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Identification And Optimization Of Sharing Patterns For Scalable Shared Memory Multiprocessors Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Identification And Optimization Of Sharing Patterns For Scalable Shared Memory Multiprocessors book. This book definitely worth reading, it is an incredibly well-written.
Author : Stefanos Kaxiras
Publisher : Unknown
Page : 516 pages
File Size : 55,8 Mb
Release : 1998
Category : Electronic
ISBN : WISC:89063827810
Author : Stavros D Nikolopoulos,Dimitrios I Fotiadis
Publisher : World Scientific
Page : 357 pages
File Size : 52,7 Mb
Release : 2000-03-29
Category : Computers
ISBN : 9789814493765
This volume addresses the state-of-the-art and future directions of informatics. Several senior researchers and graduate students present their research and work here. The purpose of the book is to disseminate the latest scientific, engineering and technical information in various fields of informatics. It covers a wide range of subjects, from theoretical computer science, software engineering, systems and scientific computing to networking and applied research. The book can be used either as a reference for related scientific work or as educational material for advanced computer science courses.
Author : Anonim
Publisher : Unknown
Page : 946 pages
File Size : 45,8 Mb
Release : 2008
Category : Dissertations, Academic
ISBN : STANFORD:36105131549649
Author : Michel Dubois,Shreekant S. Thakkar
Publisher : Springer Science & Business Media
Page : 326 pages
File Size : 45,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461536048
The workshop on Scalable Shared Memory Multiprocessors took place on May 26 and 27 1990 at the Stouffer Madison Hotel in Seattle, Washington as a prelude to the 1990 International Symposium on Computer Architecture. About 100 participants listened for two days to the presentations of 22 invited The motivation for this workshop was to speakers, from academia and industry. promote the free exchange of ideas among researchers working on shared-memory multiprocessor architectures. There was ample opportunity to argue with speakers, and certainly participants did not refrain a bit from doing so. Clearly, the problem of scalability in shared-memory multiprocessors is still a wide-open question. We were even unable to agree on a definition of "scalability". Authors had more than six months to prepare their manuscript, and therefore the papers included in this proceedings are refinements of the speakers' presentations, based on the criticisms received at the workshop. As a result, 17 authors contributed to these proceedings. We wish to thank them for their diligence and care. The contributions in these proceedings can be partitioned into four categories 1. Access Order and Synchronization 2. Performance 3. Cache Protocols and Architectures 4. Distributed Shared Memory Particular topics on which new ideas and results are presented in these proceedings include: efficient schemes for combining networks, formal specification of shared memory models, correctness of trace-driven simulations,synchronization, various coherence protocols, .
Author : Alain Kägi
Publisher : Unknown
Page : 452 pages
File Size : 53,7 Mb
Release : 1999
Category : Electronic
ISBN : WISC:89070550736
Author : Andreas Ionnis Moshovos
Publisher : Unknown
Page : 696 pages
File Size : 52,9 Mb
Release : 1998
Category : Electronic
ISBN : WISC:89063835466
Author : Anonim
Publisher : Unknown
Page : 380 pages
File Size : 47,7 Mb
Release : 2003
Category : Digital computer simulation
ISBN : UOM:39015047948057
Author : Anonim
Publisher : Unknown
Page : 784 pages
File Size : 44,7 Mb
Release : 1998
Category : Dissertation abstracts
ISBN : UOM:39015086908186
Author : Lu Qin,Wenjie Zhang,Ying Zhang,You Peng,Hiroyuki Kato,Wei Wang,Chuan Xiao
Publisher : Springer Nature
Page : 203 pages
File Size : 42,9 Mb
Release : 2020-11-05
Category : Computers
ISBN : 9783030611330
This book constitutes refereed proceedings of the 4th International Workshop on Software Foundations for Data Interoperability, SFDI 2020, and 2nd International Workshop on Large Scale Graph Data Analytics, LSGDA 2020, held in Conjunction with VLDB 2020, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 full papers and 4 short papers were thoroughly reviewed and selected from 38 submissions. The volme presents original research and application papers on the development of novel graph analytics models, scalable graph analytics techniques and systems, data integration, and data exchange.
Author : Anonim
Publisher : Unknown
Page : 996 pages
File Size : 47,6 Mb
Release : 1990
Category : Aeronautics
ISBN : UIUC:30112075701653
Author : Anonim
Publisher : Unknown
Page : 530 pages
File Size : 44,5 Mb
Release : 1999
Category : Supercomputers
ISBN : STANFORD:36105018873070
Author : Anonim
Publisher : Unknown
Page : 476 pages
File Size : 50,6 Mb
Release : 1995
Category : Computer science
ISBN : CORNELL:31924077681264
Author : Daniel E. Lenoski,Wolf-Dietrich Weber
Publisher : Morgan Kaufmann
Page : 374 pages
File Size : 42,7 Mb
Release : 1995-06
Category : Computers
ISBN : UOM:39015034426208
Beginning with a discussion of the fundamentals of scalable multiprocessors and the characteristics of large-scale parallel programs, the book then presents an in-depth presentation of the hardware design issues for this class of machine, and a survey of existing and proposed scalable shared-memory systems.
Author : Julian Shun
Publisher : Morgan & Claypool
Page : 443 pages
File Size : 55,6 Mb
Release : 2017-06-01
Category : Computers
ISBN : 9781970001907
Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2–5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.
Author : Sanguthevar Rajasekaran,John Reif
Publisher : CRC Press
Page : 1224 pages
File Size : 49,5 Mb
Release : 2007-12-20
Category : Computers
ISBN : 9781420011296
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a