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» High performance computing through parallel processing
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IPPS
2006
IEEE
15 years 9 months ago
A framework to develop symbolic performance models of parallel applications
Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the trem...
Sadaf R. Alam, Jeffrey S. Vetter
FGCS
1992
103views more  FGCS 1992»
15 years 4 months ago
Parallel Inference Machine PIM
: There have been no major control problems during the first three years of the new Tokaido-Sanyo Shinkansen (bullet train) Programmed Route Control (PRC) computer system. Prior to...
Kazuo Taki
HPDC
2002
IEEE
15 years 8 months ago
Using Kernel Couplings to Predict Parallel Application Performance
Performance models provide significant insight into the performance relationships between an application and the system used for execution. The major obstacle to developing perfor...
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Ri...
ICEIS
2009
IEEE
15 years 9 months ago
Vectorizing Instance-Based Integration Processes
Abstract. The inefficiency of integration processes—as an abstraction of workflow-based integration tasks—is often reasoned by low resource utilization and significant waiti...
Matthias Böhm, Dirk Habich, Steffen Preissler...
ICPPW
2008
IEEE
15 years 9 months ago
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems
Chip multiprocessors (CMP) are widely used for high performance computing. Further, these CMPs are being configured in a hierarchical manner to compose a node in a cluster system....
Xingfu Wu, Valerie E. Taylor, Charles W. Lively, S...