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FGCS
2006
135views more  FGCS 2006»
15 years 3 months ago
Scaling applications to massively parallel machines using Projections performance analysis tool
Some of the most challenging applications to parallelize scalably are the ones that present a relatively small amount of computation per iteration. Multiple interacting performanc...
Laxmikant V. Kalé, Gengbin Zheng, Chee Wai ...
NIPS
2007
15 years 4 months ago
Parallelizing Support Vector Machines on Distributed Computers
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai...
ISCA
2006
IEEE
92views Hardware» more  ISCA 2006»
15 years 3 months ago
Quantum Memory Hierarchies: Efficient Designs to Match Available Parallelism in Quantum Computing
The assumption of maximum parallelism support for the successful realization of scalable quantum computers has led to homogeneous, "sea-of-qubits" architectures. The res...
Darshan D. Thaker, Tzvetan S. Metodi, Andrew W. Cr...
ICDCS
2006
IEEE
15 years 9 months ago
Greedy is Good: On Service Tree Placement for In-Network Stream Processing
This paper is concerned with reducing communication costs when executing distributed user tasks in a sensor network. We take a service-oriented abstraction of sensor networks, whe...
Zoë Abrams, Jie Liu
CCGRID
2006
IEEE
15 years 9 months ago
Statistical Data Reduction for Efficient Application Performance Monitoring
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable and sustained performance to applications....
Lingyun Yang, Jennifer M. Schopf, Catalin Dumitres...