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IPPS
2007
IEEE
16 years 11 days ago
New Results on the Performance Effects of Autocorrelated Flows in Systems
Temporal dependence within the workload of any computing or networking system has been widely recognized as a significant factor affecting performance. More specifically, burstin...
Evgenia Smirni, Qi Zhang, Ningfang Mi, Alma Riska,...
IPPS
1999
IEEE
15 years 10 months ago
Application Performance of a Linux Cluster Using Converse
Abstract. Clusters of PCs are an attractive platform for parallel applications because of their cost effectiveness. We have implemented an interoperable runtime system called Conve...
Laxmikant V. Kalé, Robert Brunner, James C....
IPL
2002
65views more  IPL 2002»
15 years 5 months ago
Parallel evolutionary algorithms can achieve super-linear performance
One of the main reasons for using parallel evolutionary algorithms (PEAs) is to obtain efficient algorithms with an execution time much lower than that of their sequential counter...
Enrique Alba
ICS
2010
Tsinghua U.
15 years 8 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
HPDC
1997
IEEE
15 years 10 months ago
Supporting Parallel Applications on Clusters of Workstations: The Intelligent Network Interface Approach
This paper presents a novel networking architecture designed for communication intensive parallel applications running on clusters of workstations (COWs) connected by highspeed ne...
Marcel-Catalin Rosu, Karsten Schwan, Richard Fujim...