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DCC
2009
IEEE
14 years 8 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
14 years 1 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
14 years 1 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
14 years 1 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
14 years 1 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...