Parallel computing is becoming increasing central and mainstream, driven both by the widespread a... more Parallel computing is becoming increasing central and mainstream, driven both by the widespread availability of commodity SMP and high-pegormance cluster plat$orms, as well as the growing use of parallelism in general-purpose applications such as image recognition, virtual re- ...
... Additionally, if any Quality of Service parameters are given, the searcher script will only c... more ... Additionally, if any Quality of Service parameters are given, the searcher script will only consider applica-tions where these requirements are met.7 Other selection possibilities, eg, based on a best fit or best price principle, can easily be integrated. ...
Proceedings of the Seventh International Conference on Very Large Data Bases Volume 7, 1981
Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Di... more Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Digital Library The Guide. ...
Page 1. Appeared in the 3rd International Conference on Artificial Intelligence Applications on W... more Page 1. Appeared in the 3rd International Conference on Artificial Intelligence Applications on Wall Street, 1995. 1 CALYPSO Goes to Wall Street: A Case Study Arash Baratloo y Partha Dasgupta z Zvi M. Kedem x Dmitri Krakovsky { ...
Page 1. MODELING DYNAMICS OF DATABASES WITH RELATIONAL DISCRETE EVENT SYSTEMS AND MODELS Alexande... more Page 1. MODELING DYNAMICS OF DATABASES WITH RELATIONAL DISCRETE EVENT SYSTEMS AND MODELS Alexander Tuzhilin Zvi M. Kedem Department of Information, Operations, and Management Sciences Leonard N. Stern School of Business, New York University ...
... I would like to thank my parents, Chin-Yung Lin and Yeh San-May Lin, for v Page 6. their unco... more ... I would like to thank my parents, Chin-Yung Lin and Yeh San-May Lin, for v Page 6. their unconditional support over the years. I would like to thank my father-in-law, Bor-Jen Wu, and my mother-in-law, Wen-Hao Lian, for taking good care of my daughter during the time I studied. ...
ABSTRACT Parallel computing is becoming increasing central and mainstream, driven both by the wid... more ABSTRACT Parallel computing is becoming increasing central and mainstream, driven both by the widespread availability of commodity SMP and high-performance cluster platforms, as well as the growing use of parallelism in general-purpose applications such as image recognition, virtual reality, and media processing. In addition to performance requirements, the latter computations impose soft real-time constraints, necessitating efficient, predictable parallel resource management. In this paper we propose a novel approach for increasing parallel system utilization while meeting application soft real-time deadlines. Our approach exploits the application tunability found in several general-purpose computations. Tunability refers to an application's ability to trade off resource requirements over time, while maintaining a desired level of output quality. We first describe language extensions to support tunability in the Calypso system, then characterize the performance benefits of tunability, using a synthetic task system to systematically identify its benefits. Our results show that application tunability is convenient to express and can significantly improve parallel system utilization for computations with predictability requirements
Consideration is given to transforming depth p-nested for loop algorithms into q-dimensional syst... more Consideration is given to transforming depth p-nested for loop algorithms into q-dimensional systolic VLSI arrays where 1>or=q>or=p-1. Previously, there existed complete characterizations of correct transformation only for the cases where q=p-1 orq=1. This gap is filled by giving formal necessary and sufficient conditions for correct transformation of a p-nested loop algorithm into a q-dimensional systolic array for any q,1>or=q>or=p-1. Practical
Parallel computing is becoming increasing central and mainstream, driven both by the widespread a... more Parallel computing is becoming increasing central and mainstream, driven both by the widespread availability of commodity SMP and high-pegormance cluster plat$orms, as well as the growing use of parallelism in general-purpose applications such as image recognition, virtual re- ...
... Additionally, if any Quality of Service parameters are given, the searcher script will only c... more ... Additionally, if any Quality of Service parameters are given, the searcher script will only consider applica-tions where these requirements are met.7 Other selection possibilities, eg, based on a best fit or best price principle, can easily be integrated. ...
Proceedings of the Seventh International Conference on Very Large Data Bases Volume 7, 1981
Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Di... more Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Digital Library The Guide. ...
Page 1. Appeared in the 3rd International Conference on Artificial Intelligence Applications on W... more Page 1. Appeared in the 3rd International Conference on Artificial Intelligence Applications on Wall Street, 1995. 1 CALYPSO Goes to Wall Street: A Case Study Arash Baratloo y Partha Dasgupta z Zvi M. Kedem x Dmitri Krakovsky { ...
Page 1. MODELING DYNAMICS OF DATABASES WITH RELATIONAL DISCRETE EVENT SYSTEMS AND MODELS Alexande... more Page 1. MODELING DYNAMICS OF DATABASES WITH RELATIONAL DISCRETE EVENT SYSTEMS AND MODELS Alexander Tuzhilin Zvi M. Kedem Department of Information, Operations, and Management Sciences Leonard N. Stern School of Business, New York University ...
... I would like to thank my parents, Chin-Yung Lin and Yeh San-May Lin, for v Page 6. their unco... more ... I would like to thank my parents, Chin-Yung Lin and Yeh San-May Lin, for v Page 6. their unconditional support over the years. I would like to thank my father-in-law, Bor-Jen Wu, and my mother-in-law, Wen-Hao Lian, for taking good care of my daughter during the time I studied. ...
ABSTRACT Parallel computing is becoming increasing central and mainstream, driven both by the wid... more ABSTRACT Parallel computing is becoming increasing central and mainstream, driven both by the widespread availability of commodity SMP and high-performance cluster platforms, as well as the growing use of parallelism in general-purpose applications such as image recognition, virtual reality, and media processing. In addition to performance requirements, the latter computations impose soft real-time constraints, necessitating efficient, predictable parallel resource management. In this paper we propose a novel approach for increasing parallel system utilization while meeting application soft real-time deadlines. Our approach exploits the application tunability found in several general-purpose computations. Tunability refers to an application's ability to trade off resource requirements over time, while maintaining a desired level of output quality. We first describe language extensions to support tunability in the Calypso system, then characterize the performance benefits of tunability, using a synthetic task system to systematically identify its benefits. Our results show that application tunability is convenient to express and can significantly improve parallel system utilization for computations with predictability requirements
Consideration is given to transforming depth p-nested for loop algorithms into q-dimensional syst... more Consideration is given to transforming depth p-nested for loop algorithms into q-dimensional systolic VLSI arrays where 1>or=q>or=p-1. Previously, there existed complete characterizations of correct transformation only for the cases where q=p-1 orq=1. This gap is filled by giving formal necessary and sufficient conditions for correct transformation of a p-nested loop algorithm into a q-dimensional systolic array for any q,1>or=q>or=p-1. Practical
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