Compiling Scientific Programs For Scalable Parallel Systems

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Compiling Scientific Programs for Scalable Parallel Systems

Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (485 download)

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Book Synopsis Compiling Scientific Programs for Scalable Parallel Systems by :

Download or read book Compiling Scientific Programs for Scalable Parallel Systems written by and published by . This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report details research into compiler technology to support machine-independent data parallel programming for scientific application. The investigation focused on focused on design and development of dHPF, an advanced prototype compiler for High Performance FORTRAN (HPF). The research performed in this project included new techniques for recognizing implicit parallelism in sequential programs, a powerful and precise set-based framework for analysis and transformation of data-parallel programs, support for sophisticated data and computation partitioning, effective support for generation and optimization of parallel code for message-passing and distribution shared-memory systems; techniques for supporting sophisticated data-parallel applications with irregular structure, and an integrated compiled effort that included a multi-level memory hierarchy simulator and techniques for improving locality in irregular computations.

Compiler Optimizations for Scalable Parallel Systems

Author : Santosh Pande
Publisher : Springer
ISBN 13 : 3540454039
Total Pages : 783 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Compiler Optimizations for Scalable Parallel Systems by : Santosh Pande

Download or read book Compiler Optimizations for Scalable Parallel Systems written by Santosh Pande and published by Springer. This book was released on 2003-06-29 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scalable parallel systems or, more generally, distributed memory systems offer a challenging model of computing and pose fascinating problems regarding compiler optimization, ranging from language design to run time systems. Research in this area is foundational to many challenges from memory hierarchy optimizations to communication optimization. This unique, handbook-like monograph assesses the state of the art in the area in a systematic and comprehensive way. The 21 coherent chapters by leading researchers provide complete and competent coverage of all relevant aspects of compiler optimization for scalable parallel systems. The book is divided into five parts on languages, analysis, communication optimizations, code generation, and run time systems. This book will serve as a landmark source for education, information, and reference to students, practitioners, professionals, and researchers interested in updating their knowledge about or active in parallel computing.

Languages, Compilers and Run-Time Systems for Scalable Computers

Author : Boleslaw K. Szymanski
Publisher : Springer Science & Business Media
ISBN 13 : 146152315X
Total Pages : 349 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Languages, Compilers and Run-Time Systems for Scalable Computers by : Boleslaw K. Szymanski

Download or read book Languages, Compilers and Run-Time Systems for Scalable Computers written by Boleslaw K. Szymanski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language, Compilers and Run-time Systems for Scalable Computers contains 20 articles based on presentations given at the third workshop of the same title, and 13 extended abstracts from the poster session. Starting with new developments in classical problems of parallel compiler design, such as dependence analysis and an exploration of loop parallelism, the book goes on to address the issues of compiler strategy for specific architectures and programming environments. Several chapters investigate support for multi-threading, object orientation, irregular computation, locality enhancement, and communication optimization. Issues of the interface between language and operating system support are also discussed. Finally, the load balance issues are discussed in different contexts, including sparse matrix computation and iteratively balanced adaptive solvers for partial differential equations. Some additional topics are also discussed in the extended abstracts. Each chapter provides a bibliography of relevant papers and the book can thus be used as a reference to the most up-to-date research in parallel software engineering.

Parallel Processing for Scientific Computing

Author : Michael A. Heroux
Publisher : SIAM
ISBN 13 : 9780898718133
Total Pages : 421 pages
Book Rating : 4.7/5 (181 download)

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Book Synopsis Parallel Processing for Scientific Computing by : Michael A. Heroux

Download or read book Parallel Processing for Scientific Computing written by Michael A. Heroux and published by SIAM. This book was released on 2006-01-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.

Compiler Optimization Techniques for Scalable Parallel System

Author : K.RAJESHKUMAR
Publisher : SK Research Group of Companies
ISBN 13 : 8119980328
Total Pages : 148 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Compiler Optimization Techniques for Scalable Parallel System by : K.RAJESHKUMAR

Download or read book Compiler Optimization Techniques for Scalable Parallel System written by K.RAJESHKUMAR and published by SK Research Group of Companies. This book was released on 2024-01-02 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: K.RAJESHKUMAR, Assistant Professor, Department of Computer Science, Arignar Anna Government Arts College, Namakkal, Tamil Nadu, India. Dr.A.ARUL MARY, Assistant Professor, Department of Computer Science, Government arts and Science College for Women, Koothanallur, Thiruvarur, Tamil Nadu, India. S.NANDHINIESWARI, Assistant professor, Department of Computer Applications, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu, India. Dr.S.MAGESH KUMAR, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, India. Dr.C.GOVINDASAMY, Associate Professor, Department of Computer Science & Engineering, Saveetha School of Engineering - SIMATS, Chennai, Tamil Nadu, India.

Languages, Compilers, and Run-Time Systems for Scalable Computers

Author : David O'Hallaron
Publisher : Springer
ISBN 13 : 3540495304
Total Pages : 420 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Languages, Compilers, and Run-Time Systems for Scalable Computers by : David O'Hallaron

Download or read book Languages, Compilers, and Run-Time Systems for Scalable Computers written by David O'Hallaron and published by Springer. This book was released on 2003-06-29 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the 4th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR '98, held in Pittsburgh, PA, USA in May 1998. The 23 revised full papers presented were carefully selected from a total of 47 submissions; also included are nine refereed short papers. All current issues of developing software systems for parallel and distributed computers are covered, in particular irregular applications, automatic parallelization, run-time parallelization, load balancing, message-passing systems, parallelizing compilers, shared memory systems, client server applications, etc.

Scientific Parallel Computing

Author : L. Ridgway Scott
Publisher : Princeton University Press
ISBN 13 : 0691227659
Total Pages : 392 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Scientific Parallel Computing by : L. Ridgway Scott

Download or read book Scientific Parallel Computing written by L. Ridgway Scott and published by Princeton University Press. This book was released on 2021-03-09 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate many processors to accomplish a single task. From mining genomes to the World Wide Web, from modeling financial markets to global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches alone. Its fundamental role as an enabler of simulations and data analysis continues an advance in a wide range of application areas. Scientific Parallel Computing is the first textbook to integrate all the fundamentals of parallel computing in a single volume while also providing a basis for a deeper understanding of the subject. Designed for graduate and advanced undergraduate courses in the sciences and in engineering, computer science, and mathematics, it focuses on the three key areas of algorithms, architecture, languages, and their crucial synthesis in performance. The book's computational examples, whose math prerequisites are not beyond the level of advanced calculus, derive from a breadth of topics in scientific and engineering simulation and data analysis. The programming exercises presented early in the book are designed to bring students up to speed quickly, while the book later develops projects challenging enough to guide students toward research questions in the field. The new paradigm of cluster computing is fully addressed. A supporting web site provides access to all the codes and software mentioned in the book, and offers topical information on popular parallel computing systems. Integrates all the fundamentals of parallel computing essential for today's high-performance requirements Ideal for graduate and advanced undergraduate students in the sciences and in engineering, computer science, and mathematics Extensive programming and theoretical exercises enable students to write parallel codes quickly More challenging projects later in the book introduce research questions New paradigm of cluster computing fully addressed Supporting web site provides access to all the codes and software mentioned in the book

Performance Evaluation, Prediction and Visualization of Parallel Systems

Author : Xingfu Wu
Publisher : Springer Science & Business Media
ISBN 13 : 1461551471
Total Pages : 336 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Performance Evaluation, Prediction and Visualization of Parallel Systems by : Xingfu Wu

Download or read book Performance Evaluation, Prediction and Visualization of Parallel Systems written by Xingfu Wu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability, addresses the basic metrics affecting the scalability of parallel systems, discusses scalability of parallel systems from three aspects: parallel architecture, parallel algorithm and parallel algorithm-architecture combinations, and analyzes the relations of scalability and speedup. Chapter 4 discusses the methodology of performance measurement, describes the benchmark- oriented performance test and analysis and how to measure speedup and scalability in practice. Chapter 5 analyzes the difficulties in performance prediction, discusses application-oriented and architecture-oriented performance prediction and how to predict speedup and scalability in practice. Chapter 6 discusses performance visualization techniques and tools for parallel systems from three stages: performance data collection, performance data filtering and performance data visualization, and classifies the existing performance visualization tools. Chapter 7 describes parallel compiling-based, search-based and knowledge-based performance debugging, which assists programmers to optimize the strategy or algorithm in their parallel programs, and presents visual programming-based performance debugging to help programmers identify the location and cause of the performance problem. It also provides concrete suggestions on how to modify their parallel program to improve the performance. Chapter 8 gives an overview of current interconnection networks for parallel systems, analyzes the scalability of interconnection networks, and discusses how to measure and improve network performances. Performance Evaluation, Prediction and Visualization in Parallel Systems serves as an excellent reference for researchers, and may be used as a text for advanced courses on the topic.

Topics in Parallel and Distributed Computing

Author : Sushil K. Prasad
Publisher : Springer
ISBN 13 : 3319931091
Total Pages : 336 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Topics in Parallel and Distributed Computing by : Sushil K. Prasad

Download or read book Topics in Parallel and Distributed Computing written by Sushil K. Prasad and published by Springer. This book was released on 2018-09-29 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GPUs), and graphical user interfaces (GUI) for mobile applications. The book also guides instructors via selected essays on what and how to introduce parallel and distributed computing topics into the undergraduate curricula, including quality criteria for parallel algorithms and programs, scalability, parallel performance, fault tolerance, and energy efficiency analysis. The chapters designed for students serve as supplemental textual material for early computing core courses, which students can use for learning and exercises. The illustrations, examples, and sequences of smaller steps to build larger concepts are also tools that could be inserted into existing instructor material. The chapters intended for instructors are written at a teaching level and serve as a rigorous reference to include learning goals, advice on presentation and use of the material, within early and advanced undergraduate courses. Since Parallel and Distributed Computing (PDC) now permeates most computing activities, imparting a broad-based skill set in PDC technology at various levels in the undergraduate educational fabric woven by Computer Science (CS) and Computer Engineering (CE) programs as well as related computational disciplines has become essential. This book and others in this series aim to address the need for lack of suitable textbook support for integrating PDC-related topics into undergraduate courses, especially in the early curriculum. The chapters are aligned with the curricular guidelines promulgated by the NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing for CS and CE students and with the CS2013 ACM/IEEE Computer Science Curricula.

Programming Environments for Massively Parallel Distributed Systems

Author : Karsten M. Decker
Publisher : Birkhäuser
ISBN 13 : 3034885342
Total Pages : 417 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Programming Environments for Massively Parallel Distributed Systems by : Karsten M. Decker

Download or read book Programming Environments for Massively Parallel Distributed Systems written by Karsten M. Decker and published by Birkhäuser. This book was released on 2013-04-17 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massively Parallel Systems (MPSs) with their scalable computation and storage space promises are becoming increasingly important for high-performance computing. The growing acceptance of MPSs in academia is clearly apparent. However, in industrial companies, their usage remains low. The programming of MPSs is still the big obstacle, and solving this software problem is sometimes referred to as one of the most challenging tasks of the 1990's. The 1994 working conference on "Programming Environments for Massively Parallel Systems" was the latest event of the working group WG 10.3 of the International Federation for Information Processing (IFIP) in this field. It succeeded the 1992 conference in Edinburgh on "Programming Environments for Parallel Computing". The research and development work discussed at the conference addresses the entire spectrum of software problems including virtual machines which are less cumbersome to program; more convenient programming models; advanced programming languages, and especially more sophisticated programming tools; but also algorithms and applications.

Introduction to Parallel Computing

Author : Ananth Grama
Publisher : Pearson Education
ISBN 13 : 9780201648652
Total Pages : 664 pages
Book Rating : 4.6/5 (486 download)

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Book Synopsis Introduction to Parallel Computing by : Ananth Grama

Download or read book Introduction to Parallel Computing written by Ananth Grama and published by Pearson Education. This book was released on 2003 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.

Tools and Environments for Parallel and Distributed Systems

Author : Amr Zaky
Publisher : Springer Science & Business Media
ISBN 13 : 1461541239
Total Pages : 308 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Tools and Environments for Parallel and Distributed Systems by : Amr Zaky

Download or read book Tools and Environments for Parallel and Distributed Systems written by Amr Zaky and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing correct and efficient software is far more complex for parallel and distributed systems than it is for sequential processors. Some of the reasons for this added complexity are: the lack of a universally acceptable parallel and distributed programming paradigm, the criticality of achieving high performance, and the difficulty of writing correct parallel and distributed programs. These factors collectively influence the current status of parallel and distributed software development tools efforts. Tools and Environments for Parallel and Distributed Systems addresses the above issues by describing working tools and environments, and gives a solid overview of some of the fundamental research being done worldwide. Topics covered in this collection are: mainstream program development tools, performance prediction tools and studies; debugging tools and research; and nontraditional tools. Audience: Suitable as a secondary text for graduate level courses in software engineering and parallel and distributed systems, and as a reference for researchers and practitioners in industry.

并行程序设计

Author : Foster
Publisher :
ISBN 13 : 9787115103475
Total Pages : 381 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis 并行程序设计 by : Foster

Download or read book 并行程序设计 written by Foster and published by . This book was released on 2002 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 国外著名高等院校信息科学与技术优秀教材

Parallel Programming Systems for Scalable Scientific Computing

Author : Stijn Heldens
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (142 download)

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Book Synopsis Parallel Programming Systems for Scalable Scientific Computing by : Stijn Heldens

Download or read book Parallel Programming Systems for Scalable Scientific Computing written by Stijn Heldens and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "High-performance computing (HPC) systems are more powerful than ever before. However, this rise in performance brings with it greater complexity, presenting significant challenges for researchers who wish to use these systems for their scientific work. This dissertation explores the development of scalable programming solutions for scientific computing . These solutions aim to be effective across a diverse range of computing platforms, from personal desktops to advanced supercomputers. To better understand HPC systems , this dissertation begins with a literature review on exascale supercomputers, massive systems capable of performing 1018 floating-point operations per second. This review combines both manual and data-driven analyses, revealing that while traditional challenges of exascale computing have largely been addressed, issues like software complexity and data volume remain. Additionally, the dissertation introduces the open-source software tool (called LitStudy) developed for this research. Next, this dissertation introduces two novel programming systems . The first system (called Rocket) is designed to scale all- versus-all algorithms to massive datasets. It features a multi-level software-based cache, a divide-and-conquer approach, hierarchical work-stealing, and asynchronous processing to maximize data reuse, exploit data locality, dynamically balance workloads, and optimize resource utilization. The second system (called Lightning) aims to scale existing single-GPU kernel functions across multiple GPUs, even on different nodes, with minimal code adjustments. Results across eight benchmarks on up to 32 GPUs show excellent scalability. The dissertation concludes by proposing a set of design principles for developing parallel programming systems for scalable scientific computing . These principles, based on lessons from this PhD research, represent significant steps forward in enabling researchers to efficiently utilize HPC systems."--

Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing

Author : David H. Bailey
Publisher : SIAM
ISBN 13 : 9780898713442
Total Pages : 900 pages
Book Rating : 4.7/5 (134 download)

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Book Synopsis Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing by : David H. Bailey

Download or read book Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing written by David H. Bailey and published by SIAM. This book was released on 1995-01-01 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings -- Parallel Computing.

The Compiler Design Handbook

Author : Y.N. Srikant
Publisher : CRC Press
ISBN 13 : 142004057X
Total Pages : 930 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis The Compiler Design Handbook by : Y.N. Srikant

Download or read book The Compiler Design Handbook written by Y.N. Srikant and published by CRC Press. This book was released on 2002-09-25 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread use of object-oriented languages and Internet security concerns are just the beginning. Add embedded systems, multiple memory banks, highly pipelined units operating in parallel, and a host of other advances and it becomes clear that current and future computer architectures pose immense challenges to compiler designers-challenges th

High-Performance Scientific Computing

Author : Michael W. Berry
Publisher : Springer Science & Business Media
ISBN 13 : 1447124375
Total Pages : 351 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis High-Performance Scientific Computing by : Michael W. Berry

Download or read book High-Performance Scientific Computing written by Michael W. Berry and published by Springer Science & Business Media. This book was released on 2012-01-18 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.