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» Parallel Computer Workload Modeling with Markov Chains
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IPPS
2006
IEEE
14 years 3 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
DSN
2008
IEEE
14 years 3 months ago
Architectural dependability evaluation with Arcade
This paper proposes a formally well-rooted and extensible framework for dependability evaluation: Arcade (architectural dependability evaluation). It has been designed to combine ...
Hichem Boudali, Pepijn Crouzen, Boudewijn R. Haver...
SIGGRAPH
2009
ACM
14 years 3 months ago
PCCD: parallel continuous collision detection
We present a novel parallel continuous collision detection (PCCD) method to utilize the widely available multi-core CPU architecture. Our method works with a wide variety of defor...
Duksu Kim, Jae-Pil Heo, Sung-Eui Yoon
SC
2000
ACM
14 years 1 months ago
A Comparison of Three Programming Models for Adaptive Applications on the Origin2000
Adaptive applications have computational workloads and communication patterns which change unpredictably at runtime, requiring dynamic load balancing to achieve scalable performan...
Hongzhang Shan, Jaswinder Pal Singh, Leonid Oliker...
IPPS
2000
IEEE
14 years 1 months ago
Buffered Coscheduling: A New Methodology for Multitasking Parallel Jobs on Distributed Systems
Buffered coscheduling is a scheduling methodology for time-sharing communicating processes in parallel and distributed systems. The methodology has two primary features: communica...
Fabrizio Petrini, Wu-chun Feng