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CLOUDCOM
2010
Springer
15 years 4 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
IPPS
2010
IEEE
15 years 4 months ago
Overlapping computation and communication: Barrier algorithms and ConnectX-2 CORE-Direct capabilities
Abstract--This paper explores the computation and communication overlap capabilities enabled by the new CORE-Direct hardware capabilities introduced in the InfiniBand (IB) Host Cha...
Richard L. Graham, Stephen W. Poole, Pavel Shamis,...
PPOPP
2011
ACM
14 years 9 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...
ICPP
2008
IEEE
16 years 1 months ago
On the Design of Fast Pseudo-Random Number Generators for the Cell Broadband Engine and an Application to Risk Analysis
Numerical simulations in computational physics, biology, and finance, often require the use of high quality and efficient parallel random number generators. We design and optimi...
David A. Bader, Aparna Chandramowlishwaran, Virat ...
IPPS
2005
IEEE
16 years 11 days ago
Stream PRAM
Parallel random access memory, or PRAM, is a now venerable model of parallel computation that that still retains its usefulness for the design and analysis of parallel algorithms....
Darrell R. Ulm, Michael Scherger