High-performance Computer Architecture PDF Download

Author: Harold S. Stone
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 411

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Author: Victor Eijkhout
Publisher: Lulu.com
ISBN: 1257992546
Category : Computers
Languages : en
Pages : 536

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Book Description
This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.

Author: Junichiro Makino
Publisher: Springer Nature
ISBN: 3030768716
Category : Computers
Languages : en
Pages : 167

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Book Description
This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many textbooks on the design of processors we do not have a widely accepted definition of the efficiency of a general-purpose computer architecture. Without a definition of the efficiency, it is difficult to make scientific approach to the processor design. In this book, a clear definition of efficiency is given and thus a scientific approach for processor design is made possible. In chapter 2, the history of the development of high-performance processor is overviewed, to discuss what quantity we can use to measure the efficiency of these processors. The proposed quantity is the ratio between the minimum possible energy consumption and the actual energy consumption for a given application using a given semiconductor technology. In chapter 3, whether or not this quantity can be used in practice is discussed, for many real-world applications. In chapter 4, general-purpose processors in the past and present are discussed from this viewpoint. In chapter 5, how we can actually design processors with near-optimal efficiencies is described, and in chapter 6 how we can program such processors. This book gives a new way to look at the field of the design of high-performance processors.

Author: Hojjat Adeli
Publisher: CRC Press
ISBN: 9780849320910
Category : Computers
Languages : en
Pages : 270

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Book Description
High-performance multiprocessor computers provide new and interesting opportunities to solve large-scale structural engineering problems. However, the development of new computational models and algorithms that exploit the unique architecture of these machines remains a challenge. High Performance Computing in Structural Engineering explores the use of supercomputers with vectorization and parallel processing capabilities in structural engineering applications. The book focuses on the optimization of large structures subjected to the complicated, implicit, and discontinuous constraints of commonly used design codes and presents robust parallel-algorithms for analysis of these structures. The authors apply the algorithms to and analyze the performance of minimum weight designs of large, steel space trusses and moment-resisting frames, with or without bracings, consisting of discrete standard shapes. They clearly show that adroit and judicious use of vectorization techniques can improved the speedup of an optimization algorithm, and that parallel processing can lead to even further speedup. With its review of the necessary background material, generous illustrations, and unique content, this is the definitive resource for the analysis and optimization of structure on shared-memory multiprocessor computers. By extension, High Performance Computing in Structural Engineering will prove equally valuable in distributed computing on a cluster of workstations

Author: Georg Hager
Publisher: CRC Press
ISBN: 1439811938
Category : Computers
Languages : en
Pages : 350

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Book Description
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

Author: IBBETT
Publisher: Springer Science & Business Media
ISBN: 1475767153
Category : Computers
Languages : en
Pages : 177

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Book Description
Introduction 1. 1 Historical Developments 1 1. 2 Techniques for Improving Performance 2 1. 3 An Architectural Design Example 3 2 Instructions and Addresses 2. 1 Three-address Systems - The CDC 6600 and 7600 7 2. 2 Two-address Systems - The IBM System/360 and /370 10 2. 3 One-address Systems 12 2. 4 Zero-address Systems 15 2. 5 The MU5 Instruction Set 17 2. 6 Comparing Instruction Formats 22 3 Storage Hierarcbies 3. 1 Store Interleaving 26 3. 2 The Atlas Paging System 29 3. 3 IBM Cache Systems 33 3. 4 The MU5 Name Store 37 3. 5 Data Transfers in the MU5 Storage Hierarchy 44 4 Pipelines 4. 1 The MU5 Primary Operand Unit Pipeline 49 4. 2 Arithmetic Pipelines - The TI ASC 62 4. 3 The IBM System/360 Model 91 Common Data Bus 67 5 Instruction Buffering 5. 1 The IBM System/360 Model 195 Instruction Processor 72 5. 2 Instruction Buffering in CDC Computers 77 5. 3 The MU5 Instruction Buffer Unit 82 5. 4 The CRAY-1 Instruction Buffers 87 5. 5 Position of the Control Point 89 6 Parallel Functional Units 6. 1 The CDC 6600 Central Processor 95 6. 2 The CDC 7600 Central Processor 104 6. 3 Performance 110 6 • 4 The CRA Y-1 112 7 Vector Processors 7. 1 Vector Facilities in MU5 126 7. 2 String Operations in MU5 136 7. 3 The CDC Star-100 142 7. 4 The CDC CYBER 205 146 7.

Author: Charles Severance
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages :

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Book Description

Author: Rajkumar Buyya
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 904

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Book Description
An authoritative guide to today's revolution in "commodity supercomputing, " this book brings together more than 100 of the field's leading practitioners, providing a single source for up-to-the-minute information on virtually every key system issue associated with high-performance cluster computing.

Author: Wim Vanderbauwhede
Publisher: Springer Science & Business Media
ISBN: 1461417910
Category : Technology & Engineering
Languages : en
Pages : 798

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Book Description
High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of architectures, tools and applications for High-Performance Reconfigurable Computing (HPRC). FPGAs offer very high I/O bandwidth and fine-grained, custom and flexible parallelism and with the ever-increasing computational needs coupled with the frequency/power wall, the increasing maturity and capabilities of FPGAs, and the advent of multicore processors which has caused the acceptance of parallel computational models. The Part on architectures will introduce different FPGA-based HPC platforms: attached co-processor HPRC architectures such as the CHREC’s Novo-G and EPCC’s Maxwell systems; tightly coupled HRPC architectures, e.g. the Convey hybrid-core computer; reconfigurably networked HPRC architectures, e.g. the QPACE system, and standalone HPRC architectures such as EPFL’s CONFETTI system. The Part on Tools will focus on high-level programming approaches for HPRC, with chapters on C-to-Gate tools (such as Impulse-C, AutoESL, Handel-C, MORA-C++); Graphical tools (MATLAB-Simulink, NI LabVIEW); Domain-specific languages, languages for heterogeneous computing(for example OpenCL, Microsoft’s Kiwi and Alchemy projects). The part on Applications will present case from several application domains where HPRC has been used successfully, such as Bioinformatics and Computational Biology; Financial Computing; Stencil computations; Information retrieval; Lattice QCD; Astrophysics simulations; Weather and climate modeling.

Author: Andrew A. Chien
Publisher: Cambridge University Press
ISBN: 1009008382
Category : Computers
Languages : en
Pages : 266

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Book Description
The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.