Symbolic Parallelization of Nested Loop Programs

Symbolic Parallelization of Nested Loop Programs

Author: Alexandru-Petru Tanase

Publisher: Springer

Published: 2018-02-22

Total Pages: 184

ISBN-13: 3319739093

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This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just‐in-time compilation. The new, on‐demand fault‐tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors.


Symbolic Analysis for Parallelizing Compilers

Symbolic Analysis for Parallelizing Compilers

Author: Mohammad R. Haghighat

Publisher: Springer

Published: 2007-08-19

Total Pages: 151

ISBN-13: 0585268290

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In Symbolic Analysis for Parallelizing Compilers the author presents an excellent demonstration of the effectiveness of symbolic analysis in tackling important optimization problems, some of which inhibit loop parallelization. The framework that Haghighat presents has proved extremely successful in induction and wraparound variable analysis, strength reduction, dead code elimination and symbolic constant propagation. The approach can be applied to any program transformation or optimization problem that uses properties and value ranges of program names. Symbolic analysis can be used on any transformational system or optimization problem that relies on compile-time information about program variables. This covers the majority of, if not all optimization and parallelization techniques. The book makes a compelling case for the potential of symbolic analysis, applying it for the first time - and with remarkable results - to a number of classical optimization problems: loop scheduling, static timing or size analysis, and dependence analysis. It demonstrates how symbolic analysis can solve these problems faster and more accurately than existing hybrid techniques.


Parallel Symbolic Computation Pasco '94 - Proceedings Of The First International Symposium

Parallel Symbolic Computation Pasco '94 - Proceedings Of The First International Symposium

Author: Hoon Hong

Publisher: World Scientific

Published: 1994-09-17

Total Pages: 450

ISBN-13: 9814550108

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These proceedings are devoted to communicating significant developments in all areas pertinent to Parallel Symbolic Computation.The scope includes algorithms, languages, software systems and application in any area of parallel symbolic computation, where parallelism is interpreted broadly to include concurrent, distributive, cooperative schemes, and so forth.


Languages and Compilers for Parallel Computing

Languages and Compilers for Parallel Computing

Author: Chua-Huang Huang

Publisher: Springer Science & Business Media

Published: 1996-01-24

Total Pages: 618

ISBN-13: 9783540607656

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This book presents the refereed proceedings of the Eighth Annual Workshop on Languages and Compilers for Parallel Computing, held in Columbus, Ohio in August 1995. The 38 full revised papers presented were carefully selected for inclusion in the proceedings and reflect the state of the art of research and advanced applications in parallel languages, restructuring compilers, and runtime systems. The papers are organized in sections on fine-grain parallelism, interprocedural analysis, program analysis, Fortran 90 and HPF, loop parallelization for HPF compilers, tools and libraries, loop-level optimization, automatic data distribution, compiler models, irregular computation, object-oriented and functional parallelism.


Parallel Processing and Applied Mathematics

Parallel Processing and Applied Mathematics

Author: Roman Wyrzykowski

Publisher: Springer

Published: 2012-07-03

Total Pages: 789

ISBN-13: 3642314643

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This two-volume-set (LNCS 7203 and 7204) constitutes the refereed proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011, held in Torun, Poland, in September 2011. The 130 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing; numerical algorithms and parallel numerics; parallel non-numerical algorithms; tools and environments for parallel/distributed/grid computing; applications of parallel/distributed computing; applied mathematics, neural networks and evolutionary computing; history of computing.


Languages and Compilers for Parallel Computing

Languages and Compilers for Parallel Computing

Author: Guang R. Gao

Publisher: Springer Science & Business Media

Published: 2010-06-09

Total Pages: 435

ISBN-13: 3642133738

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The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.


Specification of Parallel Algorithms

Specification of Parallel Algorithms

Author: Guy E. Blelloch

Publisher: American Mathematical Soc.

Published: 1994

Total Pages: 413

ISBN-13: 0821802534

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This volume contains papers presented at the DIMACS workshop on Specification of Parallel Algorithms, held in May 1994 at Princeton University. The goal of the workshop was to bring together some of the best researchers in parallel languages, algorithms, and systems to present and discuss recent developments in their areas of expertise. Among the topics discussed were new specification techniques for concurrent and distributed systems, behavioral and operational specification techniques, new parallel language and system abstractions, novel concurrent architectures and systems, large-scale parallel systems, specification tools and environments, and proof techniques for concurrent systems.


Loop Parallelization

Loop Parallelization

Author: Utpal Banerjee

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 187

ISBN-13: 1475756763

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Automatic transformation of a sequential program into a parallel form is a subject that presents a great intellectual challenge and promises a great practical award. There is a tremendous investment in existing sequential programs, and scientists and engineers continue to write their application programs in sequential languages (primarily in Fortran). The demand for higher speedups increases. The job of a restructuring compiler is to discover the dependence structure and the characteristics of the given machine. Much attention has been focused on the Fortran do loop. This is where one expects to find major chunks of computation that need to be performed repeatedly for different values of the index variable. Many loop transformations have been designed over the years, and several of them can be found in any parallelizing compiler currently in use in industry or at a university research facility. The book series on KappaLoop Transformations for Restructuring Compilerskappa provides a rigorous theory of loop transformations and dependence analysis. We want to develop the transformations in a consistent mathematical framework using objects like directed graphs, matrices, and linear equations. Then, the algorithms that implement the transformations can be precisely described in terms of certain abstract mathematical algorithms. The first volume, Loop Transformations for Restructuring Compilers: The Foundations, provided the general mathematical background needed for loop transformations (including those basic mathematical algorithms), discussed data dependence, and introduced the major transformations. The current volume, Loop Parallelization, builds a detailed theory of iteration-level loop transformations based on the material developed in the previous book.


Transforming for Parallelism Using Symbolic Summarization

Transforming for Parallelism Using Symbolic Summarization

Author: Oliver Joseph Sharp

Publisher:

Published: 1995

Total Pages: 336

ISBN-13:

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Abstract: "Effective use of parallelism is an important goal of computing research. This dissertation describes MAGNIFY, an interactive analysis and transformation tool that is part of the Delirium programming environment. The purpose of the environment is to transform sequential FORTRAN programs to execute efficiently on massively parallel distributed memory architectures. The main contributions of MAGNIFY are that it provides new and complex parallelization strategies that would be prohibitively diffficult to implement by hand, and that it allows the programmer to determine their use. MAGNIFY, selectively guided by the programmer in an interactive dialog, applies a novel set of code transformations to the application. The transformations reveal opportunities for concurrency beyond those available through traditional loop-based optimizations. Normal parallelizing compilers focus on individual parallel computations, usually expressed in loops, and introduce synchronization operations after each one. MAGNIFY is able to manage the interactions among parallel computations to achieve more efficient performance. MAGNIFY summarizes the data access behavior of sub- computations (such as loop nests) using symbolic data descriptors. The descriptors contain extensive symbolic and conditional information, providing more accuracy than previously developed summary structures. Once the code is analyzed, MAGNIFY uses the descriptors to apply transformations that expose concurrency and pipelining opportunities. The key transformation is split, which reduces synchronization constraints by sub-dividng computations. MAGNIFY also applies traditional loop transformations like interchange and loop-invariant code motion. After the programmer has used MAGNIFY to transform an application, the parallelization strategy is encoded in an intermediate form based on two notations: a coordination language called Delirium and an annotation language called Dossier. An adaptive run-time system executes the application, using run-time information to improve the scheduling efficiency. The run-time system incorporates algorithms that allocate processing resources to concurrently executing sub-computations and choose communication granularity. MAGNIFY has been used to analyze and transform three production scientific applications. Performance measurements show that the resulting parallel implementations are far more efficient than traditional static decomposition strategies on large numbers of processors."


Parallel Processing

Parallel Processing

Author: Bruno Buchberger

Publisher: Springer Science & Business Media

Published: 1994-08-30

Total Pages: 918

ISBN-13: 9783540584308

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Proceedings -- Parallel Computing.