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» Clustering performance data efficiently at massive scales
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104
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ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
14 years 10 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
107
Voted
SIGCOMM
1996
ACM
15 years 4 months ago
Multicasting Protocols for High-Speed, Wormhole-Routing Local Area Networks
Wormhole routing LANs are emerging as an effective solution for high-bandwidth, low-latency interconnects in distributed computing and cluster computing applications. An important...
Mario Gerla, Prasasth Palnati, Simon Walton
103
Voted
HPCA
2009
IEEE
16 years 1 months ago
Techniques for bandwidth-efficient prefetching of linked data structures in hybrid prefetching systems
Linked data structure (LDS) accesses are critical to the performance of many large scale applications. Techniques have been proposed to prefetch such accesses. Unfortunately, many...
Eiman Ebrahimi, Onur Mutlu, Yale N. Patt
JFR
2010
119views more  JFR 2010»
14 years 7 months ago
Unsupervised classification of dynamic obstacles in urban environments
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Roman Katz, Juan Nieto, Eduardo Mario Nebot
142
Voted
CCGRID
2010
IEEE
14 years 10 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...