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Annual review of scalable computing /

A collection of seven long articles, this book comprehensively discusses significant projects in scalable computing in various research organizations around the world. It represents the quantitative and qualitative growth of work in the area.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Yuen, C. K.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : River Edge, N.J. : Singapore University Press ; World Scientific, ©2002.
Colección:Series on scalable computing ; v. 4.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Annual review of scalable computing /  |c editor, Yuen Chung Kwong. 
260 |a Singapore :  |b Singapore University Press ;  |a River Edge, N.J. :  |b World Scientific,  |c ©2002. 
300 |a 1 online resource (xiii, 284 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Series on scalable computing ;  |v v. 4 
504 |a Includes bibliographical references. 
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505 0 |a 1. Experiences with shared virtual memory on system area network clusters: system simulation, implementation, and emulation. 1.1. Introduction. 1.2. Overall methodology and results. 1.3. System simulation. 1.4. System implementation. 1.5. System emulation. 1.6. Discussion on methodology. 1.7. Related work. 1.8. Conclusions -- 2. Average-case scalability analysis of parallel computations. 2.1. Introduction. 2.2. Scalability of parallel computations. 2.3. Task precedence graphs on multiprocessors. 2.4. Task interaction graphs on multicomputers. 2.5. Further research -- 3. Parallel IO prefetching and caching. 3.1. Introduction. 3.2. Formalizing the scheduling problem. 3.3. Offline prefetching and caching. 3.4. Online prefetching and caching. 3.5. Summary -- 4. A C++/tuple-lock implementation for distributed objects. 4.1. Introduction. 4.2. Tuple-lock. 4.3. Using C++. 4.4. Primitives. 4.5. Design and implementation. 4.6. Examples. 4.7. Results. 4.8. Advantages and disadvantages 4.9. Conclusion -- 5. Static data allocation and load balancing techniques for heterogeneous systems. 5.1. Introduction. 5.2. Static data allocation strategies for linear arrays. 5.3. Static data allocation strategies for geometric problems. 5.4. Master-slave tasking. 5.5. Conclusion -- 6. Building a global object space for supporting single system image on a cluster. 6.1. Introduction. 6.2. Overview of JESSICA. 6.3. Design issues of the global object space. 6.4. Factors contributing to GOS efficiency. 6.5. Performance evaluation. 6.6. Related work. 6.7. Future work. 6.8. Conclusion -- 7. A computation-centric multilocation consistency model for shared memory. 7.1. Introduction. 7.2. Computation-centric framework. 7.3. MLC: characterization. 7.4. Weakening MLC: the MLC hierarchy. 7.5. Backer is multilocation consistent. 7.6. Strengthening MLC: acquires and releases. 7.7. Related work. 7.8. Conclusion. 
520 |a A collection of seven long articles, this book comprehensively discusses significant projects in scalable computing in various research organizations around the world. It represents the quantitative and qualitative growth of work in the area. 
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700 1 |a Yuen, C. K. 
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