Programming Multicore And Many Core Computing Systems

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Programming Multicore and Many-core Computing Systems

Sabri Pllana,Fatos Xhafa
Programming Multicore and Many core Computing Systems Book PDF

Author : Sabri Pllana,Fatos Xhafa
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 50,6 Mb
Release : 2017-01-23
Category : Computers
ISBN : 9781119332008

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Programming Multicore and Many-core Computing Systems by Sabri Pllana,Fatos Xhafa Pdf

Programming multi-core and many-core computing systems Sabri Pllana, Linnaeus University, Sweden Fatos Xhafa, Technical University of Catalonia, Spain Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems. Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors. However, programmers have been traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the past, only a relatively small group of programmers interested in High Performance Computing (HPC) was concerned with the parallel programming issues, but the situation has changed dramatically with the appearance of multi-core processors on commonly used computing systems. It is expected that with the pervasiveness of multi-core processors, parallel programming will become mainstream. The pervasiveness of multi-core processors affects a large spectrum of systems, from embedded and general-purpose, to high-end computing systems. This book assists programmers in mastering the efficient programming of multi-core systems, which is of paramount importance for the software-intensive industry towards a more effective product-development cycle. Key features: Lessons, challenges, and roadmaps ahead. Contains real world examples and case studies. Helps programmers in mastering the efficient programming of multi-core and many-core systems. The book serves as a reference for a larger audience of practitioners, young researchers and graduate level students. A basic level of programming knowledge is required to use this book.

Programming Multicore and Many-core Computing Systems

Sabri Pllana,Fatos Xhafa
Programming Multicore and Many core Computing Systems Book PDF

Author : Sabri Pllana,Fatos Xhafa
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 48,9 Mb
Release : 2017-01-23
Category : Computers
ISBN : 9781119331995

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Programming Multicore and Many-core Computing Systems by Sabri Pllana,Fatos Xhafa Pdf

Programming multi-core and many-core computing systems Sabri Pllana, Linnaeus University, Sweden Fatos Xhafa, Technical University of Catalonia, Spain Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems. Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors. However, programmers have been traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the past, only a relatively small group of programmers interested in High Performance Computing (HPC) was concerned with the parallel programming issues, but the situation has changed dramatically with the appearance of multi-core processors on commonly used computing systems. It is expected that with the pervasiveness of multi-core processors, parallel programming will become mainstream. The pervasiveness of multi-core processors affects a large spectrum of systems, from embedded and general-purpose, to high-end computing systems. This book assists programmers in mastering the efficient programming of multi-core systems, which is of paramount importance for the software-intensive industry towards a more effective product-development cycle. Key features: Lessons, challenges, and roadmaps ahead. Contains real world examples and case studies. Helps programmers in mastering the efficient programming of multi-core and many-core systems. The book serves as a reference for a larger audience of practitioners, young researchers and graduate level students. A basic level of programming knowledge is required to use this book.

Parallel Programming

Thomas Rauber,Gudula Rünger
Parallel Programming Book PDF

Author : Thomas Rauber,Gudula Rünger
Publisher : Springer Science & Business Media
Page : 523 pages
File Size : 42,6 Mb
Release : 2013-06-13
Category : Computers
ISBN : 9783642378010

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Parallel Programming by Thomas Rauber,Gudula Rünger Pdf

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. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added. The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of 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 material presented has been used for courses in parallel programming at different universities for many years.

Many-Core Computing

Bashir M. Al-Hashimi,Geoff V. Merrett
Many Core Computing Book PDF

Author : Bashir M. Al-Hashimi,Geoff V. Merrett
Publisher : Computing and Networks
Page : 601 pages
File Size : 53,8 Mb
Release : 2019-04
Category : Computers
ISBN : 9781785615825

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Many-Core Computing by Bashir M. Al-Hashimi,Geoff V. Merrett Pdf

The primary aim of this book is to provide a timely and coherent account of the recent advances in many-core computing research. Starting with programming models, operating systems and their applications; it presents runtime management techniques, followed by system modelling, verification and testing methods, and architectures and systems.

Parallel Programming for Modern High Performance Computing Systems

Pawel Czarnul
Parallel Programming for Modern High Performance Computing Systems Book PDF

Author : Pawel Czarnul
Publisher : CRC Press
Page : 304 pages
File Size : 47,5 Mb
Release : 2018-03-05
Category : Business & Economics
ISBN : 9781351385800

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Parallel Programming for Modern High Performance Computing Systems by Pawel Czarnul Pdf

In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs

Fundamentals of Multicore Software Development

Victor Pankratius,Ali-Reza Adl-Tabatabai,Walter Tichy
Fundamentals of Multicore Software Development Book PDF

Author : Victor Pankratius,Ali-Reza Adl-Tabatabai,Walter Tichy
Publisher : CRC Press
Page : 322 pages
File Size : 41,5 Mb
Release : 2011-12-12
Category : Computers
ISBN : 9781439812747

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Fundamentals of Multicore Software Development by Victor Pankratius,Ali-Reza Adl-Tabatabai,Walter Tichy Pdf

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master the multicore challenge.

Parallel Programming for Modern High Performance Computing Systems

Pawel Czarnul
Parallel Programming for Modern High Performance Computing Systems Book PDF

Author : Pawel Czarnul
Publisher : CRC Press
Page : 261 pages
File Size : 50,9 Mb
Release : 2018-03-05
Category : Business & Economics
ISBN : 9781351385794

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Parallel Programming for Modern High Performance Computing Systems by Pawel Czarnul Pdf

In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs

Multicore and GPU Programming

Gerassimos Barlas
Multicore and GPU Programming Book PDF

Author : Gerassimos Barlas
Publisher : Elsevier
Page : 698 pages
File Size : 50,6 Mb
Release : 2014-12-16
Category : Computers
ISBN : 9780124171404

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Multicore and GPU Programming by Gerassimos Barlas Pdf

Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines. Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance Particular focus on the emerging area of divisible load theory and its impact on load balancing and distributed systems Download source code, examples, and instructor support materials on the book's companion website

Programming Many-Core Chips

András Vajda
Programming Many Core Chips Book PDF

Author : András Vajda
Publisher : Springer Science & Business Media
Page : 228 pages
File Size : 48,7 Mb
Release : 2011-06-10
Category : Technology & Engineering
ISBN : 9781441997395

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Programming Many-Core Chips by András Vajda Pdf

This book presents new concepts, techniques and promising programming models for designing software for chips with "many" (hundreds to thousands) processor cores. Given the scale of parallelism inherent to these chips, software designers face new challenges in terms of operating systems, middleware and applications. This will serve as an invaluable, single-source reference to the state-of-the-art in programming many-core chips. Coverage includes many-core architectures, operating systems, middleware, and programming models.

Multicore Computing

Sanguthevar Rajasekaran,Lance Fiondella,Mohamed Ahmed,Reda A. Ammar
Multicore Computing Book PDF

Author : Sanguthevar Rajasekaran,Lance Fiondella,Mohamed Ahmed,Reda A. Ammar
Publisher : CRC Press
Page : 455 pages
File Size : 46,8 Mb
Release : 2013-12-12
Category : Computers
ISBN : 9781439854341

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Multicore Computing by Sanguthevar Rajasekaran,Lance Fiondella,Mohamed Ahmed,Reda A. Ammar Pdf

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the advent of multicore architectures. However, programming multicore machines is much more difficult due to oddities existing in the architectures. Offering insights into different facets of this area, Multicore Computing: Algorithms, Architectures, and Applications focuses on the architectures, algorithms, and applications of multicore computing. It will help readers understand the intricacies of these architectures and prepare them to design efficient multicore algorithms. Contributors at the forefront of the field cover the memory hierarchy for multicore and manycore processors, the caching strategy Flexible Set Balancing, the main features of the latest SPARC architecture specification, the Cilk and Cilk++ programming languages, the numerical software library Parallel Linear Algebra Software for Multicore Architectures (PLASMA), and the exact multipattern string matching algorithm of Aho-Corasick. They also describe the architecture and programming model of the NVIDIA Tesla GPU, discuss scheduling directed acyclic graphs onto multi/manycore processors, and evaluate design trade-offs among Intel and AMD multicore processors, IBM Cell Broadband Engine, and NVIDIA GPUs. In addition, the book explains how to design algorithms for the Cell Broadband Engine and how to use the backprojection algorithm for generating images from synthetic aperture radar data.

Multicore Processors and Systems

Stephen W. Keckler,Kunle Olukotun,H. Peter Hofstee
Multicore Processors and Systems Book PDF

Author : Stephen W. Keckler,Kunle Olukotun,H. Peter Hofstee
Publisher : Springer Science & Business Media
Page : 310 pages
File Size : 54,5 Mb
Release : 2009-08-29
Category : Computers
ISBN : 9781441902634

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Multicore Processors and Systems by Stephen W. Keckler,Kunle Olukotun,H. Peter Hofstee Pdf

Multicore Processors and Systems provides a comprehensive overview of emerging multicore processors and systems. It covers technology trends affecting multicores, multicore architecture innovations, multicore software innovations, and case studies of state-of-the-art commercial multicore systems. A cross-cutting theme of the book is the challenges associated with scaling up multicore systems to hundreds of cores. The book provides an overview of significant developments in the architectures for multicore processors and systems. It includes chapters on fundamental requirements for multicore systems, including processing, memory systems, and interconnect. It also includes several case studies on commercial multicore systems that have recently been developed and deployed across multiple application domains. The architecture chapters focus on innovative multicore execution models as well as infrastructure for multicores, including memory systems and on-chip interconnections. The case studies examine multicore implementations across different application domains, including general purpose, server, media/broadband, network processing, and signal processing. Multicore Processors and Systems is the first book that focuses solely on multicore processors and systems, and in particular on the unique technology implications, architectures, and implementations. The book has contributing authors that are from both the academic and industrial communities.

Multicore and GPU Programming

Gerassimos Barlas
Multicore and GPU Programming Book PDF

Author : Gerassimos Barlas
Publisher : Morgan Kaufmann
Page : 1026 pages
File Size : 54,8 Mb
Release : 2022-02-09
Category : Computers
ISBN : 9780128141212

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Multicore and GPU Programming by Gerassimos Barlas Pdf

Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools, the book teaches the design and development of software capable of taking advantage of modern computing platforms that incorporate CPUs, GPUs and other accelerators. Presenting material refined over more than two decades of teaching parallel computing, author Gerassimos Barlas minimizes the challenge of transitioning from sequential programming to mastering parallel platforms with multiple examples, extensive case studies, and full source code. By using this book, readers will better understand how to develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting parallel machines. Includes comprehensive coverage of all major multi-core and many-core programming tools and platforms, including threads, OpenMP, MPI, CUDA, OpenCL and Thrust Covers the most recent versions of the above at the time of publication Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance Updates in the second edition include the use of the C++17 standard for all sample code, a new chapter on concurrent data structures, a new chapter on OpenCL, and the latest research on load balancing Includes downloadable source code, examples and instructor support materials on the book’s companion website

Scientific Computing with Multicore and Accelerators

Jakub Kurzak,David A. Bader,Jack Dongarra
Scientific Computing with Multicore and Accelerators Book PDF

Author : Jakub Kurzak,David A. Bader,Jack Dongarra
Publisher : CRC Press
Page : 514 pages
File Size : 49,5 Mb
Release : 2010-12-07
Category : Computers
ISBN : 9781439825372

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Scientific Computing with Multicore and Accelerators by Jakub Kurzak,David A. Bader,Jack Dongarra Pdf

The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial performance challenges for developers, including scalability, software tuning, and programming issues. Researchers at the Forefront Reveal Results from Their Own State-of-the-Art Work Edited by some of the top researchers in the field and with contributions from a variety of international experts, Scientific Computing with Multicore and Accelerators focuses on the architectural design and implementation of multicore and manycore processors and accelerators, including graphics processing units (GPUs) and the Sony Toshiba IBM (STI) Cell Broadband Engine (BE) currently used in the Sony PlayStation 3. The book explains how numerical libraries, such as LAPACK, help solve computational science problems; explores the emerging area of hardware-oriented numerics; and presents the design of a fast Fourier transform (FFT) and a parallel list ranking algorithm for the Cell BE. It covers stencil computations, auto-tuning, optimizations of a computational kernel, sequence alignment and homology, and pairwise computations. The book also evaluates the portability of drug design applications to the Cell BE and illustrates how to successfully exploit the computational capabilities of GPUs for scientific applications. It concludes with chapters on dataflow frameworks, the Charm++ programming model, scan algorithms, and a portable intracore communication framework. Explores the New Computational Landscape of Hybrid Processors By offering insight into the process of constructing and effectively using the technology, this volume provides a thorough and practical introduction to the area of hybrid computing. It discusses introductory concepts and simple examples of parallel computing, logical and performance debugging for parallel computing, and advanced topics and issues related to the use and building of many applications.

Programming for Hybrid Multi/Many-core MPP Systems

John Levesque
Programming for Hybrid Multi Many core MPP Systems Book PDF

Author : John Levesque
Publisher : Chapman and Hall/CRC
Page : 0 pages
File Size : 53,6 Mb
Release : 2016-06-01
Category : Computers
ISBN : 1439873712

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Programming for Hybrid Multi/Many-core MPP Systems by John Levesque Pdf

This book addresses the significant challenge in designing applications to effectively use high-performance computing architectures and offers methods to more effectively restructure applications to take advantage of these powerful nodes. The authors discuss the benefit of vectorization, providing examples run on current accelerators. They also explore issues with data locality when threading on the nodes and examine the accelerator in detail. The book describes programming environments for hybrid multicore systems, from the low level OpenCL and Cuda languages to new directive-based accelerator compilers.

Programming for Hybrid Multi/Manycore MPP Systems

John Levesque,Aaron Vose
Programming for Hybrid Multi Manycore MPP Systems Book PDF

Author : John Levesque,Aaron Vose
Publisher : CRC Press
Page : 305 pages
File Size : 51,7 Mb
Release : 2017-10-10
Category : Computers
ISBN : 9781439873724

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Programming for Hybrid Multi/Manycore MPP Systems by John Levesque,Aaron Vose Pdf

"Ask not what your compiler can do for you, ask what you can do for your compiler." --John Levesque, Director of Cray’s Supercomputing Centers of Excellence The next decade of computationally intense computing lies with more powerful multi/manycore nodes where processors share a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems approaching the exaflop regime. The node itself will consist of 10’s to 100’s of MIMD (multiple instruction, multiple data) processing units with SIMD (single instruction, multiple data) parallel instructions. Since a standard, affordable memory architecture will not be able to supply the bandwidth required by these cores, new memory organizations will be introduced. These new node architectures will represent a significant challenge to application developers. Programming for Hybrid Multi/Manycore MPP Systems attempts to briefly describe the current state-of-the-art in programming these systems, and proposes an approach for developing a performance-portable application that can effectively utilize all of these systems from a single application. The book starts with a strategy for optimizing an application for multi/manycore architectures. It then looks at the three typical architectures, covering their advantages and disadvantages. The next section of the book explores the other important component of the target—the compiler. The compiler will ultimately convert the input language to executable code on the target, and the book explores how to make the compiler do what we want. The book then talks about gathering runtime statistics from running the application on the important problem sets previously discussed. How best to utilize available memory bandwidth and virtualization is covered next, along with hybridization of a program. The last part of the book includes several major applications, and examines future hardware advancements and how the application developer may prepare for those advancements.