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Books on the topic 'Distributed shared memory'

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Published: 4 June 2021
Last updated: 25 May 2024

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1

Postavsky, Uri. Distributed compilation using distributed shared memory. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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2

Postavsky, Uri. Distributed compilation using distributed shared memory. Toronto: University of Toronto, Dept. of Computer Science, 1990.

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3

Tarek, El-Ghazawi, ed. UPC: Distributed shared memory programming. Hoboken, NJ: Wiley, 2005.

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4

Jelica, Protić, Tomaševic Milo, and Milutinović Veljko, eds. Distributed shared memory: Concepts and systems. Los Alamitos, Calif: IEEE Computer Society Press, 1998.

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5

Eva, Kühn, ed. Virtual shared memory for distributed architectures. Huntington, N.Y: Nova Science Publishers, 2001.

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6

Abandah, Gheith A. Tools for characterizing distributed shared memory applications. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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7

Gaddam, Sridhar. A distributed shared memory implementation for UNIX systems. Oxford: Oxford Brookes University, 2002.

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8

Kent, Fuchs W., and United States. National Aeronautics and Space Administration., eds. Ensuring correct rollback recovery in distributed shared memory systems. [Washington, DC: National Aeronautics and Space Administration, 1995.

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9

United States. Army Aviation Research and Technology Activity. and United States. National Aeronautics and Space Administration., eds. Distributed simulation using a real-time shared memory network. [Washington, DC: National Aeronautics and Space Administration, 1993.

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10

N, Jayasimha D., Pillay Sasi Kumar, and Lewis Research Center. Institute for Computational Mechanics in Propulsion., eds. Parallel Navier-Stokes computations on shared and distributed memory architectures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1995.

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11

N, Jayasimha D., Pillay Sasi Kumar, and Lewis Research Center. Institute for Computational Mechanics in Propulsion., eds. Parallel Navier-Stokes computations on shared and distributed memory architectures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1995.

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12

N, Jayasimha D., Pillay Sasi Kumar, and Lewis Research Center. Institute for Computational Mechanics in Propulsion., eds. Parallel Navier-Stokes computations on shared and distributed memory architectures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1995.

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13

Lo, Adley Kam Wing. Tolerating latency in software distributed shared memory systems through multithreading. Toronto: University of Toronto, Dept. of Computer Science, 1998.

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14

Li, Zongpeng. Non-blocking implementations of queues in asynchronous distributed shared-memory systems. Ottawa: National Library of Canada, 2001.

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15

Chan, Charles Quoc Cuong. Tolerating latency in software distributed shared memory systems through non-binding prefetching. Toronto: University of Toronto, Dept. of Computer Science, 1998.

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16

Schenk, Eric. Computability and complexity results for agreement problems in shared memory distributed systems. Toronto: University of Toronto, Dept. of Computer Science, 1996.

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17

Fernando Manuel Augusto da Silva. An implementation of Or-parallel prolog on a distributed shared memory architecture. Manchester: University of Manchester, 1993.

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18

Mavriplis, Dimitri J. Implementation of a parallel unstructured Euler solver on shared and distributed memory architectures. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1992.

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19

Center, Langley Research, ed. Implementation of a parallel unstructured Euler solver on shared and distributed memory architecture. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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20

Harzallah, Karim. On predicting communication delay in distributed shared memory multiprocessors: A practical modelling methodology. Toronto: University of Toronto, Dept. of Computer Science, 1996.

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21

Sorin, Daniel J. A primer on memory consistency and cache coherence. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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22

Corporation, International Business Machines. Program directory for remote spooling communications subsystem (RSCS) networking for z/VM: Function level 540, program number 5741-A05 for use with z/VM version 5 release 4. [Endicott, NY]: IBM, 2008.

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23

Yiming, Zhang, ed. Ji yu xu ni ji suan huan jing de nei cun gong xiang ji shu. [Changsha]: Guo fang ke ji da xue chu ban she, 2010.

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24

Andrew, Sohn, Biswas R, Research Institute for Advanced Computer Science (U.S.), and Universities Space Research Association, eds. HARP: A dynamic inertial spectral partitioner. Moffett, Field, CA: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

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25

Andrew, Sohn, and Biswas R, eds. HARP: A dynamic inertial spectral partitioner. Columbia, MD: Research Institute for Advanced Computer Science, 1997.

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26

ElAarag, Hala. Web Proxy Cache Replacement Strategies: Simulation, Implementation, and Performance Evaluation. London: Springer London, 2013.

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27

Heterogeneous distributed shared memory. Toronto, Ont: University of Toronto, Computer Systems Research Institute, 1990.

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28

Shared versus distributed memory multiprocessors. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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29

Sterling, Thomas, Tarek El-Ghazawi, William Carlson, and Katherine Yelick. UPC: Distributed Shared-Memory Programming. Wiley-Interscience, 2003.

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30

Sterling, Thomas, William Carlson, Tarek El-Ghazawi, and Katherine Yelick. Upc: Distributed Shared Memory Programming. Wiley & Sons, Incorporated, John, 2007.

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31

Distributed Shared Memory: Concepts and Systems. Wiley-IEEE Computer Society Pr, 1997.

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32

Radovic, Zoran. Software Techniques for Distributed Shared Memory. Uppsala Universitet, 2005.

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33

Supporting shared data structures on distributed memory architectures. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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34

Ruppert, Eric. The consensus power of shared-memory distributed systems. 2000.

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35

Sterling, Thomas, William Carlson, Tarek El-Ghazawi, and Katherine Yelick. UPC: Distributed Shared Memory Programming (Wiley Series on Parallel and Distributed Computing). Wiley-Interscience, 2005.

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36

Karkare, Ashish. The concensus problem in unreliable shared memory systems. 1990.

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37

Ensuring correct rollback recovery in distributed shared memory systems. [Washington, DC: National Aeronautics and Space Administration, 1995.

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38

Distributed simulation using a real-time shared memory network. [Washington, DC: National Aeronautics and Space Administration, 1993.

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39

An, Ho Seok. Multithreaded virtual processor on DSM. 1999.

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40

Primer on Memory Consistency and Cache Coherence: Second Edition. Morgan & Claypool Publishers, 2020.

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41

Sorin, Daniel J., Vijay Nagarajan, and Mark D. Hill. Primer on Memory Consistency and Cache Coherence: Second Edition. Morgan & Claypool Publishers, 2020.

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42

Sorin, Daniel J., Vijay Nagarajan, Mark D. Hill, Natalie Enright Jerger, and Wood David A. Primer on Memory Consistency and Cache Coherence: Second Edition. Morgan & Claypool Publishers, 2020.

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43

Allen, Michael P., and Dominic J. Tildesley. Parallel simulation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0007.

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Parallelization is essential for the effective use of modern high-performance computing facilities. This chapter summarizes some of the basic approaches that are commonly used in molecular simulation programs. The underlying shared-memory and distributed-memory architectures are explained. The concept of program threads and their use in parallelizing nested loops on a shared memory machine is described. Parallel tempering using message passing on a distributed memory machine is discussed and illustrated with an example code. Domain decomposition, and the implementation of constraints on parallel computers, are also explained.
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44

Donald, Merlin. The Evolutionary Origins of Human Cultural Memory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190230814.003.0002.

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The term cultural memory describes a group’s shared experience, skill, and knowledge that is retained and updated through time. Individual memory has its social roots in this system. Although resources are distributed across different minds in the network, they must all obey the standards of thought and behavior imposed by belonging to it. As such, no single person can carry the burden of the system alone and thus has only modest possibilities of changing it. Cultural memory has evolved in relation to embodied, narrative, and institutional modes of representation. Humans became skilled before they became articulate: The prime driver of early evolution of mind and memory was tool master rather than language. This embodied mode of cultural memory still persists (e.g., in ritual, craft, and the arts) but has been transformed with the emergence of narrative mode and later the theoretical or institutional mode, which is dominant today.
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45

Arrow, Holly, and Alexander Garinther. Thinking Together about Genocide. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198801764.003.0010.

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This chapter explores how people “think together” in dyads, small groups, and larger collectives via mutual influence that organizes shared attention and intention, collectively constructs and validates meaning, and collaboratively develops and adjusts distributed networks of learning, memory, and forgetting. It weaves together a selective review of psychological literature on socially shared and situated cognition with applications to the shared and unshared memories of survivors and killers in post-genocide Rwanda. The process and content of convergent and divergent memories about a devastating collective experience helps illuminate the practical psychological functions served by socially shared cognition.
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46

ElAarag, Hala, Sam Romano, and Jake Cobb. Web Proxy Cache Replacement Strategies: Simulation, Implementation, and Performance Evaluation. Springer, 2012.

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47

ElAarag, Hala, Sam Romano, and Jake Cobb. Web Proxy Cache Replacement Strategies. Springer, 2013.

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48

Petersen, Wesley, and Peter Arbenz. Introduction to Parallel Computing. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198515760.001.0001.

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In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines and finally to distributed memory machines. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and in some cases Fortran. This book is also ideal for practitioners and programmers.
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49

Larasati, Diyah. Crossing the Seas of Southeast Asia. Edited by Anthony Shay and Barbara Sellers-Young. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199754281.013.012.

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This chapter rearticulates the study of female citizenship and the transmission of dance among the Islamic communities of the Sama and Bajau of Southeast Asia. The research examines how indigenous people’s aesthetic practices have been shared, distributed, and passed down through internal genealogical alliances, as well as through transmission in public, internationalized space. The traditional, genealogical transmission of these practices has been disrupted and challenged by post-9/11 antiterrorism laws, which affect border crossings. Examining regulation and its consequences for society by examining the body, its geopolitical mapping, and its interconnected cultural policies among the Sama and Bajau, this research also contributes to the mapping and theorization of diaspora, the politics of memory, and “the performance of culture” to understand how the aesthetic of dance is transmitted and protected as cultural knowledge, as well as its mobility across and through the fluid borders formed by the state’s law in Southeast Asia.
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50

Bisseling, Rob H. Parallel Scientific Computation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198788348.001.0001.

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This book explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data. Furthermore, it presents a hybrid BSP approach towards new hardware developments such as hierarchical architectures with both shared and distributed memory. The book provides a full treatment of core problems in scientific computing and big data, starting from a high-level problem description, via a sequential solution algorithm to a parallel solution algorithm and an actual parallel program written in the communication library BSPlib. Numerical experiments are presented for parallel programs on modern parallel computers ranging from desktop computers to massively parallel supercomputers. The introductory chapter of the book gives a complete overview of BSPlib, so that the reader already at an early stage is able to write his/her own parallel programs. Furthermore, it treats BSP benchmarking and parallel sorting by regular sampling. The next three chapters treat basic numerical linear algebra problems such as linear system solving by LU decomposition, sparse matrix-vector multiplication (SpMV), and the fast Fourier transform (FFT). The final chapter explores parallel algorithms for big data problems such as graph matching. The book is accompanied by a software package BSPedupack, freely available online from the author’s homepage, which contains all programs of the book and a set of test programs.
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