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130
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CLOUD
2010
ACM
15 years 7 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...
ICDCS
2000
IEEE
15 years 7 months ago
Coherence-based Coordinated Checkpointing for Software Distributed Shared Memory Systems
Fault-tolerant techniques that can cope with system failures in software distributed shared memory (SDSM) are essential for creating productive and highly available parallel compu...
Angkul Kongmunvattana, Santipong Tanchatchawal, Ni...
CLUSTER
2006
IEEE
15 years 6 months ago
Improving Communication Performance on InfiniBand by Using Efficient Data Placement Strategies
Despite using high-speed network interconnection systems like InfiniBand, the communication overhead for parallel applications is still high. In this paper we show, how such costs...
Robert Rex, Frank Mietke, Wolfgang Rehm, Christoph...
HPDC
2010
IEEE
15 years 3 months ago
Comparison of resource platform selection approaches for scientific workflows
Cloud computing is increasingly considered as an additional computational resource platform for scientific workflows. The cloud offers opportunity to scale-out applications from d...
Yogesh L. Simmhan, Lavanya Ramakrishnan
126
Voted
CLUSTER
2009
IEEE
15 years 9 days 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...