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» Hiding Communication Latency in Data Parallel Applications
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117
Voted
CLUSTER
2006
IEEE
15 years 18 days ago
Optimizing MPI collective communication by orthogonal structures
Many parallel applications from scientific computing use MPI collective communication operations to collect or distribute data. Since the execution times of these communication op...
Matthias Kühnemann, Thomas Rauber, Gudula R&u...
93
Voted
ICDCS
2008
IEEE
15 years 7 months ago
stdchk: A Checkpoint Storage System for Desktop Grid Computing
— Checkpointing is an indispensable technique to provide fault tolerance for long-running high-throughput applications like those running on desktop grids. This paper argues that...
Samer Al-Kiswany, Matei Ripeanu, Sudharshan S. Vaz...
SC
1995
ACM
15 years 4 months ago
Predicting Application Behavior in Large Scale Shared-memory Multiprocessors
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Karim Harzallah, Kenneth C. Sevcik
CLUSTER
2004
IEEE
15 years 4 months ago
An efficient end-host architecture for cluster communication
Cluster computing environments built from commodity hardware have provided a cost-effective solution for many scientific and high-performance applications. Likewise, middleware te...
Xin Qi, Gabriel Parmer, Richard West
TPDS
2008
113views more  TPDS 2008»
15 years 13 days ago
Evaluating a High-Level Parallel Language (GpH) for Computational GRIDs
Computational Grids potentially offer low cost, readily available, and large-scale high-performance platforms. For the parallel execution of programs, however, computational GRIDs ...
Abdallah Al Zain, Philip W. Trinder, Greg Michaels...