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» Predicting risk of software changes
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101
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ICS
1989
Tsinghua U.
15 years 4 months ago
Control flow optimization for supercomputer scalar processing
Control intensive scalar programs pose a very different challenge to highly pipelined supercomputers than vectorizable numeric applications. Function call/return and branch instru...
Pohua P. Chang, Wen-mei W. Hwu
96
Voted
CCGRID
2001
IEEE
15 years 4 months ago
NwsAlarm: A Tool for Accurately Detecting Resource Performance Degradation
End-users of high-performance computing resources have come to expect that consistent levels of performance be delivered to their applications. The advancement of the Computationa...
Chandra Krintz, Richard Wolski
ERCIM
2007
124views more  ERCIM 2007»
15 years 11 days ago
Cancer Treatment Planning with Grid-Based Technology
sented by abstract mathematical structures, and visualization is used to convert these into pictures. At the core of every simulation is a mathematical model that is evaluated by a...
Robert G. Belleman, Michael Scarpa, Bram Stolk
195
Voted
BIOINFORMATICS
2011
14 years 4 months ago
ProDy: Protein Dynamics Inferred from Theory and Experiments
Summary: We developed a Python package, ProDy, for structurebased analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heteroge...
Ahmet Bakan, Lidio M. Meireles, Ivet Bahar
116
Voted
ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
15 years 5 months ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...