Abstract
There are many motivations driving the desire for increased energy efficiency. While many sectors share similar motivations, the High Performance Computing (HPC) sector must address a different set of challenges in achieving energy efficiency. This chapter will outline some of the motivations of this research along with the approach taken to address these recognized challenges, specifically for large-scale platforms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
These changes were applied to the production Red Storm capability class platform at Sandia National Laboratories and the Cray XT4 platform at Pittsburgh Supercomputer Center and have reduced power-related facility charges by an estimated one million dollars to date.
References
S. Borkar, A.A. Chien, The future of microprocessors. Commun. ACM 54(5), 67–77 (2011)
S.A. McKee, Reflections on the Memory Wall, in Proceedings of the Conference on Computing Frontiers, ser. CF ’04. ACM, 2004
D.W. Wall, Limits of Instruction-Level Parallelism, in SIGARCH Computer Architecture News, ACM, vol. 19, 1991
K. Bergman, S. Borkar, D. Campbell, W. Carlson, W. Dally, M. Denneau, P. Franzon, W. Harrod, J. Hiller, S. Karp, S. Keckler, D. Klein, R. Lucas, M. Richards, A. Scarpelli, S. Scott, A. Snavely, T. Sterling, R. S. Williams, K. Yelick, Exascale Computing Study: Technology challenges in achieving exascale systems peter kogge, editor& study lead, 2008
X. Feng, R. Ge, K.W. Cameron, Power and Energy Profiling on Scientific Applications on Distributed Systems, in IEEE Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS), 2005
R. Ge, X. Feng, S. Song, H.-C. Chang, D. Li, K. Cameron, PowerPack: energy profiling and analysis of high-performance systems and applications. Trans. Parallel Distrib. Syst. 21(5), 658–671 (2010)
M. White, Physics-of-Failure Based Modeling and Lifetime Evaluation, in Microelectronics Reliability (Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2008)
E. Pinheiro, W-D. Weber, L.A. Barroso, Failure Trends in a Large Disk Drive Population, in Proceedings of the 5th USENIX conference on File and Storage Technologies (USENIX), 2007
C. Hsu, W. Feng, Power-Aware Run-Time System for High-Performance Computing, in Proceedings of the International Conference on High Performance Computing, Networking, Storage, and Analysis (SC), ACM/IEEE, 2005
A. Zavanella, A. Milazzo, Predictability of Bulk Synchronous Programs Using MPI, in IEEE Proceedings of the Euromicro Workshop on Parallel and Distributed Processing, 2000
F. Petrini, D. Kerbyson, S. Pakin, The Case of the Missing Supercomputer Performance: achieving optimal performance on the 8,192 processors of ASCI Q, in Proceedings of the International Conference on High Performance Computing, Networking, Storage, and Analysis (SC), ACM/IEEE, 2003
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 James H. Laros III
About this chapter
Cite this chapter
Laros III, J.H. et al. (2013). Introduction. In: Energy-Efficient High Performance Computing. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4492-2_1
Download citation
DOI: https://doi.org/10.1007/978-1-4471-4492-2_1
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4491-5
Online ISBN: 978-1-4471-4492-2
eBook Packages: Computer ScienceComputer Science (R0)