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.
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore : River Edge, N.J. :
Singapore University Press ; World Scientific,
©2002.
|
| Schriftenreihe: | Series on scalable computing ;
v. 4. |
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xiii, 284 pages) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9789812777430 9812777431 |
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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. | |
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| contents | 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. |
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| discipline | Informatik |
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| id | ZDB-4-EBA-ocn396412851 |
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| indexdate | 2025-04-11T08:36:23Z |
| institution | BVB |
| isbn | 9789812777430 9812777431 |
| language | English |
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| series2 | Series on scalable computing ; |
| spelling | Annual review of scalable computing / editor, Yuen Chung Kwong. Singapore : Singapore University Press ; River Edge, N.J. : World Scientific, ©2002. 1 online resource (xiii, 284 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Series on scalable computing ; v. 4 Includes bibliographical references. Print version record. 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. 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. High performance computing Research. http://id.loc.gov/authorities/subjects/sh2006001078 Supercomputers Research. Parallel processing (Electronic computers) Research. Computer engineering Research. Superinformatique Recherche. Superordinateurs Recherche. Parallélisme (Informatique) Recherche. Ordinateurs Conception et construction Recherche. COMPUTERS Hardware Mainframes & Minicomputers. bisacsh Computer engineering Research fast High performance computing Research fast Parallel processing (Electronic computers) Research fast Supercomputers Research fast Yuen, C. K. https://id.oclc.org/worldcat/entity/E39PCjwgcWhVv7p6mTk3QjBPjP http://id.loc.gov/authorities/names/n80138979 Print version: Annual review of scalable computing. Singapore : Singapore University Press ; River Edge, N.J. : World Scientific, ©2002 9789810249519 9810249519 Series on scalable computing ; v. 4. http://id.loc.gov/authorities/names/no2001045223 |
| spellingShingle | Annual review of scalable computing / Series on scalable computing ; 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. High performance computing Research. http://id.loc.gov/authorities/subjects/sh2006001078 Supercomputers Research. Parallel processing (Electronic computers) Research. Computer engineering Research. Superinformatique Recherche. Superordinateurs Recherche. Parallélisme (Informatique) Recherche. Ordinateurs Conception et construction Recherche. COMPUTERS Hardware Mainframes & Minicomputers. bisacsh Computer engineering Research fast High performance computing Research fast Parallel processing (Electronic computers) Research fast Supercomputers Research fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2006001078 |
| title | Annual review of scalable computing / |
| title_auth | Annual review of scalable computing / |
| title_exact_search | Annual review of scalable computing / |
| title_full | Annual review of scalable computing / editor, Yuen Chung Kwong. |
| title_fullStr | Annual review of scalable computing / editor, Yuen Chung Kwong. |
| title_full_unstemmed | Annual review of scalable computing / editor, Yuen Chung Kwong. |
| title_short | Annual review of scalable computing / |
| title_sort | annual review of scalable computing |
| topic | High performance computing Research. http://id.loc.gov/authorities/subjects/sh2006001078 Supercomputers Research. Parallel processing (Electronic computers) Research. Computer engineering Research. Superinformatique Recherche. Superordinateurs Recherche. Parallélisme (Informatique) Recherche. Ordinateurs Conception et construction Recherche. COMPUTERS Hardware Mainframes & Minicomputers. bisacsh Computer engineering Research fast High performance computing Research fast Parallel processing (Electronic computers) Research fast Supercomputers Research fast |
| topic_facet | High performance computing Research. Supercomputers Research. Parallel processing (Electronic computers) Research. Computer engineering Research. Superinformatique Recherche. Superordinateurs Recherche. Parallélisme (Informatique) Recherche. Ordinateurs Conception et construction Recherche. COMPUTERS Hardware Mainframes & Minicomputers. Computer engineering Research High performance computing Research Parallel processing (Electronic computers) Research Supercomputers Research |
| work_keys_str_mv | AT yuenck annualreviewofscalablecomputing |