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Using Memory Or Cache Affinity In Loop Scheduling On Shared Memory Multiprocessors
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Book Synopsis Using Memory (or Cache) Affinity in Loop Scheduling on Shared- Memory Multiprocessors by : Evangelos P. Markatos
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.
Book Synopsis Using Processor Affinity in Loop Scheduling on Shared-memory Multiprocessors by : University of Rochester. Dept. of Computer Science
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:
Book Synopsis Evaluating the Benefits of Cache-affinity Scheduling in Shared-memory Multiprocessors by : Josep Torrellas
Download or read book Evaluating the Benefits of Cache-affinity Scheduling in Shared-memory Multiprocessors written by Josep Torrellas and published by . This book was released on 1992 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Using Processor-cache Affinity Information in Shared-memory Multiprocessor Scheduling by : Mark S. Squillante
Download or read book Using Processor-cache Affinity Information in Shared-memory Multiprocessor Scheduling written by Mark S. Squillante and published by . This book was released on 1990 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Interaction of Cache Block Size and Parallel Loop Scheduling Strategy by : David J. Lilja
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."
Book Synopsis The Implications of Cache Affinity on Processor Scheduling for Multiprogrammed, Shared Memory Multiprocessors by : Raj Vaswani
Download or read book The Implications of Cache Affinity on Processor Scheduling for Multiprogrammed, Shared Memory Multiprocessors written by Raj Vaswani and published by . This book was released on 1991 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "In a shared memory multiprocessor with caches, executing tasks develop 'affinity' to processors by filling their caches with data and instructions during their computation. A policy that schedules processors without considering this affinity may waste processing power by causing excessive amounts of cache refilling. Our work focuses on quantifying the effect of processor reallocation on the performance of parallel applications multiprogrammed on a shared memory multiprocessor, and on evaluating how the magnitude of this cost affects the appropriate choice of processor allocation policy. We first identify the components of application response time, including processor reallocation costs
Book Synopsis An Empirical Comparison of Loop Scheduling Algorithms on a Shared Memory Multiprocessor by : Matthias A. Blumrich
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."
Book Synopsis Empirical Comparison of Loop Scheduling Algorithm on a Shared Memory Multiprocessor by : Princeton University. Department of Computer Science
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:
Book Synopsis The Data Parallel Programming Model by : Guy-Rene Perrin
Download or read book The Data Parallel Programming Model written by Guy-Rene Perrin and published by Springer Science & Business Media. This book was released on 1996-09-11 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph-like book assembles the thorougly revised and cross-reviewed lectures given at the School on Data Parallelism, held in Les Menuires, France, in May 1996. The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.
Book Synopsis Languages and Compilers for Parallel Computing by : James Brodman
Download or read book Languages and Compilers for Parallel Computing written by James Brodman and published by Springer. This book was released on 2015-04-30 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2014, held in Hillsboro, OR, USA, in September 2014. The 25 revised full papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on accelerator programming; algorithms for parallelism; compilers; debugging; vectorization.
Book Synopsis High Performance Computing by : Carlos Jaime Barrios Hernández
Download or read book High Performance Computing written by Carlos Jaime Barrios Hernández and published by Springer. This book was released on 2017-04-28 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third Latin American Conference on High Performance Computing, CARLA 2016, held in Mexico City, Mexico, in August/September 2016. The 30 papers presented in this volume were carefully reviewed and selected from 70 submissions. They are organized in topical sections named: HPC Infrastructure and Applications; Parallel Algorithms and Applications; HPC Applications and Simulations.
Book Synopsis Program Transformations for Cache Locality Enhancement on Shared-memory Multiprocessors by : Naraig Manjikian
Download or read book Program Transformations for Cache Locality Enhancement on Shared-memory Multiprocessors written by Naraig Manjikian and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation proposes and evaluates compiler techniques that enhance cache locality and consequently improve the performance of parallel applications on shared-memory multiprocessors. These techniques target applications with loop-level parallelism that can be detected and exploited automatically by a compiler. Novel program transformations are combined with appropriate loop scheduling in order to exploit data reuse while maintaining parallelism and avoiding cache conflicts. First, this dissertation proposes the shift-and-peel transformation for enabling loop fusion and exploiting reuse across parallel loops. The shift-and-peel transformation overcomes dependence limitations that have previously prevented loops from being fused legally, or prevented legally-fused loops from being parallelized. Therefore, this transformation exploits all reuse across loops without loss of parallelism. Second, this dissertation describes and evaluates adaptations of static loop scheduling strategies to exploit wavefront parallelism while ensuring locality in tiled loops. Wavefront parallelism results when tiling is enabled by combining the shift-and-peel transformation with loop skewing. Proper scheduling exploits both intratile and intertile data reuse when independent tiles are executed in parallel on a large number of processors. Third, this dissertation proposes cache partitioning for preventing cache conflicts between data from different arrays, especially when exploiting reuse across loops. Specifically, cache partitioning prevents frequently-recurring conflicts in loops with compatible data access patterns. Cache partitioning transforms the data layout such that there are no conflicts for reused data from different arrays during loop execution. An analytical model is also presented to assess the potential benefit of locality enhancement. This model estimates the expected reduction in execution time by parameterizing the reduction in the number of memory accesses with locality enhancement and the contribution of memory accesses towards execution time. Experimental results show that the proposed techniques improve parallel performance by 20%-60% for representative applications on contemporary multiprocessors. The results also show that significant improvements are obtained in conjunction with other performance-enhancing techniques such as prefetching. The importance of the techniques described in this dissertation will continue to increase as processor performance continues to increase more rapidly than memory performance.
Book Synopsis Adaptive and Integrated Data Cache Prefetching for Shared-memory Multiprocessors by : Edward H. Gornish
Download or read book Adaptive and Integrated Data Cache Prefetching for Shared-memory Multiprocessors written by Edward H. Gornish and published by . This book was released on 1995 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the 1993 International Conference on Parallel Processing by : Alok N. Choudhary
Download or read book Proceedings of the 1993 International Conference on Parallel Processing written by Alok N. Choudhary and published by CRC Press. This book was released on 1993-08-16 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume work presents a compendium of current and seminal papers on parallel/distributed processing offered at the 22nd International Conference on Parallel Processing, held August 16-20, 1993 in Chicago, Illinois. Topics include processor architectures; mapping algorithms to parallel systems, performance evaluations; fault diagnosis, recovery, and tolerance; cube networks; portable software; synchronization; compilers; hypercube computing; and image processing and graphics. Computer professionals in parallel processing, distributed systems, and software engineering will find this book essential to their complete computer reference library.
Book Synopsis Efficient Scheduling on Multiprogrammed Shared-memory Multiprocessors by : Andrew Tucker
Download or read book Efficient Scheduling on Multiprogrammed Shared-memory Multiprocessors written by Andrew Tucker and published by . This book was released on 1993 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis explores using more sophisticated scheduling systems to avoid these problems. Robust implementations of previously proposed approaches involving cache affinity scheduling and gang scheduling are developed and evaluated. It then presents the design, implementation, and performance of process control, a novel scheduling approach using explicit cooperation between the application and kernel to minimize context switching. Performance results from a suite of workloads containing both serial and parallel applications, run on a 4-processor Silicon Graphics workstation, confirm the effectiveness of the process control approach.
Book Synopsis Job Scheduling Strategies for Parallel Processing by : Dror G. Feitelson
Download or read book Job Scheduling Strategies for Parallel Processing written by Dror G. Feitelson and published by Springer Science & Business Media. This book was released on 1995-07-19 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers selected after a very careful refereeing process for presentation during the Workshop on Job Scheduling Stategies for Parallel Processing, held in Santa Barbara, California, as a prelude to the IPPS '95 conference in April 1995. The 19 full papers presented demonstrate that parallel job scheduling takes on a crucial role as multi-user parallel supercomputers become more widespread. All aspects of job scheduling for parallel systems are covered, from the perspectives of academic research, industrial design of parallel systems, as well as user needs. Of particular interest, also for nonexpert readers, is the introductory paper "Parallel Job Scheduling: Issues and Approaches" by the volume editors.
Book Synopsis Applied Parallel Computing. New Paradigms for HPC in Industry and Academia by : Tor Sorevik
Download or read book Applied Parallel Computing. New Paradigms for HPC in Industry and Academia written by Tor Sorevik and published by Springer. This book was released on 2003-06-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume were presented at PARA 2000, the Fifth International Workshop on Applied Parallel Computing. PARA 2000 was held in Bergen, Norway, June 18-21, 2000. The workshop was organized by Parallab and the Department of Informatics at the University of Bergen. The general theme for PARA 2000 was New paradigms for HPC in industry and academia focusing on: { High-performance computing applications in academia and industry, { The use of Java in high-performance computing, { Grid and Meta computing, { Directions in high-performance computing and networking, { Education in Computational Science. The workshop included 9 invited presentations and 39 contributed pres- tations. The PARA 2000 meeting began with a one-day tutorial on OpenMP programming led by Timothy Mattson. This was followed by a three-day wor- hop. The rst three PARA workshops were held at the Technical University of Denmark (DTU), Lyngby (1994, 1995, and 1996). Following PARA’96, an - ternational steering committee for the PARA meetings was appointed and the committee decided that a workshop should take place every second year in one of the Nordic countries. The 1998 workshop was held at Ume a University, Sweden. One important aim of these workshops is to strengthen the ties between HPC centers, academia, and industry in the Nordic countries as well as worldwide. The University of Bergen organized the 2000 workshop and the next workshop in the year 2002 will take place at the Helsinki University of Technology, Espoo, Finland.
