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, 2016 The runjags package provides a set of interface functions to facilitate running Markov chain Monte Carlo models in JAGS from within R. Automated calculation of appropriate convergence and sample length diagnostics, user-friendly access to commonly used ...
M. Denwood
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Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System [PDF]
IEEE Transactions on Parallel and Distributed Systems, 2020 Taskflow aims to streamline the building of parallel and heterogeneous applications using a lightweight task graph-based approach. Taskflow introduces an expressive task graph programming model to assist developers in the implementation of parallel and ...
Tsung-Wei Huang +3 more
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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTParallel computing is a computational technique in which two or more tasks or instructions can be processed concurrently by means of several processors resulting into enhanced computational efficiency as well as decreased time for solving complex ...
Mrs. Anush Sharma
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Manycore Parallel Computing for a Hybridizable Discontinuous Galerkin Nested Multigrid Method
SIAM Journal on Scientific Computing, 2019 We present a parallel computing strategy for a hybridizable discontinuous Galerkin (HDG) nested geometric multigrid (GMG) solver.
M. Fabien +3 more
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International Journal of Reconfigurable Computing, 2015 FPGAs are known to permit huge gains in performance and efficiency for suitable applications but still require reduced design efforts and shorter development cycles for wider adoption.
Tobias Kenter +2 more
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Randomized parallel computation [PDF]
, 1987 The subject of this thesis is randomized parallel algorithms. The goal is to demonstrate the power of randomization in designing efficient parallel algorithms for various computational problems. The specific problems we are concerned with are: sorting, routing, and combinatorial optimization.
Sanguthevar Rajasekaran, John H. Reif
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Programming Parallel Computers [PDF]
Proceedings. 1988 International Conference on Computer Languages, 1994 This paper is from a keynote address to the IEEE International Conference on Computer Languages, October 9, 1988. Keynote addresses are expected to be provocative (and perhaps even entertaining), but not necessarily scholarly. The reader should be warned that this talk was prepared with these expectations in mind.Parallel computers offer the potential ...
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Parallel Computing Techniques [PDF]
, 2011 Parallel computing means to divide a job into several tasks and use more than one processor simultaneously to perform these tasks. Assume you have developed a new estimation method for the parameters of a complicated statistical model. After you prove the asymptotic characteristics of the method (for instance, asymptotic distribution of the estimator),
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Parallel Sparse Computation Toolkit
Software Impacts, 2023 This paper presents a new software framework for solving large and sparse linear systems on current hybrid architectures, from small servers to high-end supercomputers, embedding multi-core CPUs and Nvidia GPUs at the node level. The framework has a modular structure and is composed of three main components, which separate basic functionalities for ...
D’Ambra, Pasqua +2 more
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Parallel computing in railway research
International Journal of Rail transportation, 2018 Available computing power for researchers has been increasing exponentially over the last decade. Parallel computing is possibly the best way to harness computing power provided by multiple computing units.
Qing Wu +3 more
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