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ANSS
2003
IEEE
15 years 11 months ago
Performance Analysis of Parallel Job Scheduling in Distributed Systems
This paper studies parallel job scheduling in a distributed system. A simulation model is used to address performance issues associated with scheduling. Five policies are used to ...
Helen D. Karatza, Ralph C. Hilzer Jr.
ICCS
2004
Springer
15 years 11 months ago
Improved Sampling for Biological Molecules Using Shadow Hybrid Monte Carlo
Shadow Hybrid Monte Carlo (SHMC) is a new method for sampling the phase space of large biological molecules. It improves sampling by allowing larger time steps and system sizes in ...
Scott S. Hampton, Jesús A. Izaguirre
CCGRID
2011
IEEE
14 years 10 months ago
A Segment-Level Adaptive Data Layout Scheme for Improved Load Balance in Parallel File Systems
Abstract—Parallel file systems are designed to mask the everincreasing gap between CPU and disk speeds via parallel I/O processing. While they have become an indispensable compo...
Huaiming Song, Yanlong Yin, Xian-He Sun, Rajeev Th...
HPCS
2007
IEEE
16 years 17 days ago
Improved Grid Metascheduler Design using the Plackett-Burman Methodology
In the context of computational grids, a metascheduler is the service responsible for scheduling jobs across many geographically distributed processor clusters. Typically, these s...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
ICASSP
2011
IEEE
14 years 10 months ago
Improving melody extraction using Probabilistic Latent Component Analysis
We propose a new approach for automatic melody extraction from polyphonic audio, based on Probabilistic Latent Component Analysis (PLCA). An audio signal is first divided into vo...
Jinyu Han, Ching-Wei Chen