATLAB code to run on the GPU, connecting the user-friendliness of MATLAB directly to the speed and visual computing capability of the GPU. Jacket is not another GPU API, nor is it simply a collection of GPU MEX functions. Rather, it is a complete and transparent system, automatically making memory transfer and execution optimization decisions. Jacket uses a compile on-the-fly system to allow GPU functions to run in MATLAB's interpretive style. Currently, Jacket is built on NVIDIA's CUDA technology. Jacket also includes the Graphics Toolbox for MATLAB (now available for ALL operating systems). The Graphics Toolbox integrates the Jacket computational engine with the full OpenGL capabilities of your GPU. This coupling of computation and graphics allows you to develop true Visual Computing applications. http://www.accelereyes.com/overview.php http://snipurl.com/7pbim The world's first teraflop many-core processor NVIDIA® Tesla computing solutions enable the necessary transition to energy efficient parallel computing power. With 240 cores per processor and based on the revoluationary NVIDIA® CUDA parallel computing architecture, Tesla scales to solve the world's most important computing challengesmore quickly and accurately. http://www.nvidia.com/object/tesla_computing_solutions.html http://snipurl.com/7pc76 Tesla C870 The NVIDIA® Tesla C870 GPU computing processor is a massively multi- threaded processor architecture that is ideal for high performance computing (HPC) applications used by scientists, engineers, and other technical professionals. The Tesla C870 GPU computing processor transforms a standard workstation into a personal supercomputer. With 128 streaming processor cores, the CUDA C-language development environment and developer tools, and a range of applications already ported, the Tesla C870 enables professionals to develop applications faster and solve problems that traditionally required access to a shared server cluster. Massively Multi-threaded Processor Architecture Solve compute problems at your workstation that previously required a large cluster 128 Floating Point Processor Cores Achieve up to 350 GFLOPS of performance (512 GFLOPS peak) with one C870 GPU Multi-GPU Computing Solve large-scale problems by dividing it across multiple GPUs Shared Data Memory Groups of processor cores can collaborate using shared data High Speed, PCI-Express Data Transfer Fast and high-bandwidth communication between CPU and GPU http://www.nvidia.com/object/product_tesla_c870_us.html http://snipurl.com/7pccl Submitted by Mr Ian Martin Ajzenszmidt |