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» Performance data collection using a hybrid approach
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TNN
2010
205views Management» more  TNN 2010»
15 years 1 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
168
Voted
IPPS
1999
IEEE
15 years 11 months ago
Implementation of a Virtual Time Synchronizer for Distributed Databases
The availability of high speed networks and improved microprocessor performance have made it possible to build inexpensive cluster of workstations as an appealing platform for par...
Azzedine Boukerche, Sajal K. Das, Ajoy Kumar Datta...
159
Voted
MICRO
1997
IEEE
90views Hardware» more  MICRO 1997»
15 years 10 months ago
ProfileMe: Hardware Support for Instruction-Level Profiling on Out-of-Order Processors
Profile data is valuable for identifying performance bottlenecks and guiding optimizations. Periodic sampling of a processor's performance monitoring hardware is an effective...
Jeffrey Dean, James E. Hicks, Carl A. Waldspurger,...
168
Voted
JPDC
2006
95views more  JPDC 2006»
15 years 6 months ago
Speculative pre-execution assisted by compiler (SPEAR)
Speculative pre-execution achieves efficient data prefetching by running additional prefetching threads on spare hardware contexts. Various implementations for speculative pre-exe...
Won Woo Ro, Jean-Luc Gaudiot
207
Voted
MASCOTS
2004
15 years 8 months ago
Architecture Independent Performance Characterization and Benchmarking for Scientific Applications
A simple, tunable, synthetic benchmark with a performance directly related to applications would be of great benefit to the scientific computing community. In this paper, we prese...
Erich Strohmaier, Hongzhang Shan