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2010 19th International Conference on Parallel Architectures and Compilation Techniques (PACT) (2010)
Vienna, Austria
Sept. 11, 2010 to Sept. 15, 2010
ISBN: 978-1-5090-5032-1
pp: 261-272
Sandeep Navada , Department of Electrical and Computer Engineering, North Carolina State University, USA
Niket K. Choudhary , Department of Electrical and Computer Engineering, North Carolina State University, USA
Eric Rotenberg , Department of Electrical and Computer Engineering, North Carolina State University, USA
ABSTRACT
It has become increasingly difficult to perform design space exploration (DSE) of computer systems with a short turnaround time because of exploding design spaces, increasing design complexity and long-running workloads. Researchers have used classical search/optimization techniques like simulated annealing, genetic algorithms, etc., to accelerate the DSE. While these techniques are better than an exhaustive search, a substantial amount of time must still be dedicated to DSE. This is a serious bottleneck in reducing research/development time. These techniques do not perform the DSE quickly enough, primarily because they do not leverage any insight as to how the different design parameters of a computer system interact to increase or degrade performance at a design point and treat the computer system as a “black-box”.
INDEX TERMS
simulated annealing, design space exploration, criticality model, bottleneck analysis, superscalar processors
CITATION
Sandeep Navada, Niket K. Choudhary, Eric Rotenberg, "Criticality-driven superscalar design space exploration", 2010 19th International Conference on Parallel Architectures and Compilation Techniques (PACT), vol. 00, no. , pp. 261-272, 2010, doi:
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