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Issue No.11 - November (2011 vol.44)
pp: 37-43
Darren Kerbyson , Pacific Northwest National Laboratory
Abhinav Vishnu , Pacific Northwest National Laboratory
Kevin Barker , Pacific Northwest National Laboratory
Adolfy Hoisie , Pacific Northwest National Laboratory
The complexity of large-scale parallel systems necessitates the simultaneous optimization of multiple hardware and software components to meet performance, efficiency, and fault-tolerance goals. A codesign methodology using modeling can benefit systems on the path to exascale computing.
High-performance computing, Codesign, Computer architectures, Modeling
Darren Kerbyson, Abhinav Vishnu, Kevin Barker, Adolfy Hoisie, "Codesign Challenges for Exascale Systems: Performance, Power, and Reliability", Computer, vol.44, no. 11, pp. 37-43, November 2011, doi:10.1109/MC.2011.298
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3. D.J. Kerbyson, A. Vishnu, and K.J. Barker, "Energy Templates: Exploiting Application Information to Save Energy," Proc. IEEE Int'l Conf. Cluster Computing (Cluster 11), IEEE CS, 2011, pp. 1-9.
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12. A. Vishnu et al., "Fault-Tolerant Communication Runtime Support for Data Centric Programming Models," Proc. Int'l Conf. High-Performance Computing (HiPC 10), IEEE, 2010, pp. 1-9.
13. H.V. Dam, A. Vishnu, and W.D. Jong, "Designing a Scalable Fault Tolerance Model for Computational Chemistry: A Case Study with Coupled Cluster Perturbative Triples," J. Chemical Theory and Computation, vol. 7, no. 1, 2011, pp. 66-75.
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