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ISPASS
2009
IEEE
15 years 4 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...
CHI
2011
ACM
14 years 1 months ago
Evaluating the benefits of 3d stereo in modern video games
We present a study that investigates user performance benefits of 3D stereo in modern video games. Based on an analysis of several video games that are best suited for use with co...
Joseph J. LaViola Jr., Tad Litwiller
OSDI
2008
ACM
15 years 1 days ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
FORTE
2000
14 years 11 months ago
Systematic Performance Evaluation of Multipoint Protocols
The adventof multipoint(multicast-based) applications and the growth and complexity of the Internet has complicated network protocol design and evaluation. In this paper, we prese...
Ahmed Helmy, Sandeep K. S. Gupta, Deborah Estrin, ...
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
15 years 7 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...