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About 10,000 papers for “Parallel computing”

Data-parallel computing

Chas. Boyd · 2008

Users always care about performance. Although often it's just a matter of making sure the software is doing only what it should, there are many cases where it is vital to get down to the metal and leverage the fundamental characteristics of the processor.

Cited by 24

Parallel Computing 1988

Parallel Computing 1988 Amsterdam, Zee, Gerrit A. van · Lecture notes in computer science · 1989

Cited by 5

Parallel computing works

California Inst. of Tech., Pasadena, CA (United States) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1991

An account of the Caltech Concurrent Computation Program (C{sup 3}P), a five year project that focused on answering the question: Can parallel computers be used to do large-scale scientific computations '' As the title indicates, the question is answered in the affirmative, by implementing numerous scientific applications on real parallel computers and doing computations that produced new scientific results. In the process of doing so, C{sup 3}P helped design and build several new computers, designed and implemented basic system software, developed algorithms for frequently used mathematical computations on massively parallel machines, devised performance models and measured the performance of many computers, and created a high performance computing facility based exclusively on parallel computers. While the initial focus of C{sup 3}P was the hypercube architecture developed by C. Seitz, many of the methods developed and lessons learned have been applied successfully on other massively parallel architectures.

Cited by 29Open access

Applied Parallel Computing

Hector Zenil Chavez · Oxford University Research Archive (ORA) (University of Oxford) · 2004

Cited by 0

Parallel Computing BY

Lesley Bissland · 1996

A copy can be downloaded for personal non-commercial research or study, without prior permission or charge This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the Author The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the Author When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given

Cited by 0

Parallel Computing Techniques

Alnoman Mundher Tayyeh, A.H. Shather, Saja Sumiea Anaz et al. · Advances in systems analysis, software engineering, and high performance computing book series · 2024

Meshless methods are numerical methods for solving partial differential equations. The connectivity relationships between the discretized nodes do not need to be explicitly established. Instead, a collection of nodes is distributed over the problem domain. This represents an advantage when it is necessary to generate a new mesh several times, as in the case of moving structures. However, this advantage has its price, as this class of methods consumes more computing time than methods such as finite element methods. Thus, for more complex problems that require “remesh” such a moving electrical machine models, this work aims to apply parallel programming techniques to accelerate the execution of computational codes that solve mathematical models of electromagnetism based on meshless methods. Programming with threads, in this case open multi-processing, was used to parallelize the most time-consuming parts of the code of an electromagnetic model of an induction machine based on the Element-Free Galerkin meshless method.

Cited by 0

Scientific Parallel Computing

Scott, Larkin Ridgway, Bagheri, Babak, Clark, Terry

What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate many processors to accomplish a single task. From mining genomes to the World Wide Web, from modeling financial markets to global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches alone. Its fundamental role as an enabler of simulations and data analysis continues an advance in a wide range of application areas. Scientific Parallel Computing is the first textbook to integrate all the fundamentals of parallel computing in a single volume while also providing a basis for a deeper understanding of the subject.

Cited by 0

Graph Parallel Computing

Renchang Dai, Guangyi Liu · 2023

When programming power system analysis in parallel, the calculations can be divided into nodal parallel computing and hierarchical parallel computing based on computational dependence. Nodal parallel computing involves performing independent computations for each node, while hierarchical parallelism partitions nodes into different levels based on their computing dependency and performs parallel computations on nodes at the same level. In power system analysis, tasks such as matrix formation, right-hand-side correction vector calculation, and branch power flow calculation can be parallelized using nodal parallelism. On the other hand, tasks like matrix factorization and forward/backward substitution can be parallelized using hierarchical parallelism. To demonstrate hierarchical parallelism in solving linear equations, this chapter presents algorithms and corresponding pseudocode for symbolic factorization, elimination tree build, node partitioning, numerical factorization, and forward/backward substitutions.

Cited by 0

for Parallel Computing

Of A University, Computer Center, Jean Yvon Birrien et al. · 2008

"Thereupon those (blind men) who had been presented with the head answered, 'Sire, an elephant is like a pot'. And those who had observed an ear only replied, 'An elephant is like a winnowing-basket '..... Then they began to quarrel."

Cited by 0

Parallel Computing Technologies

International Conference on Parallel Computing Technologies 2025 Almaty, Malyškin, Viktor Ė. · Lecture notes in computer science · 2025

Cited by 0Open access