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» Scalable computing with parallel tasks
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151
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PVLDB
2010
190views more  PVLDB 2010»
14 years 11 months ago
Efficient B-tree Based Indexing for Cloud Data Processing
A Cloud may be seen as a type of flexible computing infrastructure consisting of many compute nodes, where resizable computing capacities can be provided to different customers. T...
Sai Wu, Dawei Jiang, Beng Chin Ooi, Kun-Lung Wu
144
Voted
CLOUD
2010
ACM
15 years 9 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
147
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CLUSTER
2009
IEEE
15 years 2 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
IPPS
2007
IEEE
15 years 11 months ago
A Genetic Approach for Distributing Semantic Databases of Crowd Simulations
Last years have witnessed how crowd simulations have become an essential tool for many virtual environment applications. These applications require both rendering visually plausib...
Miguel Lozano, Juan M. Orduña, Vicente Cave...
145
Voted
IPPS
1999
IEEE
15 years 9 months ago
Exploiting Application Tunability for Efficient, Predictable Parallel Resource Management
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 th...
Fangzhe Chang, Vijay Karamcheti, Zvi M. Kedem