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» Middleware and Performance Issues for Computational Finance ...
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ICCS
2009
Springer
14 years 3 months ago
A Holistic Approach for Performance Measurement and Analysis for Petascale Applications
Abstract. Contemporary high-end Terascale and Petascale systems are composed of hundreds of thousands of commodity multi-core processors interconnected with high-speed custom netwo...
Heike Jagode, Jack Dongarra, Sadaf R. Alam, Jeffre...
SC
2005
ACM
14 years 1 months ago
Tera-Scalable Algorithms for Variable-Density Elliptic Hydrodynamics with Spectral Accuracy
We describe Miranda, a massively parallel spectral/compact solver for variabledensity incompressible flow, including viscosity and species diffusivity effects. Miranda utilizes...
Andrew W. Cook, William H. Cabot, Peter L. William...
IPPS
2006
IEEE
14 years 2 months ago
Lossless compression for large scale cluster logs
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
R. Balakrishnan, Ramendra K. Sahoo
DANCE
2002
IEEE
14 years 1 months ago
Panda: Middleware to Provide the Benefits of Active Networks to Legacy Applications
Panda is middleware designed to bring the benefits of active networks to applications not written with active networks in mind. This paper describes the architecture and implement...
Vincent Ferreria, Alexey Rudenko, Kevin Eustice, R...
IPPS
2006
IEEE
14 years 2 months ago
Topology-aware task mapping for reducing communication contention on large parallel machines
Communication latencies constitute a significant factor in the performance of parallel applications. With techniques such as wormhole routing, the variation in no-load latencies ...
T. Agarwal, Amit Sharma, A. Laxmikant, Laxmikant V...