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» Parallel Cost Analysis of Distributed Systems
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135
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PVLDB
2008
182views more  PVLDB 2008»
15 years 8 days ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
97
Voted
IPPS
2010
IEEE
14 years 10 months ago
Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures
This work presents the first extensive study of singlenode performance optimization, tuning, and analysis of the fast multipole method (FMM) on modern multicore systems. We consid...
Aparna Chandramowlishwaran, Samuel Williams, Leoni...
93
Voted
SC
2005
ACM
15 years 6 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
Rong Ge, Xizhou Feng, Kirk W. Cameron
KES
1999
Springer
15 years 5 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
111
Voted
CLUSTER
2009
IEEE
15 years 7 months ago
Integrating software distributed shared memory and message passing programming
Abstract—Software Distributed Shared Memory (SDSM) systems provide programmers with a shared memory programming environment across distributed memory architectures. In contrast t...
H'sien J. Wong, Alistair P. Rendell