Download or read book Compiling Parallel Lisp for a Shared Memory Multiprocessor written by National University of Singapore. Dept. of Information Systems and Computer Science and published by . This book was released on 1995 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "There is a commonly held idea that although Lisp is a good language for prototyping and software development, it is often too inefficient to be useful in actual implementation. Advances in compiling Lisp have begun to change this notion. However, the situation is less clear in the case of parallel Lisp dialects. In this paper, we report on our experience in implementing a compiler for a parallel Lisp dialect we called BaLinda Lisp for a shared memory multiprocessor. For a class of problems, our compiler was able to achieve performances on Lisp programs that are near, if not equal to, their imperative (C) equivalents. However, on other problems, the situation is less than ideal. We investigate this phenomenum [sic] and outline the future challenges in realizing a production strength parallel Lisp compiler."
Download or read book A Shared Memory Multiprocessor System and Parallel Compiler written by Mohammed Yaqub and published by . This book was released on 1991 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: MULTIPROCESSOR SYSTEM, SHARED MEMORY, RUN TIME SUPPORT, PARALLEL COMPILER, EXPLICIT PROGRAMMING, SYSTEM SOFTWARE, APPLICATION SOFTWARE, OBJECT RECOGNITION.
Download or read book Scalable Shared Memory Multiprocessors written by Michel Dubois and published by Springer Science & Business Media. This book was released on 1992 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.
Download or read book Parallel Execution of LISP Programs written by Joseph Simon Weening and published by . This book was released on 1989 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation considers several issues in the execution of Lisp programs on shared-memory multiprocessors. An overview of constructs for explicit parallelism in Lisp is first presented. An overview of constructs for explicit parallelism in Lisp is first presented. The problem of partitioning a program into process and scheduling these processes are then described, and a number of methods for performing these are proposed. These include cutting off process creation based on properties of the computation tree of the program, and basing partitioning decisions on the state of the system at runtime instead of the program. An experimental study of these methods has been performed using a simulator for parallel Lisp. This is followed by a description of the experiments that were performed and an analysis of the results. Two programs are used as illustrations-a Fast Fourier Transform, which has an abundance of parallelism, and the Cocke-Younger-Kasami parsing algorithm, for which good speedup is not as easy to obtain. The difficulty of using cutoff-based partitioning methods, and the differences between varios scheduling methods, are shown. A combination of partitioning and scheduling methods which we call dynamic partitioning is analyzed in more detail. This method is based on examining the machine's runtime state; it requires that the programmer only identify parallelism in the program, without deciding which potential parallelism is actually useful. We conclude that for programs whose computation trees have small height relative to their total size, dynamic partitioning can achieve asymptotically minimal overhead in the cost of process creation. (AW).
Download or read book Parallel Symbolic Computing Languages Systems and Applications written by Robert H. Halstead and published by Springer Science & Business Media. This book was released on 1993-11-03 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel and distributed computing are becoming increasingly important as cost-effective ways to achieve high computational performance. Symbolic computations are notable for their use of irregular data structures and hence parallel symbolic computing has its own distinctive set of technical challenges. The papers in this book are based on presentations made at a workshop at MIT in October 1992. They present results in a wide range of areas including: speculative computation, scheduling techniques, program development tools and environments, programming languages and systems, models of concurrency and distribution, parallel computer architecture, and symbolic applications.
Download or read book Parallel Language and Compiler Research in Japan written by Lubomir Bic and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Language and Compiler Research in Japan offers the international community an opportunity to learn in-depth about key Japanese research efforts in the particular software domains of parallel programming and parallelizing compilers. These are important topics that strongly bear on the effectiveness and affordability of high performance computing systems. The chapters of this book convey a comprehensive and current depiction of leading edge research efforts in Japan that focus on parallel software design, development, and optimization that could be obtained only through direct and personal interaction with the researchers themselves.
Download or read book Proceedings of the 1995 International Conference on Parallel Processing written by Constantine Polychronopoulos and published by CRC Press. This book was released on 1995-08-08 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set of technical books contains all the information presented at the 1995 International Conference on Parallel Processing. This conference, held August 14 - 18, featured over 100 lectures from more than 300 contributors, and included three panel sessions and three keynote addresses. The international authorship includes experts from around the globe, from Texas to Tokyo, from Leiden to London. Compiled by faculty at the University of Illinois and sponsored by Penn State University, these Proceedings are a comprehensive look at all that's new in the field of parallel processing.
Download or read book Shared Memory Parallel Programming with Open MP written by Barbara M. Chapman and published by Springer. This book was released on 2005-01-25 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the Proceedings of the 5th Workshop on OpenMP Appli- tionsandTools(WOMPAT2004),whichtookplaceattheUniversityofHouston, Houston, Texas on May 17 and 18, 2004. Previous workshops in this series took place in Toronto, Canada, Fairbanks, Alaska, Purdue, Indiana, and San Diego, California.Thepurposeoftheworkshopwastobringtogetherusersanddevel- ers of the OpenMP API for shared memory parallel programming to disseminate their ideas and experiences and discuss the latest developments in OpenMP and its application. To support this aim, the program comprised a mixture of invited talks from research and industry, experience reports, and submitted papers, the last of which are presented in this volume. A tutorial introduction to OpenMP was held at the same location on May 18 by Ruud van der Pas from Sun Microsystems. Further, a two-day lab session called OMPlab was held immediately following the workshop and the tutorial on May 19 and 20, and was attended by both novice and advanced users. Many of the hardware vendors and several researchers gave in-depth tutorials on their softwareandmadetheirsystemsavailabletobothnoviceandadvancedattendees during OMPlab. Contributors to the WOMPAT 2004 OMPlab included IBM, Intel, Sun, the University of Tennessee, NASA, the University of Greenwich, Cornell University, the University of Oregon and the University of Houston. TheOpenMPAPIisawidelyacceptedstandardforhigh-levelsharedmemory parallel programming that was put forth by a consortium of vendors in 1997.
Download or read book Languages and Compilers for Parallel Computing written by Utpal Banerjee and published by Springer Science & Business Media. This book was released on 1993-12-08 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this volume are revised versions of the best papers presented at the Fifth Workshop on Languages and Compilers for Parallel Computing, held at Yale University, August 1992. The previous workshops in this series were held in Santa Clara (1991), Irvine (1990), Urbana (1989), and Ithaca (1988). As in previous years, a reasonable cross-section of some of the best work in the field is presented. The volume contains 35 papers, mostly by authors working in the U.S. or Canada but also by authors from Austria, Denmark, Israel, Italy, Japan and the U.K.
Download or read book OpenMP Shared Memory Parallel Programming written by Matthias S. Müller and published by Springer. This book was released on 2008-05-23 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the First and the Second International Workshop on OpenMP, IWOMP 2005 and IWOMP 2006, held in Eugene, OR, USA, and in Reims, France, in June 2005 and 2006 respectively. The first part of the book presents 16 revised full papers carefully reviewed and selected from the IWOMP 2005 program and organized in topical sections on performance tools, compiler technology, run-time environment, applications, as well as the OpenMP language and its evaluation. In the second part there are 19 papers of IWOMP 2006, fully revised and grouped thematically in sections on advanced performance tuning aspects of code development applications, and proposed extensions to OpenMP.
Download or read book A Parallel Lisp Simulator written by Joseph S. Weening and published by . This book was released on 1988 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: CSIM is a simulator for parallel Lisp, based on a continuation passing interpreter. It models a shared-memory multiprocessor executing programs written in Common Lisp, extended with several primitives for creating and controlling processes. This paper describes the structure of the simulator, measures its performance, and gives an example of its use with a parallel Lisp program. Keywords: MIMD (Multiple Instruction Multiple Data).
Download or read book Compiling LISP for Evaluation on a Tightly Coupled Multiprocessor written by W. Ludwell Harrison and published by . This book was released on 1986 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Shared Memory Multiprocessing written by Norihisa Suzuki and published by MIT Press. This book was released on 1992 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shared memory multiprocessors are becoming the dominant architecture for small-scale parallel computation. This book is the first to provide a coherent review of current research in shared memory multiprocessing in the United States and Japan. It focuses particularly on scalable architecture that will be able to support hundreds of microprocessors as well as on efficient and economical ways of connecting these fast microprocessors. The 20 contributions are divided into sections covering the experience to date with multiprocessors, cache coherency, software systems, and examples of scalable shared memory multiprocessors.
Download or read book OpenMP Shared Memory Parallel Programming written by Rudolf Eigenmann and published by Springer. This book was released on 2003-05-15 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the presentations given at the Workshop on OpenMP App- cations and Tools, WOMPAT 2001. The workshop was held on July 30 and 31, 2001 at Purdue University, West Lafayette, Indiana, USA. It brought together designers, users, and researchers of the OpenMP application programming int- face. OpenMP has emerged as the standard for shared memory parallel progr- ming. For the rst time, it is possible to write parallel programs that are portable across the majority of shared memory parallel computers. WOMPAT 2001 s- ved as a forum for all those interested in OpenMP and allowed them to meet, share ideas and experiences, and discuss the latest developments of OpenMP and its applications. WOMPAT 2001 was co-sponsored by the OpenMP Architecture Review Board (ARB). It followed a series of workshops on OpenMP, including WOMPAT 2000, EWOMP 2000, and WOMPEI 2000. For WOMPAT 2001, we solicited papers formally and published them in the form of this book. The authors submitted extended abstracts, which were reviewed by the program committee. All submitted papers were accepted. The authors were asked to prepare a nal paper in which they addressed the reviewers comments. The proceedings, in the form of this book, were created in time to be available at the workshop. In this way, we hope to have brought out a timely report of ongoing OpenMP-related research and development e orts as well as ideas for future improvements.
Download or read book Parallel Computation and Computers for Artificial Intelligence written by J.S. Kowalik and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contributions from all leading researchers, but it covers a relatively wide variety of views and topics and in this sense can be helpful in assessing the state ofthe art. We hope that the book will serve, at least, as a pointer to more specialized literature and that it will stimulate interest in the area of parallel AI processing. It has been a great pleasure and a privilege to cooperate with all contributors to this volume. They have my warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me in the editorial task and demonstrated a great deal of skill and patience. Janusz S. Kowalik vii INTRODUCTION Artificial intelligence (AI) computer programs can be very time-consuming.
Download or read book Languages and Compilers for Parallel Computing written by Călin Cașcaval and published by Springer. This book was released on 2014-09-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2013, held in Tokyo, Japan, in September 2012. The 20 revised full papers and two keynote papers presented were carefully reviewed and selected from 44 submissions. The focus of the papers is on following topics: parallel programming models, compiler analysis techniques, parallel data structures and parallel execution models, to GPGPU and other heterogeneous execution models, code generation for power efficiency on mobile platforms, and debugging and fault tolerance for parallel systems.
Download or read book Automatic Parallelization written by Samuel P. Midkiff and published by Morgan & Claypool Publishers. This book was released on 2012 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compiling for parallelism is a longstanding topic of compiler research. This book describes the fundamental principles of compiling regular numerical programs for parallelism. We begin with an explanation of analyses that allow a compiler to understand the interaction of data reads and writes in different statements and loop iterations during program execution. These analyses include dependence analysis, use-def analysis and pointer analysis. Next, we describe how the results of these analyses are used to enable transformations that make loops more amenable to parallelization, and discuss transformations that expose parallelism to target shared memory multicore and vector processors. We then discuss some problems that arise when parallelizing programs for execution on distributed memory machines. Finally, we conclude with an overview of solving Diophantine equations and suggestions for further readings in the topics of this book to enable the interested reader to delve deeper into the field. Table of Contents: Introduction and overview / Dependence analysis, dependence graphs and alias analysis / Program parallelization / Transformations to modify and eliminate dependences / Transformation of iterative and recursive constructs / Compiling for distributed memory machines / Solving Diophantine equations / A guide to further reading
