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Parallel computing for genome sequence processing
Briefings Bioinform., 2021The rapid increase of genome data brought by gene sequencing technologies poses a massive challenge to data processing. To solve the problems caused by enormous data and complex computing requirements, researchers have proposed many methods and tools ...
You Zou +4 more
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Parallel computational geometry [PDF]
Algorithmica, 1985 This paper contributes efficient parallel algorithms for solving some basic geometric problems. ``Efficient'' here means polylogarithmic in parallel time. All the algorithmus presented are algorithms executable in polylog depth on polynomial-size circuits. Such algorithms usually are called NC-algorithms.
Leonidas J. Guibas +4 more
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Parallel Matrix Computations. [PDF]
, 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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Parallel Prefix Computation [PDF]
Journal of the ACM, 1980 Summary: The prefix problem is to compute all the products \(x_1\circ x_2\circ \ldots x_k\) for \(i\leq k\leq n\), where \(\circ\) is an associative operation. A recursive construction is used to obtain a product circuit for solving the prefix problem which has depth exactly \([\log_2n]\) and size bounded by \(4n\).
Richard E. Ladner, Michael J. Fischer
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Horizons of parallel computation
Journal of Parallel and Distributed Computing, 1995This paper considers the ultimate impact of fundamental physical limitations—notably, speed of light and device size—on parallel computing machines. Although we fully expect an innovative and very gradual evolution to the limiting situation, we take here the provocative view of exploring the consequences of the accomplished attainment of the physical ...
Franco P. Preparata, Gianfranco Bilardi
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Massively parallel probabilistic computing with sparse Ising machines
Nature Electronics, 2021Solving computationally hard problems using conventional computing architectures is often slow and energetically inefficient. Quantum computing may help with these challenges, but it is still in the early stages of development.
Navid Anjum Aadit +6 more
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Computing dominators in parallel
Information Processing Letters, 1987zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shaunak Pawagi +2 more
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Parallel Computing of Support Vector Machines
ACM Computing Surveys, 2019The immense amount of data created by digitalization requires parallel computing for machine-learning methods. While there are many parallel implementations for support vector machines (SVMs), there is no clear suggestion for every application scenario ...
Shirin Tavara
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Distributed Cloud Computing and Distributed Parallel Computing: A Review
2018 International Conference on Advanced Science and Engineering (ICOASE), 2018In this paper, we present a discussion panel of two of the hottest topics in this area namely distributed parallel processing and distributed cloud computing. Various aspects have been discussed in this review paper such as concentrating on whether these
Z. Rashid +3 more
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Transform Blockchain into Distributed Parallel Computing Architecture for Precision Medicine
IEEE International Conference on Distributed Computing Systems, 2018This paper provides a vision and proposes mechanisms to transform the blockchain duplicated computing into distributed parallel computing architecture by transforming smart contract which features data driven from the ground up to support moving ...
J. Tsai
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