Multiprocessor Performance Measurement and Evaluation PDF Download
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Author: Laxmi N. Bhuyan
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 496
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Book Description
Author: Laxmi N. Bhuyan
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 496
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Book Description
Author: KANG C. SHIN
Publisher:
ISBN:
Category :
Languages : en
Pages : 50
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Book Description
Author: Kristin Ann Dinsmore
Publisher:
ISBN:
Category :
Languages : en
Pages : 288
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Book Description
Author: Alan Mink
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Lieven Eeckhout
Publisher: Morgan & Claypool Publishers
ISBN: 1608454673
Category : Computers
Languages : en
Pages : 129
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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
Author: Kang G. Shin
Publisher:
ISBN:
Category : Electronic digital computers
Languages : en
Pages : 33
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Book Description
Author: Xingfu Wu
Publisher: Springer Science & Business Media
ISBN: 1461551471
Category : Computers
Languages : en
Pages : 336
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Book Description
Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability, addresses the basic metrics affecting the scalability of parallel systems, discusses scalability of parallel systems from three aspects: parallel architecture, parallel algorithm and parallel algorithm-architecture combinations, and analyzes the relations of scalability and speedup. Chapter 4 discusses the methodology of performance measurement, describes the benchmark- oriented performance test and analysis and how to measure speedup and scalability in practice. Chapter 5 analyzes the difficulties in performance prediction, discusses application-oriented and architecture-oriented performance prediction and how to predict speedup and scalability in practice. Chapter 6 discusses performance visualization techniques and tools for parallel systems from three stages: performance data collection, performance data filtering and performance data visualization, and classifies the existing performance visualization tools. Chapter 7 describes parallel compiling-based, search-based and knowledge-based performance debugging, which assists programmers to optimize the strategy or algorithm in their parallel programs, and presents visual programming-based performance debugging to help programmers identify the location and cause of the performance problem. It also provides concrete suggestions on how to modify their parallel program to improve the performance. Chapter 8 gives an overview of current interconnection networks for parallel systems, analyzes the scalability of interconnection networks, and discusses how to measure and improve network performances. Performance Evaluation, Prediction and Visualization in Parallel Systems serves as an excellent reference for researchers, and may be used as a text for advanced courses on the topic.
Author: National Research Council (U.S.). Committee on Supercomputer Performance and Development
Publisher: National Academies Press
ISBN:
Category : Supercomputers
Languages : en
Pages : 68
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Book Description
Author: Haruaki Yamazaki
Publisher:
ISBN:
Category : Multiprocessors
Languages : en
Pages : 42
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Book Description
Author: Levy Raskin
Publisher:
ISBN:
Category : Multiprocessors
Languages : en
Pages : 227
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Book Description
Technological trends in semiconductor and micro-processor development are clearly leading towards the production of a computer on a chip. In the near future such a computer module will include the equivalent of today's mini-computer with some memory. Connecting many computer-modules together will probably be a cost-effective way to build high performance computer systems. This thesis investigates and contrasts the performance of two multiple computer-module structures: a multiprocessor with shared memory and a local computer network in which all communication is via messages. Results are derived both from running benchmark applications and from performance models. Very little knowledge and experience has been gained on the performance of actual multiple processor applications. To investigate the problems and potential of these computer-module structures, a multiple processor system -- Cm** -- has been built. Firmware changes enable the emulation of both an efficient multiprocessor and a local computer network. Experiments were conducted on both types of structures to obtain performance information. Out practical methodology includes measurement of performance parameters using a set of benchmark application programs executing on Cm**, and performance models that were derived and validated - using the measurement results - and then applied for the performance investigation.
