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DCC
2009
IEEE
16 years 6 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
DASC
2006
IEEE
15 years 12 months ago
Thermal-Aware Task Scheduling to Minimize Energy Usage of Blade Server Based Datacenters
Blade severs are being increasingly deployed in modern datacenters due to their high performance/cost ratio and compact size. In this study, we document our work on blade server b...
Qinghui Tang, Sandeep K. S. Gupta, Daniel Stanzion...
CCGRID
2005
IEEE
15 years 11 months ago
Mapping DAG-based applications to multiclusters with background workload
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous system, a DAG mapping policy is often enacted. After mapping, the tasks (in the DAG...
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, D...
EMSOFT
2005
Springer
15 years 11 months ago
AutoDVS: an automatic, general-purpose, dynamic clock scheduling system for hand-held devices
We present AutoDVS, a dynamic voltage scaling (DVS) system for hand-held computers. Unlike extant DVS systems, AutoDVS distinguishes common, course-grain, program behavior and cou...
Selim Gurun, Chandra Krintz
SIGCOMM
2004
ACM
15 years 11 months ago
Vivaldi: a decentralized network coordinate system
Large-scale Internet applications can benefit from an ability to predict round-trip times to other hosts without having to contact them first. Explicit measurements are often un...
Frank Dabek, Russ Cox, M. Frans Kaashoek, Robert M...