Tokyo Tech Builds First Tesla GPU-Based Heterogeneous Cluster

By DE Editors

At SC08 held in Austin, TX, this week, the Tokyo Institute of Technology (Tokyo Tech;  Japan) announced a collaboration with NVIDIA to use NVIDIA Tesla GPUs to boost the computational horsepower of its TSUBAME supercomputer. Through the addition of 170 Tesla S1070 1U systems, the TSUBAME supercomputer now delivers nearly 170 TFLOPS of theoretical peak performance, as well as 77.48 TFLOPS of measured Linpack performance, placing it, again, amongst the top ranks in the world’s Top 500 Supercomputers, states the release.

The first to achieve Top 500 ranking with an NVIDIA Tesla-based GPU cluster, Tokyo Tech is one of hundreds of universities and supercomputing centers that have adopted GPU-based solutions for research. Other leading centers include the National Center of Supercomputing Applications (NCSA) at the University of Illinois,  Rice University, University of Heidelberg, University of Maryland, Max Planck Institute, and University of North Carolina.

The Tesla S1070 1U GPU system is based on the NVIDIA CUDA parallel architecture. This architecture is accessible through an industry standard C language programming environment that allows developers and researchers to tap into the parallel architecture of the GPU more quickly and easily than other solutions available today.

For more information on NVIDIA Tesla S1070, please visit NVIDIA.

For previous DE coverage, see “NVIDIA Tesla Transforms Seismic Modeling,” (Nov. 2008).

Sources:  Press materials received from the company and additional information gleaned from the company’s website.