Many Core Computing
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Author | : Sabri Pllana |
Publisher | : John Wiley & Sons |
Total Pages | : 522 |
Release | : 2017-01-23 |
Genre | : Computers |
ISBN | : 1119331994 |
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.
Author | : András Vajda |
Publisher | : Springer Science & Business Media |
Total Pages | : 233 |
Release | : 2011-06-10 |
Genre | : Technology & Engineering |
ISBN | : 1441997393 |
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.
Author | : Garcia-Robledo, Alberto |
Publisher | : IGI Global |
Total Pages | : 232 |
Release | : 2018-01-05 |
Genre | : Computers |
ISBN | : 1522538003 |
Recent years have witnessed the rise of analysis of real-world massive and complex phenomena in graphs; to efficiently solve these large-scale graph problems, it is necessary to exploit high performance computing (HPC), which accelerates the innovation process for discovery and invention of new products and procedures in network science. Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing: Emerging Research and Opportunities is a critical scholarly resource that examines trends, challenges, and collaborative processes in emerging fields within complex network analysis. Featuring coverage on a broad range of topics such as high-performance computing, big data, network science, and accelerated network traversal, this book is geared towards data analysts, researchers, students in information communication technology (ICT), program developers, and academics.
Author | : Rajeev Balasubramonian |
Publisher | : Springer Nature |
Total Pages | : 137 |
Release | : 2022-06-01 |
Genre | : Technology & Engineering |
ISBN | : 303101734X |
A key determinant of overall system performance and power dissipation is the cache hierarchy since access to off-chip memory consumes many more cycles and energy than on-chip accesses. In addition, multi-core processors are expected to place ever higher bandwidth demands on the memory system. All these issues make it important to avoid off-chip memory access by improving the efficiency of the on-chip cache. Future multi-core processors will have many large cache banks connected by a network and shared by many cores. Hence, many important problems must be solved: cache resources must be allocated across many cores, data must be placed in cache banks that are near the accessing core, and the most important data must be identified for retention. Finally, difficulties in scaling existing technologies require adapting to and exploiting new technology constraints. The book attempts a synthesis of recent cache research that has focused on innovations for multi-core processors. It is an excellent starting point for early-stage graduate students, researchers, and practitioners who wish to understand the landscape of recent cache research. The book is suitable as a reference for advanced computer architecture classes as well as for experienced researchers and VLSI engineers. Table of Contents: Basic Elements of Large Cache Design / Organizing Data in CMP Last Level Caches / Policies Impacting Cache Hit Rates / Interconnection Networks within Large Caches / Technology / Concluding Remarks
Author | : S., Mohan |
Publisher | : IGI Global |
Total Pages | : 312 |
Release | : 2016-08-23 |
Genre | : Computers |
ISBN | : 1522508902 |
A multicore platform uses distributed or parallel computing in a single computer, and this can be used to assist image processing algorithms in reducing computational complexities. By implementing this novel approach, the performance of imaging, video, and vision algorithms would improve, leading the way for cost-effective devices like intelligent surveillance cameras. Multi-Core Computer Vision and Image Processing for Intelligent Applications is an essential publication outlining the future research opportunities and emerging technologies in the field of image processing, and the ways multi-core processing can further the field. This publication is ideal for policy makers, researchers, technology developers, and students of IT.
Author | : Bertil Schmidt |
Publisher | : CRC Press |
Total Pages | : 425 |
Release | : 2010-07-15 |
Genre | : Computers |
ISBN | : 1439858365 |
New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological
Author | : Diana Göhringer |
Publisher | : KIT Scientific Publishing |
Total Pages | : 122 |
Release | : 2011 |
Genre | : |
ISBN | : 3866447175 |
Author | : Bashir M. Al-Hashimi |
Publisher | : Institution of Engineering and Technology |
Total Pages | : 601 |
Release | : 2019-05-31 |
Genre | : Computers |
ISBN | : 1785615823 |
Computing has moved away from a focus on performance-centric serial computation, instead towards energy-efficient parallel computation. This provides continued performance increases without increasing clock frequencies, and overcomes the thermal and power limitations of the dark-silicon era. As the number of parallel cores increases, we transition into the many-core computing era. There is considerable interest in developing methods, tools, architectures and applications to support many-core computing.
Author | : Jeffrey S. Vetter |
Publisher | : CRC Press |
Total Pages | : 201 |
Release | : 2017-11-23 |
Genre | : Computers |
ISBN | : 135110392X |
HPC is used to solve a number of complex questions in computational and data-intensive sciences. These questions include the simulation and modeling of physical phenomena, such as climate change, energy production, drug design, global security, and materials design; the analysis of large data sets such as those in genome sequencing, astronomical observation, and cybersecurity; and the intricate design of engineered products, such as airplanes and automobiles. This second volume of Contemporary High Performance Computing: From Petascale toward Exascale continues to document international HPC ecosystems, including the sponsors and sites that host them. Each chapter is punctuated with a site's flagship system and: Presents highlights of applications, workloads, and benchmarks Describes hardware architectures, system software, and programming systems Explores storage, visualization, and analytics Examines the data center/facility as well as system statistics Featuring pictures of buildings and systems in production, floorplans, and many block diagrams and charts to illustrate system design and performance, Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two delivers a detailed snapshot of the rich history of practice in modern HPC. This book provides a valuable reference for researchers in HPC and computational science.
Author | : IEEE Staff |
Publisher | : |
Total Pages | : |
Release | : 2021-06-07 |
Genre | : |
ISBN | : 9781665429894 |
Topics of interest include, but are not limited to Software and Hardware Architectures for Embedded Systems Systems on Chip (SoCs) and Multicore Systems Communications, Networking and Connectivity Sensors and Sensor Networks Mobile and Pervasive Ubiquitous Computing Distributed Embedded Computing Real Time Systems Adaptive Systems Reconfigurable Systems Design Methodology and Tools Application Analysis and Parallelization System Architecture Synthesis Multi objective Optimization Low power Design and Energy, Management Hardware Software Simulation Rapid prototyping Testing and Benchmarking Micro and Nano Technology Organic Flexible Printed Electronics MEMS VLSI Design and Implementation Microcontroller and FPGA Implementation Embedded Real Time Operating Systems Cloud Computing in Embedded System Development Digital Filter Design Digital Signal Processing and Applications Image and Multidimensional Signal Processing Embedded Systems in Multimedia, Related fields