Advances in Computers

by Ali Hurson (Editor)

Overview

Advances in Computers, Volume 131 is an eclectic volume inspired by recent issues of interest in research and development in computer science and computer engineering. Chapters in this new release include eHealth: enabling technologies, opportunities, and challenges, A Perspective on Cancer Data Management using Blockchain: Progress and Challenges, Cyber Risks on IoT Platforms and Zero Trust Solutions, A Lightweight Fingerprint Liveness Detection Method for Fingerprint Authentication System, and Collaborating Fog/Edge Computing with Industry 4.0 – Architecture, Challenges and Benefits, Raspberry Pi-s for Enterprise Cybersecurity Applications. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Computers - Covers the latest innovations in research and development in computer science and computer engineering

Product Details

ISBN-13:	9780443215674
Publisher:	Elsevier Science & Technology Books
Publication date:	08/25/2023
Series:	Advances in Computers , #131
Sold by:	Barnes & Noble
Format:	eBook
Pages:	310
File size:	16 MB
Note:	This product may take a few minutes to download.

About the Author

Ali Hurson is an Electrical and Computer Engineering Professor at Missouri University of Science and Technology. His research in the past has been supported by various Government Agencies and Private industries. He has more than 350 publications in the area of databases, Computer Architecture, and Pervasive computing.

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Table of Contents

Contributors     ix
Preface     xvii
DARPA's HPCS Program: History, Models, Tools, Languages   Jack Dongarra   Robert Graybill   William Harrod   Robert Lucas   Ewing Lusk   Piotr Luszczek   Janice McMahon   Allan Snavely   Jeffrey Vetter   Katherine Yelick   Sadaf Alam   Roy Campbell   Laura Carrington   Tzu-Yi Chen   Omid Khalili   Jeremy Meredith   Mustafa Tikir
Historical Background     3
Productivity Systems Modeling     19
Productivity Evaluation on Emerging Architectures     37
The DARPA HPCS Language Project     58
Research on Defining and Measuring Productivity     69
The HPC Challenge Benchmark Suite     86
Summary: The DARPA HPCS Program     95
References     96
Productivity in High-Performance Computing   Thomas Sterling   Chirag Dekate
Introduction     102
A General Formulation     105
Factors Determining HPC Productivity     107
A Special Theory of Productivity     121
A User-based Model of Productivity     124
Software Development & Productivity     129
Related Works     131
Conclusions     133
References     134
Performance Prediction and Ranking of Supercomputers   Tzu-Yi Chen   Omid Khalili   Roy L. Campbell, Jr.   Laura Carrington   Mustafa M. Tikir   Allan Snavely
Introduction     137
Methods for Predicting Performance     139
A Method for Weighting Benchmarks     143
Examples     148
Using End-to-End Runtimes     152
Using Basic Trace Data     160
Application-Independent Rankings     163
Conclusion     168
Acknowledgments     169
References     170
Sampled Processor Simulation: A Survey   Lieven Eeckhout
Introduction     174
Trace-Driven versus Execution-Driven Simulation     176
Sampled Simulation     178
Simulation Speed     180
Representative Sampling Units     182
Architecture State     190
Microarchitecture State     195
Case Studies     214
Summary     217
Acknowledgments     217
References     217
Distributed Sparse Matrices for Very High Level Languages    John R. Gilbert   Steve Reinhardt   Viral B. Shah
Introduction     226
Sparse Matrices: A User's View     227
Data Structures and Storage     228
Operations on Distributed Sparse Matrices     230
SSCA #2 Graph Analysis Benchmark     239
Looking Forward: A Next-Generation Parallel Sparse Library     248
Conclusion     250
References     251
Bibliographic Snapshots of High-Performance/High-Productivity Computing   Myron Ginsberg
Introduction     255
Computational Environments in Government, Academia and Industry     257
References     259
Computational Science Education (CSE)     260
References     263
Supercomputing Architecture     264
References     265
Some HPC Issues     271
References     272
Benchmarking Issues and Concerns     275
References     281
Acceleration Techniques for HPC Applications     286
References     287
The Race for Petaflop Computing     292
References     300
Influences of Floating-Point Arithmetic on Computational Results     303
References      304
Industrial HPC Progress     305
References     311
Access to On-Demand HPC     314
References     315
A Few HPC Videos     315
References     316
Author Index     319
Subject Index     329
Contents of Volumes in This Series     339

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From the Publisher

Presents the latest release in a series offering detailed coverage of innovations in computer hardware, software, theory, design and applications

Editorial Reviews

Volume 34 of this important series continues the presentation of subjects of both current and continuing interest in computer and information science, with contributors offering substantial review and tutorial articles in their areas of expertise. Included in v.34 are chapters on software reuse, multisensory computer vision, parallel computer architecture, associative memory, image databases, and paradigms for information system development. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

Praise for the Series:
"Mandatory for academic libraries supporting computer science departments." —Choice

From the Publisher