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PVM
2009
Springer
14 years 2 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
CF
2009
ACM
14 years 2 months ago
Strategies for dynamic memory allocation in hybrid architectures
Hybrid architectures combining the strengths of generalpurpose processors with application-specific hardware accelerators can lead to a significant performance improvement. Our ...
Peter Bertels, Wim Heirman, Dirk Stroobandt
PDP
2011
IEEE
12 years 11 months ago
Transport Optimization in Peer-to-Peer Networks
Abstract—The peer-to-peer networking concept has revolutionized the cost structure of Internet data dissemination by making large scale content delivery with low server cost feas...
Konstantin Miller, Adam Wolisz
ICS
2007
Tsinghua U.
14 years 1 months ago
Optimization of data prefetch helper threads with path-expression based statistical modeling
This paper investigates helper threads that improve performance by prefetching data on behalf of an application’s main thread. The focus is data prefetch helper threads that lac...
Tor M. Aamodt, Paul Chow
ICS
2007
Tsinghua U.
14 years 1 months ago
Performance driven data cache prefetching in a dynamic software optimization system
Software or hardware data cache prefetching is an efficient way to hide cache miss latency. However effectiveness of the issued prefetches have to be monitored in order to maximi...
Jean Christophe Beyler, Philippe Clauss