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Some of the next articles are maybe not open access.

Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array

Nature Nanotechnology, 2021
The growth of connected intelligent devices in the Internet of Things has created a pressing need for real-time processing and understanding of large volumes of analogue data.
Cong Wang   +12 more
semanticscholar   +1 more source

Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments

Operational Research, 2021
On one hand, large-scale ranking and selection (R&S) problems require a large amount of computation. On the other hand, parallel computing environments that provide a large capacity for computation are becoming prevalent today, and they are accessible by
Ying Zhong, L. Hong
semanticscholar   +1 more source

Parallel Matrix Computations. [PDF]

open access: possible, 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
openaire   +1 more source

Parallel Computing of Support Vector Machines

ACM Computing Surveys, 2019
The 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
semanticscholar   +1 more source

Distributed Cloud Computing and Distributed Parallel Computing: A Review

2018 International Conference on Advanced Science and Engineering (ICOASE), 2018
In 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
semanticscholar   +1 more source

Massively parallel probabilistic computing with sparse Ising machines

Nature Electronics, 2021
Solving 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
semanticscholar   +1 more source

Horizons of parallel computation

Journal of Parallel and Distributed Computing, 1995
This 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
openaire   +3 more sources

Parallelism in Matrix Computations

2016
This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations. It assumes general but not extensive knowledge of numerical linear algebra, parallel architectures, and parallel programming paradigms.
Philippe, Bernard   +2 more
openaire   +3 more sources

Parallel Scientific Computing

2015
Scientific computing has become an indispensable tool in numerous fields, such as physics, mechanics, biology,finance and industry. For example, it enables us, thanks to efficient algorithms adapted to current computers, tosimulate, without the help of models or experimentations, the deflection of beams in bending, the sound level in a theater room or ...
Magoules, F., Roux, F.-X., Houzeaux, G.
openaire   +4 more sources

Parallel Scientific Computation

Science, 1993
Massively parallel computers offer scientists a new tool for computation, with capabilities and limitations that are substantially different from those of traditional serial computers. Most categories of large-scale scientific computations have proven remarkably amenable to parallel computation, but often the algorithms involved are different from ...
W. Daniel Hillis, Bruce M. Boghosian
openaire   +3 more sources

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