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» A performance prediction model for the CUDA GPGPU platform
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EUROPAR
2006
Springer
13 years 11 months ago
Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels
Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the c...
Sadaf R. Alam, Jeffrey S. Vetter
EUROSYS
2009
ACM
14 years 4 months ago
Koala: a platform for OS-level power management
Managing the power consumption of computing platforms is a complicated problem thanks to a multitude of hardware configuration options and characteristics. Much of the academic r...
David C. Snowdon, Etienne Le Sueur, Stefan M. Pett...
IPPS
2000
IEEE
14 years 4 days ago
Predicting Performance on SMPs. A Case Study: The SGI Power Challenge
We study the issue of performance prediction on the SGIPower Challenge, a typical SMP. On such a platform, the cost of memory accesses depends on their locality and on contention ...
Nancy M. Amato, Jack Perdue, Mark M. Mathis, Andre...
ISPAN
1999
IEEE
14 years 1 days ago
Using Stochastic Intervals to Predict Application Behavior on Contended Resources
Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
Jennifer M. Schopf, Francine Berman
CF
2007
ACM
13 years 11 months ago
Fast compiler optimisation evaluation using code-feature based performance prediction
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
Christophe Dubach, John Cavazos, Björn Franke...