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Author: Saeed Taheri
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 106
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Book Description
Future computing systems, from handhelds all the way to supercomputers, will be more parallel and more heterogeneous than today's systems to provide more performance without an increase in power consumption. Therefore, GPUs are increasingly being used to accelerate general-purpose applications, including applications with data-dependent, irregular memory access patterns and control flow. The growing complexity, non-uniformity, heterogeneity, and parallelism will make these systems, i.e., GPGPU-accelerated systems, progressively more difficult to program. In the foreseeable future, the vast majority of programmers will no longer be able to extract additional performance or energy-savings from next-generation systems because their programming will be too difficult, i.e., the programmer will no longer possess the necessary expertise to understand and exploit the systems effectively. In this project, the characteristics of GPU codes will be quantified and, based on these metrics, different optimization suggestions will be made.
Author: Saeed Taheri
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 106
Get Book Here
Book Description
Future computing systems, from handhelds all the way to supercomputers, will be more parallel and more heterogeneous than today's systems to provide more performance without an increase in power consumption. Therefore, GPUs are increasingly being used to accelerate general-purpose applications, including applications with data-dependent, irregular memory access patterns and control flow. The growing complexity, non-uniformity, heterogeneity, and parallelism will make these systems, i.e., GPGPU-accelerated systems, progressively more difficult to program. In the foreseeable future, the vast majority of programmers will no longer be able to extract additional performance or energy-savings from next-generation systems because their programming will be too difficult, i.e., the programmer will no longer possess the necessary expertise to understand and exploit the systems effectively. In this project, the characteristics of GPU codes will be quantified and, based on these metrics, different optimization suggestions will be made.
Author: Molly Anne O'Neil
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 144
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Book Description
Graphics processing units (GPUs) are increasingly being used to accelerate general-purpose applications, including applications with data-dependent, irregular memory access patterns and control flow. However, relatively little is known about the behavior of irregular GPU codes, and there has been minimal effort to quantify the ways in which they differ from regular general-purpose GPU applications. I examine the behavior of a suite of optimized irregular GPU applications written in CUDA on a cycle-level GPU simulator. I characterize the performance bottlenecks in each program and connect source code to microarchitectural performance characteristics. I also assess the performance impact of modifying hardware parameters such as the cache and DRAM bandwidths and latencies, data cache sizes, coalescing behavior, and warp scheduling policy, and I discuss the implications for future GPU architecture design. I find that, while irregular graph codes exhibit significantly more underutilized execution cycles due to branch divergence, load imbalance, and synchronization overhead than regular programs, overall, code optimizations are often able to effectively address these performance hurdles. Insufficient bandwidth, long memory latency, and poor cache effectiveness are the biggest limiters of performance. Applications with irregular memory access patterns are more sensitive to changes in L2 latency and bandwidth than DRAM latency and bandwidth. Additionally, greedy-then-oldest scheduling is the best simple warp scheduler for irregular codes, and two-level scheduling does not significantly improve the performance of such codes.
Author: Mario R. Guarracino
Publisher: Springer
ISBN: 3642218784
Category : Computers
Languages : en
Pages : 684
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Book Description
This book constitutes thoroughly refereed post-conference proceedings of the workshops of the 16th International Conference on Parallel Computing, Euro-Par 2010, held in Ischia, Italy, in August/September 2010. The papers of these 9 workshops HeteroPar, HPCC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, and VHPC focus on promotion and advancement of all aspects of parallel and distributed computing.
Author: Matt Pharr
Publisher: Addison-Wesley Professional
ISBN: 9780321335593
Category : Computers
Languages : en
Pages : 814
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Book Description
More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.
Author: Volodymyr Kindratenko
Publisher: Springer
ISBN: 3319065483
Category : Computers
Languages : en
Pages : 404
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Book Description
This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors working on a specific group of methods; these leading experts provide mathematical background, parallel algorithms and implementation details leading to reusable, adaptable and scalable code fragments. This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency. The valuable insights into parallelization strategies for GPUs are supplemented by ready-to-use code fragments. Numerical Computations with GPUs targets professionals and researchers working in high performance computing and GPU programming. Advanced-level students focused on computer science and mathematics will also find this book useful as secondary text book or reference.
Author: Pierre-François Dutot
Publisher: Springer
ISBN: 3319436597
Category : Computers
Languages : en
Pages : 711
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Book Description
This book constitutes the refereed proceedings of the 22nd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France, in August 2016. The 47 revised full papers presented together with 2 invited papers and one industrial paper were carefully reviewed and selected from 176 submissions. The papers are organized in 12 topical sections: Support Tools and Environments; Performance and Power Modeling, Prediction and Evaluation; Scheduling and Load Balancing; High Performance Architectures and Compilers; Parallel and Distributed Data Management and Analytics; Cluster and Cloud Computing; Distributed Systems and Algorithms; Parallel and Distributed Programming, Interfaces, Languages; Multicore and Manycore Parallelism; Theory and Algorithms for Parallel Computation and Networking; Parallel Numerical Methods and Applications; Accelerator Computing.
Author: John Cheng
Publisher: John Wiley & Sons
ISBN: 1118739329
Category : Computers
Languages : en
Pages : 528
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Book Description
Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.
Author: David R. Kaeli
Publisher: Morgan Kaufmann
ISBN: 0128016493
Category : Computers
Languages : en
Pages : 330
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Book Description
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more
Author: IEEE Staff
Publisher:
ISBN: 9781728192567
Category :
Languages : en
Pages :
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Book Description
International Computer Symposium (ICS) is one of the prestigious international ICT symposiums held in Taiwan Founded in 1973, it is intended to provide a forum for researchers, educators, and professionals to exchange their discoveries and practices, and to explore future trends and applications in computer technologies The biennial symposium offers a great opportunity to share research experiences and to discuss potential new trends in the ICT industry
Author: Benedict Gaster
Publisher: Newnes
ISBN: 0124058949
Category : Computers
Languages : en
Pages : 309
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Book Description
Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. It is the first textbook that presents OpenCL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of OpenCL to address a range of fundamental parallel algorithms. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, Heterogeneous Computing with OpenCL explores memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. It includes detailed examples throughout, plus additional online exercises and other supporting materials that can be downloaded at http://www.heterogeneouscompute.org/?page_id=7 This book will appeal to software engineers, programmers, hardware engineers, and students/advanced students. Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications. Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more. Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms
