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Author Bader, David A. ♦ Tsigas, Philippas
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Abstract The recent switch to multicore processors brought a dramatic change that affects a large spectrum of systems from embedded and general-purpose to high-end computing systems. Parallelism is forcing major changes in software development. The aim of this issue is to discuss the challenges that parallelism brings to the design and implementation of algorithms and data structures. This special issue arose out of discussions held at the Dagstuhl Seminar 10261, on Algorithm Engineering held June 27--July 2, 2010, in Germany, and organized by Giuseppe F. Italiano (Università di Roma “Tor Vergata,” Italy), David S. Johnson (AT&T Research, Florham Park, NJ), Petra Mutzel (Technical University of Dortmund, Germany), and Peter Sanders (Karlsruhe Institute of Technology, Germany). We conceived a special issue of the ACM Journal on Experimental Algorithmics with a call for original submissions that address implementation and performance issues of multicore algorithms and data structures for any multicore processor, for example, Intel Nehalem, Single-Chip Cloud, NVIDIA and AMD GPUs. An experimental study typically includes an implementation, a series of experiments designed to understand the behavior of the algorithm(s) under study, and a critical discussion of the experiments and their results. We welcomed experimental submissions and encouraged authors to include test data from previously published studies to enable critical comparisons. A total of nine submissions were received, and four were accepted for this special issue. All manuscripts had at least three extensive reviews, and most received five to six reviews. We thank all of the authors for their submissions, and especially the 16 reviewers of these manuscripts.
ISSN 10846654
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-10-01
Publisher Place New York
e-ISSN 10846654
Journal Journal of Experimental Algorithmics (JEA)
Volume Number 17
Page Count 1
Starting Page 4.1
Ending Page 4.1

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Source: ACM Digital Library