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Performance modeling in parallel computer architecture design

Performance modeling in parallel computer architecture design PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 335

Book Description


Performance modeling in parallel computer architecture design

Performance modeling in parallel computer architecture design PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 335

Book Description


Performance Modeling for Computer Architects

Performance Modeling for Computer Architects PDF Author: C. M. Krishna
Publisher: John Wiley & Sons
ISBN: 9780818670947
Category : Computers
Languages : en
Pages : 408

Book Description
As computers become more complex, the number and complexity of the tasks facing the computer architect have increased. Computer performance often depends in complex way on the design parameters and intuition that must be supplemented by performance studies to enhance design productivity. This book introduces computer architects to computer system performance models and shows how they are relatively simple, inexpensive to implement, and sufficiently accurate for most purposes. It discusses the development of performance models based on queuing theory and probability. The text also shows how they are used to provide quick approximate calculations to indicate basic performance tradeoffs and narrow the range of parameters to consider when determining system configurations. It illustrates how performance models can demonstrate how a memory system is to be configured, what the cache structure should be, and what incremental changes in cache size can have on the miss rate. A particularly deep knowledge of probability theory or any other mathematical field to understand the papers in this volume is not required.

Advanced Computer Performance Modeling and Simulation

Advanced Computer Performance Modeling and Simulation PDF Author: Kallol Bagchi
Publisher: CRC Press
ISBN: 9789056995690
Category : Computers
Languages : en
Pages : 360

Book Description
Addresses the major issues involved in computer design and architectures. Dealing primarily with theory, tools, and techniques as related to advanced computer systems, it provides tutorials and surveys and relates new important research results. Each chapter provides background information, describes and analyzes important work done in the field, and provides important direction to the reader on future work and further readings. The topics covered include hierarchical design schemes, parallel and distributed modeling and simulation, parallel simulation tools and techniques, theoretical models for formal and performance modeling, and performance evaluation techniques.

Programming Models for Parallel Computing

Programming Models for Parallel Computing PDF Author: Pavan Balaji
Publisher: MIT Press
ISBN: 0262528819
Category : Computers
Languages : en
Pages : 488

Book Description
An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng

Parallel Computer Architecture

Parallel Computer Architecture PDF Author: David Culler
Publisher: Gulf Professional Publishing
ISBN: 1558603433
Category : Computers
Languages : en
Pages : 1056

Book Description
This book outlines a set of issues that are critical to all of parallel architecture--communication latency, communication bandwidth, and coordination of cooperative work (across modern designs). It describes the set of techniques available in hardware and in software to address each issues and explore how the various techniques interact.

Computer Architecture Performance Evaluation Methods

Computer Architecture Performance Evaluation Methods PDF Author: Lieven Eeckhout
Publisher: Morgan & Claypool Publishers
ISBN: 1608454673
Category : Computers
Languages : en
Pages : 129

Book Description
The goal of this book is to present an overview of the current state-of-the-art in computer architecture performance evaluation. The book covers various aspects that relate to performance evaluation, ranging from performance metrics, to workload selection, to various modeling approaches such as analytical modeling and simulation. And because simulation is by far the most prevalent modeling technique in computer architecture evaluation, the book spends more than half its content on simulation, covering an overview of the various simulation techniques in the computer designer's toolbox, followed by various simulation acceleration techniques such as sampled simulation, statistical simulation, and parallel and hardware-accelerated simulation. The evaluation methods described in this book have a primary focus on performance. Although performance remains to be a key design target, it no longer is the sole design target. Power consumption and reliability have quickly become primary design concerns, and today they probably are as important as performance. Other important design constraints relate to cost, thermal issues, yield, etc. This book focuses on performance evaluation methods only. This does not compromise on the importance and general applicability of the techniques described in this book because power and reliability models are typically integrated into existing performance models. These integrated models pose similar challenges to the ones handled in this book. The book also focuses on presenting fundamental concepts and ideas. The book does not provide much quantitative data. Although quantitative data is crucial to performance evaluation, to understand the fundamentals of performance evaluation methods it is not. Moreover, quantitative data from different sources may be hard to compare, and may even be misleading, because the contexts in which the results were obtained may be very different - a comparison based on these numbe

Parallel Computing

Parallel Computing PDF Author: Barbara Chapman
Publisher: IOS Press
ISBN: 1607505290
Category : Computers
Languages : en
Pages : 760

Book Description
From Multicores and GPUs to Petascale. Parallel computing technologies have brought dramatic changes to mainstream computing the majority of todays PCs, laptops and even notebooks incorporate multiprocessor chips with up to four processors. Standard components are increasingly combined with GPUs Graphics Processing Unit, originally designed for high-speed graphics processing, and FPGAs Free Programmable Gate Array to build parallel computers with a wide spectrum of high-speed processing functions. The scale of this powerful hardware is limited only by factors such as energy consumption and thermal control. However, in addition to"

Advanced Computer Architecture and Parallel Processing

Advanced Computer Architecture and Parallel Processing PDF Author: Hesham El-Rewini
Publisher: John Wiley & Sons
ISBN: 0471478393
Category : Computers
Languages : en
Pages : 288

Book Description
Computer architecture deals with the physical configuration, logical structure, formats, protocols, and operational sequences for processing data, controlling the configuration, and controlling the operations over a computer. It also encompasses word lengths, instruction codes, and the interrelationships among the main parts of a computer or group of computers. This two-volume set offers a comprehensive coverage of the field of computer organization and architecture.

Parallel Computer Organization and Design

Parallel Computer Organization and Design PDF Author: Michel Dubois
Publisher: Cambridge University Press
ISBN: 0521886759
Category : Computers
Languages : en
Pages : 561

Book Description
A design-oriented text for advanced computer architecture courses, covering parallelism, complexity, power, reliability and performance.

Performance Modeling and Design of Computer Systems

Performance Modeling and Design of Computer Systems PDF Author: Mor Harchol-Balter
Publisher: Cambridge University Press
ISBN: 1107027500
Category : Computers
Languages : en
Pages : 573

Book Description
Written with computer scientists and engineers in mind, this book brings queueing theory decisively back to computer science.