The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - Jan.-Feb. (2013 vol.15)
pp: 16-25
Mark S. Shephard , Rensselaer Polytechnic Institute
Cameron Smith , Rensselaer Polytechnic Institute
John E. Kolb , Rensselaer Polytechnic Institute
ABSTRACT
Although there's a widespread belief that the effective application of high-performance computing will dramatically increase industrial innovation, progress in this area has been slow and limited because of a combination of technical and economic impediments. Here, such impediments are outlined, along with efforts to address them.
INDEX TERMS
Computational modeling, Software, Companies, Industries, Parallel processing, Computers, Licenses, scientific computing, computer-aided design, computer-aided manufacturing, computer-aided engineering
CITATION
Mark S. Shephard, Cameron Smith, John E. Kolb, "Bringing HPC to Engineering Innovation", Computing in Science & Engineering, vol.15, no. 1, pp. 16-25, Jan.-Feb. 2013, doi:10.1109/MCSE.2012.128
REFERENCES
1. Council on Competitiveness, “Whirlpool's Home Appliance Rocket Science: Design to Delivery with High Performance Computing,” case study, Apr. 2009; www.compete.org/publications/detail/682whirlpools-home-appliance-rocket-science-design-to-delivery-with-high-performance-computing .
2. M. Zhou et al., “Unstructured Mesh Partition Improvement for Implicit Finite Element at Extreme Scale,” J. Supercomputing, vol. 59, no. 3, 2012, pp. 1218–1228.
3. DOE Advanced Scientific Computing Research (ASCR), Int'l Exascale Software Project Roadmap, draft, Jan. 2010; www.exascale.org/mediawiki/images/a/a1Iesp-roadmap-draft-0.93-complete.pdf .
4. S. Tendulkar et al., “Parallel Mesh Generation and Adaptation for CAD Geometries,” Proc. NAFEMS World Congress, Nat'l Agency for Finite Element Methods and Standards (NAFEMS), 2011; www.scorec.rpi.edu/REPORTS2011-2.pdf.
5. M.W. Beall, J. Walsh, and M.S. Shephard, “A Comparison of Techniques for Geometry Access Related to Mesh Generation,” Eng. with Computers, vol. 20, no. 3, 2004, pp. 210–221.
6. F. Delalonondre, C. Smith, and M.S. Shephard, “Collaborative Software Infrastructure for Adaptive Multiple Model Simulation,” Computational Methods of Applied Mechanical Eng., vol. 199, nos. 21–22, 2010, pp. 1352–1370.
46 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool