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» A Predictive Performance Model for Superscalar Processors
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ISCA
1995
IEEE
110views Hardware» more  ISCA 1995»
15 years 3 months ago
Instruction Cache Fetch Policies for Speculative Execution
Current trends in processor design are pointing to deeper and wider pipelines and superscalar architectures. The efficient use of these resources requires speculative execution, ...
Dennis Lee, Jean-Loup Baer, Brad Calder, Dirk Grun...
ISCA
2010
IEEE
247views Hardware» more  ISCA 2010»
15 years 3 months ago
An integrated GPU power and performance model
GPU architectures are increasingly important in the multi-core era due to their high number of parallel processors. Performance optimization for multi-core processors has been a c...
Sunpyo Hong, Hyesoon Kim
ICPP
2006
IEEE
15 years 5 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
ICPPW
2005
IEEE
15 years 5 months ago
Performance Prophet: A Performance Modeling and Prediction Tool for Parallel and Distributed Programs
High-performance computing is essential for solving large problems and for reducing the time to solution for a single problem. Current top high-performance computing systems conta...
Sabri Pllana, Thomas Fahringer
ISCA
1998
IEEE
102views Hardware» more  ISCA 1998»
15 years 4 months ago
Dynamic History-length Fitting: A Third Level of Adaptivity for Branch Prediction
Accurate branch prediction is essential for obtaining high performance in pipelined superscalar processors that execute instructions speculatively. Some of the best current predic...
Toni Juan, Sanji Sanjeevan, Juan J. Navarro