NVIDIA Tesla M2090 Boosts Scientific Computation

May 18, 2011 by | Comments
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Based on the CUDA architecture codenamed “Fermi“, the TeslaM-class GPU Computing Modules are the world’s fastest parallel computing processors for high performance computing (HPC). TeslaGPU’s high performance makes them ideal for seismic processing,biochemistry simulations, weather and climate modeling, signal processing, computational finance, CAE, CFD, and data analystics.

The Tesla 20-series GPU Computing Processors are the first to deliver greater than 10X the double precision horse power of a quad-core x86 CPU and the first GPUsto deliver ECC memory.

Based on the Fermi architecture, these GPUs feature up to 665 gigaflops of double precision performance, 1 teraflops of single precision performance, ECC memory error protection, and L1 and L2 caches. The Tesla M-class GPU modules are integrated into GPU-CPU servers from OEMs.

This gives data center IT staff much greater choice in how they deploy GPUs, with a wide variety of rack-mount and blade systems and with remote monitoring and management capabilities – enabling large datacenter, scale-out deployments.

Equipped with 512 CUDA parallel processing cores, the Tesla M2090 GPU delivers 665 gigaflops of peak double-precision performance, enabling application acceleration by up to 10x compared to using a CPU alone.

–(Marketwire – NVIDIA Corporation)–

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