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» A Predictive Performance Model for Superscalar Processors
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TVLSI
2008
150views more  TVLSI 2008»
14 years 9 months ago
Data Memory Subsystem Resilient to Process Variations
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance o...
M. Bennaser, Yao Guo, Csaba Andras Moritz
IPPS
2007
IEEE
15 years 4 months ago
Power-Aware Speedup
Power-aware processors operate in various power modes to reduce energy consumption with a corresponding decrease in peak processor throughput. Recent work has shown power-aware cl...
Rong Ge, Kirk W. Cameron
JILP
2002
83views more  JILP 2002»
14 years 9 months ago
Using Statistical and Symbolic Simulation for Microprocessor Performance Evaluation
As microprocessor designs continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models...
Mark Oskin, Frederic T. Chong, Matthew K. Farrens
ASPLOS
2010
ACM
15 years 3 months ago
Probabilistic job symbiosis modeling for SMT processor scheduling
Symbiotic job scheduling boosts simultaneous multithreading (SMT) processor performance by co-scheduling jobs that have ‘compatible’ demands on the processor’s shared resour...
Stijn Eyerman, Lieven Eeckhout
CJ
2006
84views more  CJ 2006»
14 years 9 months ago
Instruction Level Parallelism through Microthreading - A Scalable Approach to Chip Multiprocessors
Most microprocessor chips today use an out-of-order instruction execution mechanism. This mechanism allows superscalar processors to extract reasonably high levels of instruction ...
Kostas Bousias, Nabil Hasasneh, Chris R. Jesshope