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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.
Contents: Hierarchical Architecture Simulation Environment Modeling Multiprocessor Architectures Instrumentation Systems for Parallel Tools A Methodology for the Performance Modeling Cache-Coherent Multiprocessors Tracing Nondeterministic Programs on Shared Memory Multiprocessors Memory Management and Speedup Issues in Pa
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The Hierarchical Architecture Simulation Environment (HASE) is a tool for modelling and simulating computer architectures. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
trace extrapolation, probabilistic synchronization, coherency operations, execution time predictions, lazy cancelation, message sendback, artificial rollback, req method, conservative parallel simulation, optimistic parallel simulation, compound coverage, cache line states, firing time distributions, state saving overhead, multiprocessor simulator, actual multiprocessor, optimistic mechanisms, benchmark workloads, rollback cost, global virtual time, abstract machine model, stochastic process algebras, target trace, sharing list, parallel discrete event simulation Key Phrases - Capitalized Phrases (CAPs): (learn more)
The Computer Journal, Lecture Notes, International Conference, New York, Markovian Process Algebra, Parallel Processing, University of Edinburgh, Computer Society Press, Dynamic Load Management Based, Winter Simulation Conference, Los Angeles, North Carolina, Computing Surveys New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The Hierarchical Architecture Simulation Environment (HASE) is a tool for modelling and simulating computer architectures. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
trace extrapolation, probabilistic synchronization, coherency operations, execution time predictions, lazy cancelation, message sendback, artificial rollback, req method, conservative parallel simulation, optimistic parallel simulation, compound coverage, cache line states, firing time distributions, state saving overhead, multiprocessor simulator, actual multiprocessor, optimistic mechanisms, benchmark workloads, rollback cost, global virtual time, abstract machine model, stochastic process algebras, target trace, sharing list, parallel discrete event simulation Key Phrases - Capitalized Phrases (CAPs): (learn more)
The Computer Journal, Lecture Notes, International Conference, New York, Markovian Process Algebra, Parallel Processing, University of Edinburgh, Computer Society Press, Dynamic Load Management Based, Winter Simulation Conference, Los Angeles, North Carolina, Computing Surveys New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 18
books:
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book
cites this book:
- Numerical Solution of Markov Chains (Probability : Pure and Applied, a Series of Textbooks and Reference Books, No 8) by William J. Stewart on page 232, and page 234
- Communicating Sequential Processes (Prentice Hall International Series in Computing Science) by C.A.R. Hoare on page 236, and page 255
- Mathematical Models in the Social Sciences by John Kemeny on page 323
- Object-Oriented Software Construction (Book/CD-ROM) (2nd Edition) (Prentice-Hall International Series in Computer Science) by Bertrand Meyer on page 200
- Algorithms for Clustering Data (Prentice Hall Advanced Reference Series : Computer Science) by Anil K. Jain on page 323
See all 18 books this book cites
- Networks for Computer Scientists and Engineers by Youlu Zheng on page 414
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