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» Data parallel programming in an adaptive environment
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EVOW
2012
Springer
12 years 3 months ago
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, ...
IPPS
1996
IEEE
13 years 11 months ago
An Adaptive Approach to Data Placement
Programming distributed-memory machines requires careful placement of datato balance the computationalload among the nodes and minimize excess data movement between the nodes. Mos...
David K. Lowenthal, Gregory R. Andrews
IPPS
1998
IEEE
13 years 11 months ago
Performance Prediction in Production Environments
Accurate performance predictions are difficult to achieve for parallel applications executing on production distributed systems. Conventional point-valued performance parameters a...
Jennifer M. Schopf, Francine Berman
IUI
2000
ACM
13 years 12 months ago
APE: learning user's habits to automate repetitive tasks
The APE (Adaptive Programming Environment) project focuses on applying Machine Learning techniques to embed a software assistant into the VisualWorks Smalltalk interactive program...
Jean-David Ruvini, Christophe Dony
QRE
2010
129views more  QRE 2010»
13 years 5 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry