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Parallel computers and parallel computing in scientific simulations

2008
Users are recommended to know more about the computer architectures and to benchmark the machines before falling in love with a particular machine, unless he/she is willing to die for that love. Even the users' participation in the designing phase of the machine is encouraged, in order to make the end product practical in their applications, otherwise ...
openaire   +2 more sources

Fully Sequential Procedures for Large-Scale Ranking-and-Selection Problems in Parallel Computing Environments

Operational Research, 2015
Fully sequential ranking-and-selection (R&S) procedures to find the best from a finite set of simulated alternatives are often designed to be implemented on a single processor.
Jun Luo   +3 more
semanticscholar   +1 more source

A Short Introduction to Parallel Computers and Parallel Computing

1993
This chapter provides a short elementary introduction to parallel computers and parallel computing, and is a prerequisite for a good understanding of the following chapters. We present some architectural multiprocessor characteristics with the emphasis on distributed memory multicomputers.
openaire   +2 more sources

Parallel Computing Enables Whole-Trip Train Dynamics Optimizations

, 2016
Due to the high computing demand of whole-trip train dynamics simulations and the iterative nature of optimizations, whole-trip train dynamics optimizations using sequential computing schemes are practically impossible. This paper reports advancements in
Qing Wu, C. Cole, M. Spiryagin
semanticscholar   +1 more source

Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing

PERV, 2015
In cloud computing jobs consisting of many tasks run in parallel, the tasks on the slowest machines (straggling tasks) become the bottleneck in the completion of the job.
Da Wang, Gauri Joshi, G. Wornell
semanticscholar   +1 more source

Computations in Parallel

1986
I shall try to elaborate in a few examples, the desideratum of having machines which perform simultaneously and independently on many channels simple arithmetic and logical operations. I want to discuss briefly the advantages of such a system compared to the now prevailing computers which do their work in series. I shall content myself, in this chapter,
openaire   +2 more sources

Massively parallel computers: why not parallel computers for the masses?

[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation, 2003
The developments in high-performance computers towards achieving the goal of a teraflops supercomputer that would operate at a peak speed of 10/sup 12/ floating-point operations per second are reviewed. The net result of the quest for parallelism as chronicled by the Gordon Bell Prize is that applications evolved 115% per year and will most likely ...
openaire   +2 more sources

Parallel Computing in Global Optimization

2005
Global optimization problems arise in a wide range of real-world problems. They include applications in operations research, engineering, biological sciences, and computer science. The effective use of parallel machines in global optimization is a very promising area of research since, due to inherent difficulty of problems it studies, only instances ...
M. D'APUZZO   +4 more
openaire   +4 more sources

Parallel computing on personal computers

Proceedings of the 1986 ACM SIGSMALL/PC symposium on Small systems - SIGSMALL '86, 1986
A set of Personal Computers is connected to form a ring-structured parallel system. Each computer has access to its local memory and can communicate with its two neighbours in the ring.This network of asynchronous processors is used to solve in parallel combinatorial optimization problems that are too time- and space-consuming to be handled on a single
openaire   +2 more sources

Molecular imaging in oncology: Current impact and future directions

Ca-A Cancer Journal for Clinicians, 2022
Martin G Pomper, Steven P Rowe
exaly  

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