QLogic Working with Nvidia
To optimize IB performance GPUs with reduced CPU involvement
This is a Press Release edited by StorageNewsletter.com on June 9, 2010 at 2:22 pmQLogic Corp. is working closely with NVIDIA to optimize performance of NVIDIA Tesla GPUs in multi-node configurations interconnected with QLogic TrueScale InfiniBand.
By tapping into the new NVIDIA GPUDirect technology, QLogic InfiniBand adapters, switches and directors communicate directly with NVIDIA GPUs with reduced CPU involvement, reducing communication overhead for optimal results.
"HPC environments increasingly deploy multiple nodes with NVIDIA GPUs to speed up processing for computationally-intensive applications such as seismic processing and molecular dynamics modeling," said Andy Keane, general manager, Tesla business at NVIDIA. "QLogic’s TrueScale InfiniBand architecture, optimized with our GPUDirect technology, natively supports this distributed computing environment with fully optimized NVIDIA-based GPU performance and industry-leading message passing performance."
QLogic’s TrueScale InfiniBand architecture requires no application re-compilation or software patches to deliver computational performance with NVIDIA GPUs, and still maintain the industry-leading scalable latency and high message rate for which QLogic InfiniBand solutions are known.
"Our work with NVIDIA is another demonstration of how QLogic TrueScale InfiniBand goes beyond basic OpenFabrics implementations to fully optimize the performance of key cluster technologies," said Jesse Parker, vice president and general manager, Network Solutions Group, QLogic. "Our software development groups continually strive to anticipate and meet the needs of HPC users who are implementing the latest technologies to maximize application performance, and our support of NVIDIA and its innovative GPUDirect technology is a great example of how those efforts benefit customers."
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