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Parallel computing

Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been…

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Background

Granularity

Hardware

Software

Algorithmic methods

Fault tolerance

History

Biological brain as massively parallel computer

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Parallel computing

Nodes298
Edges297
Triples88
Avg. degree1.99
Density0.006711
Components1

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Parallel computing

Top relations

has method · 23
Parallel computing → As, Barnes, Bayesian, Common, Constraint, Cooley, CSPs, Data, Dense, Dynamic, Fields, Fourier, Graph, HBJ, Hut, Lattice Boltzmann, Markov, Monte Carlo, N-body, Particle
related to Further reading · 15
Parallel computing → Asynchronous, August, Baran, BIMNICS, Bio-Inspired Models, Boolean Satisfiability, Computing Systems, GIM International, Information, Network, Photogrammetry, Rodriguez, S2CID, Sechin, Villagra
related to Automatic parallelization · 11
Parallel computing → Automatic, Despite, FPGAs, Mainstream, Mitrion-C, Parallel Haskell, SequenceL, SISAL, SystemC, Verilog, VHDL
related to background · 8
Parallel computing → Historically, Only, Parallel, The, These, This, To, Traditionally
related to External links · 6
Parallel computing → Archive, Building Parallel Programs, Ian FosterInternet Parallel Computing, Introduction, Lawrence Livermore National Laboratory, Parallel ComputingDesigning
related to Fault tolerance · 4
Parallel computing → Although, Parallel, These, This
related to Disadvantages · 3
Parallel computing → Parallel, Specifically, Therefore
is a · 1
Parallel computing → type of computation in which many calculations or processes are carried out simultaneously

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Important terminology

parallel computer computing parallelism processors program memory processor processing one multiple computers use distributed data threads programming instructions known system

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Parallel computingis atype of computation in which many calculations or processes are carried out simultaneously0.90text
a single computer with multiple processorsinstance ofThe processing elements can be diverse and include resources0.80text
several networked computersinstance ofThe processing elements can be diverse and include resources0.80text
specialized hardwareinstance ofThe processing elements can be diverse and include resources0.80text
or any combination of the aboveinstance ofThe processing elements can be diverse and include resources0.80text
data persistenceinstance ofprimarily focusing on computational aspect and ignoring extrinsic factors0.80text
I/O operationsinstance ofprimarily focusing on computational aspect and ignoring extrinsic factors0.80text
and memory access overheads.Gustafson's lawinstance ofprimarily focusing on computational aspect and ignoring extrinsic factors0.80text
Universal Scalability Law give a more realistic assessment of the parallel performance.DependenciesUnderstanding data dependencies is fundamental in implementing parallel algorithmsinstance ofprimarily focusing on computational aspect and ignoring extrinsic factors0.80text
Universal Scalability Law give a more realistic assessment of the parallel performanceinstance ofprimarily focusing on computational aspect and ignoring extrinsic factors0.80text
PGASinstance ofdistributed shared memory space can be implemented using the programming model0.80text
Cerberusinstance ofutilized by protocols0.80text

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