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CASCON
1996
160views Education» more  CASCON 1996»
14 years 10 months ago
Automatic generation of performance models for distributed application systems
Organizations have become increasingly dependent on computing systems to achieve their business goals. The performance of these systems in terms of response times and cost has a m...
M. Qin, R. Lee, Asham El Rayess, Vidar Vetland, Je...
JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
CLUSTER
2008
IEEE
14 years 9 months ago
Performance prediction with skeletons
The performance skeleton of an application is a short running program whose performance in any scenario reflects the performance of the application it represents. Specifically, th...
Sukhdeep Sodhi, Jaspal Subhlok, Qiang Xu
IPPS
2006
IEEE
15 years 3 months ago
Parallelization and performance characterization of protein 3D structure prediction of Rosetta
The prediction of protein 3D structure has become a hot research area in the post-genome era, through which people can understand a protein’s function in health and disease, exp...
Wenlong Li, Tao Wang, Eric Li, D. Baker, Li Jin, S...
EUROPAR
2006
Springer
15 years 1 months ago
PAM-SoC: A Toolchain for Predicting MPSoC Performance
In the past, research on Multiprocessor Systems-on-Chip (MPSoC) has focused mainly on increasing the available processing power on a chip, while less effort was put into specific s...
Ana Lucia Varbanescu, Henk J. Sips, Arjan J. C. va...