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ECRTS
2007
IEEE
16 years 25 days ago
Composition Techniques for Tree Communication Schedules
A critical resource in a distributed real-time system is its shared communication medium. Unrestrained concurrent access to the network can lead to collisions that reduce the syst...
Madhukar Anand, Sebastian Fischmeister, Insup Lee
ISPASS
2009
IEEE
16 years 1 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
TMI
2008
138views more  TMI 2008»
15 years 6 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ECCTD
2011
72views more  ECCTD 2011»
14 years 6 months ago
Managing variability for ultimate energy efficiency
⎯ Technology scaling is in the era where the chip performance is constrained by its power dissipation. Although the power limits vary with the application domain, they dictate th...
Borivoje Nikolic
IPPS
2003
IEEE
15 years 11 months ago
Expresso and Chips: Creating a Next Generation Microarray Experiment Management System
Expresso is an experiment management system that is designed to assist biologists in planning, executing, and interpreting microarray experiments. It serves as a unifying framewor...
Allan A. Sioson, Jonathan I. Watkinson, Cecilia Va...