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Proceedings of the 1st international workshop on Multicore software engineering, 2008
Many problems require parallel solutions and implementations and how to extract and specify parallelism has been the focus of Research during the last few decades. While there has been a significant progress in terms of (a)automatically deriving implicit parallelism from functional and logic programs, (b) using parallelizing compilers to extract ...
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Many problems require parallel solutions and implementations and how to extract and specify parallelism has been the focus of Research during the last few decades. While there has been a significant progress in terms of (a)automatically deriving implicit parallelism from functional and logic programs, (b) using parallelizing compilers to extract ...
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1985
Abstract : This project concerns the design and analysis of algorithms to be run in a processor-rich environment. We focus primarily on algorithms that require no global control and that can be run on systems with only local connections among processors. We investigate the properties of these algorithms both theoretically and experimentally.
Dianne P. O'Leary, G. W. Stewart
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Abstract : This project concerns the design and analysis of algorithms to be run in a processor-rich environment. We focus primarily on algorithms that require no global control and that can be run on systems with only local connections among processors. We investigate the properties of these algorithms both theoretically and experimentally.
Dianne P. O'Leary, G. W. Stewart
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Optimization with Parallel Computing
2001Complexity Engineering deals with harnessing the power of Cellular Automata (CA) like simple models to solve real life difficult and complex engineering problems, dealing with systems that have very simple components that collectively exhibit complex behaviors.
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Parallel Computing with Mathematica
2001The MathLink communication protocol can be used to control several Mathematica kernel processes from within Mathematica. This feature allows the implementation of an environment for parallel programming, the Parallel Computing Toolkit, using processes with distributed memory. The toolkit is written completely in Mathematica in a machine-independent way,
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Recent Developments in Parallel and Distributed Computing for Remotely Sensed Big Data Processing
Proceedings of the IEEE, 2021Wei Zhihui, Zebin Wu
exaly
Parallel Computer Architectures
1992Publisher Summary The term “parallel processing” designates the simultaneous execution of multiple processors to solve a single computational problem cooperatively. Parallel processing has the potential for making difficult computational problems tractable by significantly increasing computer performance. Two basic kinds of computational problems are
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Speeding Up Paulson’s Procedure for Large-Scale Problems Using Parallel Computing
INFORMS Journal on Computing, 2022Jun Luo, Shaoxuan Liu, Ying ZHONG
exaly