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HPCA
2003
IEEE
14 years 4 months ago
Dynamic Data Dependence Tracking and its Application to Branch Prediction
To continue to improve processor performance, microarchitects seek to increase the effective instruction level parallelism (ILP) that can be exploited in applications. A fundament...
Lei Chen, Steve Dropsho, David H. Albonesi
CLUSTER
2006
IEEE
13 years 10 months ago
A Performance Prediction Methodology for Data-dependent Parallel Applications
The increase in the use of parallel distributed architectures in order to solve large-scale scientific problems has generated the need for performance prediction for both determi...
Paula Cecilia Fritzsche, Concepció Roig, An...
HPDC
2002
IEEE
13 years 9 months ago
Using Kernel Couplings to Predict Parallel Application Performance
Performance models provide significant insight into the performance relationships between an application and the system used for execution. The major obstacle to developing perfor...
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Ri...
IPPS
2005
IEEE
13 years 10 months ago
Predictive Performance Modelling of Parallel Component Composition
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
CLUSTER
2007
IEEE
13 years 4 months ago
Predictive performance modelling of parallel component compositions
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such applications is therefore dependent o...
Lei Zhao, Stephen A. Jarvis