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Scalable Shared Memory Multiprocessors

Scalable Shared Memory Multiprocessors
Author: Michel Dubois
Publisher: Springer Science & Business Media
Total Pages: 360
Release: 1992
Genre: Computers
ISBN: 9780792392194

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Mathematics of Computing -- Parallelism.


Scalable Shared Memory Multiprocessors

Scalable Shared Memory Multiprocessors
Author: Michel Dubois
Publisher: Springer Science & Business Media
Total Pages: 326
Release: 2012-12-06
Genre: Computers
ISBN: 1461536049

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The workshop on Scalable Shared Memory Multiprocessors took place on May 26 and 27 1990 at the Stouffer Madison Hotel in Seattle, Washington as a prelude to the 1990 International Symposium on Computer Architecture. About 100 participants listened for two days to the presentations of 22 invited The motivation for this workshop was to speakers, from academia and industry. promote the free exchange of ideas among researchers working on shared-memory multiprocessor architectures. There was ample opportunity to argue with speakers, and certainly participants did not refrain a bit from doing so. Clearly, the problem of scalability in shared-memory multiprocessors is still a wide-open question. We were even unable to agree on a definition of "scalability". Authors had more than six months to prepare their manuscript, and therefore the papers included in this proceedings are refinements of the speakers' presentations, based on the criticisms received at the workshop. As a result, 17 authors contributed to these proceedings. We wish to thank them for their diligence and care. The contributions in these proceedings can be partitioned into four categories 1. Access Order and Synchronization 2. Performance 3. Cache Protocols and Architectures 4. Distributed Shared Memory Particular topics on which new ideas and results are presented in these proceedings include: efficient schemes for combining networks, formal specification of shared memory models, correctness of trace-driven simulations,synchronization, various coherence protocols, .


A Primer on Memory Consistency and Cache Coherence

A Primer on Memory Consistency and Cache Coherence
Author: Daniel Sorin
Publisher: Springer Nature
Total Pages: 206
Release: 2011-05-10
Genre: Technology & Engineering
ISBN: 3031017331

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Many modern computer systems and most multicore chips (chip multiprocessors) support shared memory in hardware. In a shared memory system, each of the processor cores may read and write to a single shared address space. For a shared memory machine, the memory consistency model defines the architecturally visible behavior of its memory system. Consistency definitions provide rules about loads and stores (or memory reads and writes) and how they act upon memory. As part of supporting a memory consistency model, many machines also provide cache coherence protocols that ensure that multiple cached copies of data are kept up-to-date. The goal of this primer is to provide readers with a basic understanding of consistency and coherence. This understanding includes both the issues that must be solved as well as a variety of solutions. We present both highlevel concepts as well as specific, concrete examples from real-world systems. Table of Contents: Preface / Introduction to Consistency and Coherence / Coherence Basics / Memory Consistency Motivation and Sequential Consistency / Total Store Order and the x86 Memory Model / Relaxed Memory Consistency / Coherence Protocols / Snooping Coherence Protocols / Directory Coherence Protocols / Advanced Topics in Coherence / Author Biographies


A Primer on Memory Consistency and Cache Coherence, Second Edition

A Primer on Memory Consistency and Cache Coherence, Second Edition
Author: Vijay Nagarajan
Publisher: Springer Nature
Total Pages: 276
Release: 2022-05-31
Genre: Technology & Engineering
ISBN: 3031017641

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Many modern computer systems, including homogeneous and heterogeneous architectures, support shared memory in hardware. In a shared memory system, each of the processor cores may read and write to a single shared address space. For a shared memory machine, the memory consistency model defines the architecturally visible behavior of its memory system. Consistency definitions provide rules about loads and stores (or memory reads and writes) and how they act upon memory. As part of supporting a memory consistency model, many machines also provide cache coherence protocols that ensure that multiple cached copies of data are kept up-to-date. The goal of this primer is to provide readers with a basic understanding of consistency and coherence. This understanding includes both the issues that must be solved as well as a variety of solutions. We present both high-level concepts as well as specific, concrete examples from real-world systems. This second edition reflects a decade of advancements since the first edition and includes, among other more modest changes, two new chapters: one on consistency and coherence for non-CPU accelerators (with a focus on GPUs) and one that points to formal work and tools on consistency and coherence.


CONCUR '96: Concurrency Theory

CONCUR '96: Concurrency Theory
Author: Ugo Montanari
Publisher: Springer Science & Business Media
Total Pages: 772
Release: 1996-08-07
Genre: Computers
ISBN: 9783540616047

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This book constitutes the refereed proceedings of the 8th International Conference on Concurrency Theory, CONCUR'97. held in Warsaw, Poland, in July 1997. The 24 revised full papers presented were selected by the program committee for inclusion in the volume from a total of 41 high-quality submissions. The volume covers all current topics in the science of concurrency theory and its applications, such as reactive systems, hybrid systems, model checking, partial orders, state charts, program logic calculi, infinite state systems, verification, and others.


Scalable Shared-Memory Multiprocessing

Scalable Shared-Memory Multiprocessing
Author: Daniel E. Lenoski
Publisher: Elsevier
Total Pages: 364
Release: 2014-06-28
Genre: Computers
ISBN: 1483296016

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Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.