Download or read book An Empirical Comparison of Loop Scheduling Algorithms on a Shared Memory Multiprocessor written by Matthias A. Blumrich and published by . This book was released on 1992 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This paper studies several methods of instruction level parallelization applied at the statement level on a shared memory multiprocessor, and reports the results of an empirical evaluation to determine which of the methods yields the best results. Using sequential code as a base case, we compared doacross, list scheduling, greedy software pipelining (a variant of perfect pipelining), and top down scheduling. The experiments were performed on loops both with and without loop carried dependencies. We find that statement level parallelism does yield speedups on the shared memory multiprocessor. In addition, we observed an interesting superlinearity effect for fully vectorized loops."

Download or read book Empirical Comparison of Loop Scheduling Algorithm on a Shared Memory Multiprocessor written by Princeton University. Department of Computer Science and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Evaluation of Loop Scheduling Algorithms on Distributed Memory Systems written by Teebu Philip and published by . This book was released on 1996 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Loops are the largest source of parallelism in many applications. All prior DOALL loop scheduling algorithms such as Self- Scheduling, Guided Self-Scheduling, Trapezoid Self-Scheduling, and Factoring try to achieve workload balance through decreasing chunk sizes. Moreover, they have been analyzed only for shared memory platforms. In this work, the prior loop scheduling methods will be evlauated on two distributed memory machines using realistic workloads from the NAS Parallel benchmark suite and Livermore Loop Series. The distributed memory platforms are: a 16 node IBM SP2 and a 16-node nCUBE 2. The experimental results show that these decreasing chunk size methods tend to increase the communication time in distributed memory models by assigning more chunks. In view of these results, two new schemes, called Fixed Increase and Variable Increase, are introduced. Contrary to the earlier techniques, these schemes increase the chunk sizes in order to minimize the scheduling overhead by reducing interprocessor communication. The new algorithms can be implemented by parallel compilers and are scalable over large numbers of processors and iterations. Extensive measurements on both the machines indicate that the increasing chunk size methods can provide better performance than the existing algorithms for almost all workload patterns."

Download or read book Using Processor Affinity in Loop Scheduling on Shared memory Multiprocessors written by University of Rochester. Dept. of Computer Science and published by . This book was released on 1992 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Scheduling Algorithms and Their Performance on Shared Memory Multiprocessors written by and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Simulation Study of Shared memory Multiprocessor CPU Scheduling Algorithms written by Stephen W.* Curran and published by . This book was released on 1989 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Using Memory or Cache Affinity in Loop Scheduling on Shared Memory Multiprocessors written by Evangelos P. Markatos and published by . This book was released on 1992 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings -- Technical Reports.

Download or read book An Adaptive Scheduling Algorithm and Its Variations for Parallel Loops in Shared memory Systems written by Canming Jin and published by . This book was released on 1996 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Interaction of Cache Block Size and Parallel Loop Scheduling Strategy written by David J. Lilja and published by . This book was released on 1990 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using trace-driven simulations, we compare the memory performance of different cache block sizes in a shared memory multiprocessor with a multistage interconnection network when the parallel loop iterations are scheduled on to the processors using static scheduling, dynamic scheduling, and guided self-scheduling. These results suggest that it is possible to exploit the advantages of large cache blocks in shared memory multiprocessors by blocking the loops so that several consecutive iterations are executed on one processor."

Download or read book Organisations Edikt written by and published by . This book was released on 1803 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the ISMM International Conference Parallel and Distributed Computing and Systems written by R. Melhem and published by International Society for Mini and Microcomputers. This book was released on 1992 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Shared Memory Parallelism Can Be Simple Fast and Scalable written by Julian Shun and published by ACM Books. This book was released on 2017 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book International Aerospace Abstracts written by and published by . This book was released on 1990 with total page 1068 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Textile Technology Digest written by and published by . This book was released on 1997 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book IEEE Proceedings of the Southeastcon written by and published by . This book was released on 1993 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Partitioning and Scheduling Parallel Programs for Multiprocessors written by Vivek Sarkar and published by Pitman Publishing. This book was released on 1989 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Art of Multiprocessor Programming Revised Reprint written by Maurice Herlihy and published by Elsevier. This book was released on 2012-06-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. Students and professionals alike will benefit from thorough coverage of key multiprocessor programming issues. - This revised edition incorporates much-demanded updates throughout the book, based on feedback and corrections reported from classrooms since 2008 - Learn the fundamentals of programming multiple threads accessing shared memory - Explore mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques from simple locks to transactional memory systems - Visit the companion site and download source code, example Java programs, and materials to support and enhance the learning experience