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IDC Announces New Winners of HPC Innovation Excellence Awards
Press Release by IDC
International Data Corporation (IDC), a leading analyst firm, in a press release, dated November 13, 2012, announced that Computational Research Laboratories is one of the recipients of the coveted HPC Innovation Excellence Award.
Past winners of the HPC Innovation Excellence Award include a broad spectrum of end-users and technology developers across multiple verticals throughout the world. All of the simulations demonstrated one or more of these criteria:
- Economic impact
- Acceleration of key industrial and simulation processes
Excerpts from the press release:
“The HPC Innovation Excellence Award recognizes noteworthy achievements by users of high performance computing (HPC) technologies. The program's main goals are to showcase return on investment (ROI) and scientific success stories involving HPC; to help other users better understand the benefits of adopting HPC and justify HPC investments, especially for small and medium-size businesses (SMBs); to demonstrate the value of HPC to funding bodies and politicians; and to expand public support for increased HPC investments.”
“Engineers at Computational Research Laboratories (CRL), a subsidiary of Tata Consultancy Services, developed an HPC-driven computational fluid dynamics (CFD) procedure aimed at adding realism to real-world wind tunnel data. This innovation could become crucial for the aerospace industry and others using similar technology to improve their product designs. The CFD developments by CRL-TCS are targeted at increasing the accuracy of predictions of maximum lift for aircraft and optimizing the utilization of wind tunnel testing. Improving maximum lift calculations could enable designers to use less material in aircraft, resulting in improved fuel efficiency and lower fuel costs. Improvements for wind tunnel testing alone have resulted in up to 20% reduction in flap prediction tests and estimated savings of at least $2 million per product design. The CFD methodologies could potentially be applied to other problems, resulting in more savings.”
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