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Author: Vivek Sarkar Publisher: Pitman Publishing ISBN: Category : Computers Languages : en Pages : 232
Book Description
This book is one of the first to address the problem of forming useful parallelism from potential parallelism and to provide a general solution. The book presents two approaches to automatic partitioning and scheduling so that the same parallel program can be made to execute efficiently on widely different multiprocessors. The first approach is based on a macro dataflow model in which the program is partitioned into tasks at compile time and the tasks are scheduled on processors at run time. The second approach is based on a compile time scheduling model, where both the partitioning and scheduling are performed at compile time. Both approaches have been implemented in partition programs written in the single assignment language SISAL. The inputs to the partitioning and scheduling algorithms are a graphical representation of the parallel program and a list of parameters describing the target multiprocessor. Execution profile information is used to derive compile-time estimates of execution times and data sizes in the program. Both the macro dataflow and compile-time scheduling problems are expressed as optimization problems and are shown to be NP complete in the strong sense. Efficient approximation algorithms for these problems are presented. Finally, the effectiveness of the partitioning and scheduling algorithms is studied by multiprocessor simulations of various SISAL benchmark programs for different target multiprocessor parameters. Vivek Sarkar is a Member of Research Staff at the IBM T. J. Watson Research Center. Partitioning and Scheduling Parallel Programs for Multiprocessing is included in the series Research Monographs in Parallel and Distributed Computing. Copublished with Pitman Publishing.
Author: Vivek Sarkar Publisher: Pitman Publishing ISBN: Category : Computers Languages : en Pages : 232
Book Description
This book is one of the first to address the problem of forming useful parallelism from potential parallelism and to provide a general solution. The book presents two approaches to automatic partitioning and scheduling so that the same parallel program can be made to execute efficiently on widely different multiprocessors. The first approach is based on a macro dataflow model in which the program is partitioned into tasks at compile time and the tasks are scheduled on processors at run time. The second approach is based on a compile time scheduling model, where both the partitioning and scheduling are performed at compile time. Both approaches have been implemented in partition programs written in the single assignment language SISAL. The inputs to the partitioning and scheduling algorithms are a graphical representation of the parallel program and a list of parameters describing the target multiprocessor. Execution profile information is used to derive compile-time estimates of execution times and data sizes in the program. Both the macro dataflow and compile-time scheduling problems are expressed as optimization problems and are shown to be NP complete in the strong sense. Efficient approximation algorithms for these problems are presented. Finally, the effectiveness of the partitioning and scheduling algorithms is studied by multiprocessor simulations of various SISAL benchmark programs for different target multiprocessor parameters. Vivek Sarkar is a Member of Research Staff at the IBM T. J. Watson Research Center. Partitioning and Scheduling Parallel Programs for Multiprocessing is included in the series Research Monographs in Parallel and Distributed Computing. Copublished with Pitman Publishing.
Author: Vivek Sarkar Publisher: ISBN: Category : Languages : en Pages : 11
Book Description
Partitioning and scheduling techniques are necessary to implement parallel languages on multiprocessors. Multiprocessor performance is maximized when parallelism between tasks is optimally traded off with communication and synchronization overhead. The authors present compile-time partitioning and scheduling techniques to achieve this tradeoff. One of the biggest challenges facing compiler writers is to efficiently implement programming languages on multiprocessors. We need to find compilation techniques for general-purpose parallel languages; these techniques should be adaptable to a wide range of multiprocessor architectures. There are three fundamental problems to be solved when compiling a program for parallel execution on a multiprocessor: 1) Identifying potential parallelism; 2) Partitioning the program into sequential tasks; and 3) Scheduling the concurrent execution of these tasks. This document addresses the latter two problems and suggest that these be solved at compile- time instead of run-time for applications with fairly predictable execution times.
Author: Peter Fritzson Publisher: IOS Press ISBN: 9789051992298 Category : Computers Languages : en Pages : 450
Book Description
ZEUS (Centres of European Supercomputing) is a network for information exchange and co-operation between European Supercomputer Centres. During the fall of 1994 the idea was put forward to start an annual workshop to stimulate the exchange of ideas and experience in parallel programming and computing between researchers and users from industry and academia. The first workshop in this series, the ZEUS '95 Workshop on Parallel Programming and Computation, is organized at Linkoping University, where the Swedish ZEUS centre, NSC (National Supercomputer Centre) is located. This is open for all researchers and users in the field of parallel computing.
Author: Vivek Sarkar Publisher: ISBN: Category : Languages : en Pages : 13
Book Description
One of the biggest challenges facing language designers and implementors is to develop languages that will be suitable for use on multiprocessors. A wide variety of multiprocessor architectures are currently being built and that variety is expected to increase. Very little software is available to exploit parallelism and speed-up the execution of individual programs. What little work has been done, has focused largely on special-purpose parallelism (e.g. vectorization) or very limited classes of architectures. To understand the issues involved in taking advantage of parallelism and to evaluate architectures, we need to find compilation techniques for fairly general-purpose languages; these techniques need to be adapted to a wide variety of architectures. Only then will it be possible to compare various languages, alternative architectures, and their interaction with different applications. To compile and execute a program in a parallel fashion on a multiprocessor, there are three fundamental problems to be solved: 1) Identification of potential parallelism - discovering parallel computations in the program. 2) Partitioning the program into tasks - each task represents a serially-executed component that can execute in parallel with other tasks. 3) Scheduling the execution of tasks - the tasks must be scheduled for execution on multiple processors.
Author: Minyi Guo Publisher: Springer Science & Business Media ISBN: 3540405232 Category : Business & Economics Languages : en Pages : 462
Book Description
The refereed proceedings of the International Symposium on Parallel and Distributed Processing and Applications, ISPA 2003, held in Aizu, Japan in July 2003. The 30 revised full papers and 9 revised short papers presented together with abstracts of 4 keynotes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on applications on Web-based and intranet systems, compiler and optimization techniques, network routing, performance evaluation of parallel systems, wireless communication and mobile computing, parallel topology, data mining and evolutionary computing, image processing and modeling, network security, and database and multimedia systems.
Author: Maciej Drozdowski Publisher: Springer Science & Business Media ISBN: 184882310X Category : Computers Languages : en Pages : 395
Book Description
Overview and Goals This book is dedicated to scheduling for parallel processing. Presenting a research ?eld as broad as this one poses considerable dif?culties. Scheduling for parallel computing is an interdisciplinary subject joining many ?elds of science and te- nology. Thus, to understand the scheduling problems and the methods of solving them it is necessary to know the limitations in related areas. Another dif?culty is that the subject of scheduling parallel computations is immense. Even simple search in bibliographical databases reveals thousands of publications on this topic. The - versity in understanding scheduling problems is so great that it seems impossible to juxtapose them in one scheduling taxonomy. Therefore, most of the papers on scheduling for parallel processing refer to one scheduling problem resulting from one way of perceiving the reality. Only a few publications attempt to arrange this ?eld of knowledge systematically. In this book we will follow two guidelines. One guideline is a distinction - tween scheduling models which comprise a set of scheduling problems solved by dedicated algorithms. Thus, the aim of this book is to present scheduling models for parallel processing, problems de?ned on the grounds of certain scheduling models, and algorithms solving the scheduling problems. Most of the scheduling problems are combinatorial in nature. Therefore, the second guideline is the methodology of computational complexity theory. Inthisbookwepresentfourexamplesofschedulingmodels. Wewillgodeepinto the models, problems, and algorithms so that after acquiring some understanding of them we will attempt to draw conclusions on their mutual relationships.
Author: Vivek Sarkar
Author: Vivek Sarkar
Author: Vivek Sarkar
Author: Vivek Sarkar
Author: Vivek Sarkar
Author: Peter Fritzson
Author: Vivek Sarkar
Author: Gururaj Pangal
Author: Minyi Guo
Author: Maciej Drozdowski
Author: Zhonghua Li