Efficient And Correct Execution Of Parallel Programs That Share Memory
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Efficient And Correct Execution Of Parallel Programs That Share Memory Classic Reprint
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Author : Dennis Shasha
language : en
Publisher: Forgotten Books
Release Date : 2018-02-20
Efficient And Correct Execution Of Parallel Programs That Share Memory Classic Reprint written by Dennis Shasha and has been published by Forgotten Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-20 with Mathematics categories.
Excerpt from Efficient and Correct Execution of Parallel Programs That Share Memory In this paper, we consider an Optimization problem that arises in the execution Of parallel programs on shared memory multiple-instruction stream multiple-data stream (mimd) computers. A program on such a machine consists of many program segments each executed sequentially by a single processor. The processors have access to shared memory, and can execute standard memory access operations on this shared memory. This memory is distributed among many separate memory modules. A network connects processors to memory modules. Delays on this network are stochastic. Thus, Operations issued by a processor to distinct memory modules may not be executed as memory requests on those modules in the order they were issued. For performance reasons, we want to allow one operation to begin before a previous one in the same instruction Our analysis gives a method for determining which operations in a stream may be issued concurrently without changing the semantics Of the execution. We also consider code where blocks of Operations have to be executed atomically. This introduces the necessity of locks. We use a conflict graph similar to that used to schedule transactions in distributed databases. Our graph incorporates the order on Operations given by the program text, enabling us to do without locks even when database conflict graphs would suggest that locks are necessary. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Efficient And Correct Execution Of Parallel Programs That Share Memory
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Author : Courant Institute of Mathematical Sciences. Ultracomputer Research Laboratory
language : en
Publisher:
Release Date : 1986
Efficient And Correct Execution Of Parallel Programs That Share Memory written by Courant Institute of Mathematical Sciences. Ultracomputer Research Laboratory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematical optimization categories.
Efficient And Correct Execution Of Parallel Programs That Share Memory
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Author : Courant Institute of Mathematical Sciences. Ultracomputer Research Laboratory
language : en
Publisher:
Release Date : 1986
Efficient And Correct Execution Of Parallel Programs That Share Memory written by Courant Institute of Mathematical Sciences. Ultracomputer Research Laboratory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematical optimization categories.
Efficient And Correct Execution Of Parallel Programs That Share Memory Primary Source Edition
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Author : Dennis Shasha
language : en
Publisher:
Release Date : 2013-12
Efficient And Correct Execution Of Parallel Programs That Share Memory Primary Source Edition written by Dennis Shasha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12 with categories.
Shared Memory Parallelism Can Be Simple Fast And Scalable
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Author : Julian Shun
language : en
Publisher: Morgan & Claypool
Release Date : 2017-06-01
Shared Memory Parallelism Can Be Simple Fast And Scalable written by Julian Shun and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-01 with Computers categories.
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.
Parallel Language Support On Shared Memory Multiprocessors
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Author : Anurag Sah
language : en
Publisher:
Release Date : 1991
Parallel Language Support On Shared Memory Multiprocessors written by Anurag Sah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Parallel programming (Computer science) categories.
The study of general purpose parallel computing requires efficientat and inexpensive platforms for parallel program execution. This helps in ascertaining tradeoff choices between hardware complexity and software solutions for massively paralel systems design. In this report, we present an implementation of an efficient parallel execution model on shared memory multiprocessors based ona Threaded Abstract Machine. We discuss a k-way generalized locking strategy suitable for our model. We study the performance gains obtained by a queuing strategy whicwhich uses multiple queues with reduced access contention. We also present perforrformance models in shared memory machines, related to lock contention and serialization in shared memory allocation. A bia-based memory management technique which reduces the serialization is presented. These issues are critical for obtaining an efficient parallel execution environment.
An Introduction To Parallel Programming
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Author : Peter Pacheco
language : en
Publisher: Elsevier
Release Date : 2011-02-17
An Introduction To Parallel Programming written by Peter Pacheco and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-17 with Computers categories.
An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models
Parallel Programming
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Author : Thomas Rauber
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-16
Parallel Programming written by Thomas Rauber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-16 with Computers categories.
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
Adaptive Efficient Parallel Execution Of Parallel Programs
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Author :
language : en
Publisher:
Release Date : 2014
Adaptive Efficient Parallel Execution Of Parallel Programs written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Future multicore processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources which can complicate the programmer's task of efficiently exposing an application's parallelism onto these resources. Coupled with this complexity is the diverse set of performance objectives, such as latency, throughout, energy, power and resources, that users may desire. This dissertation proposes to automate the process of exposing an application's parallelism, in order to alleviate programmers from the burden of this complexity. It develops Varuna, a system that dynamically, continuously, rapidly and transparently adapts an application's parallelism to best match the instantaneous capabilities and availability of the hardware resources and the characteristics of the application, while optimizing different performance objectives. To facilitate rapid parallelism adaptation, this dissertation develops a holistic and resource-agnostic scalability model based on Amdahl's law. Varuna first employs the model to rapidly estimates changes in efficiency during an application's parallel execution. It then uses formulae, derived from the model, to instantaneously determine the optimum degree of parallelism (DoP) to employ for different performance objectives and automatically guides the execution to the computed DoP. In order for Varuna to transparently guide the application's parallel execution to the computed DoP, this dissertation proposes to employ a novel primitive called a virtual task (vtask). Vtasks decouple application-level parallelism from hardware parallelism. They are progress-aware entities and give Varuna the flexibility needed to transparently control an application's parallel execution, without hampering its forward progress. Varuna is programming model independent. It retains the existing programming abstractions and can be applied to both task-based and multithreaded shared memory parallel applications. Further, it requires no changes to the application or the Operating System, and can tackle arbitrary parallel applications that use standard APIs. This dissertation demonstrates Varuna for three different shared memory parallel programming APIs: Pthreads, Intel Thread Building Blocks (TBB), and Prometheus. This dissertation evaluates Varuna in three different execution environments, isolated, multiprogrammed and asymmetric, using unaltered C/C++ Pthreads, TBB and Prometheus applications from various standard benchmark suites, on three different real hardware platforms with different microarchitectural resource capabilities. Regardless of the execution environment, Varuna always outperformed the state-of-the-art approaches for the performance objectives considered.
Efficient Implementation Of High Level Parallel Programs
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Author : R. L. Bagrodia
language : en
Publisher:
Release Date : 1990
Efficient Implementation Of High Level Parallel Programs written by R. L. Bagrodia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Data structures (Computer science) categories.
Abstract: "The efficiency of a parallel program is related to the implementation of its data structures on the distributed (or shared) memory of a specific architecture. This paper describes a declarative approach that may be used to modify the mapping of the program data on a specific architecture. The ideas are developed in the context of a new language called UC and its implementation on the Connection Machine. The paper also contains measurements on sample programs to illustrate the effectiveness of data mappings in improving the execution efficiency of a program."