Parallel performance of CFD applications and the ubiquitous need for HPC with high fidelity, multidisciplinary analysis and optimization (MDO)

April 21st, 2009 10:40 am
Posted by Srinivas Kodiyalam
Tags: , , , , , , , , , ,

In this article, we discuss possible ways to improve Computational Fluid Dynamics (CFD) application software performance by highlighting key features of the High Performance Computing (HPC) clusters, including, multi-core processor performance, host channel adapters (HCA), multi-rail networks, and message passing (MPI) implementations and more as well as briefly highlight the ever-growing need for HPC for solving computing intensive MDO problems.

Click here to download "SGI Parallel Performance White Paper"

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Author Info


Srinivas has a Ph.D. in Mechanical Engineering from the University of California, Santa Barbara in 1988. He co-designed and developed the original version of Design Sensitivity and Optimization Modules (Solution Sequence 200) in the commercial CAE software, MSC Nastran (for MSC.Software). Srinivas has since then worked at General Electric Corporate R&D Center, Schenectady, NY, and Lockheed Martin Space Systems Company, Palo Alto, CA on applying Simulation based Design methods including CAE and MDO to realistic aerospace (spacecrafts, missiles) and aircraft engine design problems. Srinivas served as the first CTO (Chief Technology Officer) of Engineous Software Inc., RTP, North Carolina, managing the product planning/strategy and co-developing the iSIGHT process integration and multidisciplinary design optimization software. Srinivas has been with SGI (Silicon Graphics, Inc.) for the last 8+ years focused on HPC business development, manufacturing industry marketing and is presently responsible for SGI's Japan and Asia-Pacific sales. He is an Associate Fellow of AIAA (American Institute of Aeronautics and Astronautics).