2016 - ACM Fellow For contributions to power aware computer architecture.
2014 - ACM - IEEE CS Eckert-Mauchly Award For pioneering contributions to low-power computer architecture and its interaction with technology.
1995 - IEEE Fellow For contributions to the design and analysis of high performance processors.
Trevor Mudge focuses on Parallel computing, Embedded system, Operating system, Dynamic voltage scaling and Cache. His research integrates issues of Microprocessor, Algorithm and Spec# in his study of Parallel computing. He combines subjects such as Computer architecture, Logic synthesis, Software-defined radio, Clock rate and SIMD with his study of Embedded system.
His Dynamic voltage scaling study incorporates themes from Real-time computing, System on a chip and Computer engineering. His Cache research integrates issues from Code bloat and Memory architecture. His Voltage research incorporates themes from Electronic engineering and Error detection and correction.
Parallel computing, Embedded system, Cache, Computer architecture and Computer hardware are his primary areas of study. Parallel computing and Algorithm are frequently intertwined in his study. His studies in Embedded system integrate themes in fields like Dram, Wireless, Software-defined radio, Software and SIMD.
Cache is a subfield of Operating system that Trevor Mudge studies. His Operating system study focuses on Translation lookaside buffer in particular. His study on Computer architecture is mostly dedicated to connecting different topics, such as Multi-core processor.
Trevor Mudge spends much of his time researching Parallel computing, Embedded system, Efficient energy use, Computer hardware and Scalability. His studies deal with areas such as Thread and Compiler as well as Parallel computing. The Embedded system study combines topics in areas such as Dram, Wireless, Digital signal processing, Mobile computing and Mobile device.
Trevor Mudge interconnects Energy consumption, Telecommunications, Low-power electronics, Voltage and Threshold voltage in the investigation of issues within Efficient energy use. His biological study spans a wide range of topics, including ARM architecture and Electronic engineering, CMOS. His Computer hardware research includes elements of Power management and Crossbar switch.
Trevor Mudge mainly focuses on Embedded system, Efficient energy use, Parallel computing, Mobile computing and Operating system. His study in Embedded system is interdisciplinary in nature, drawing from both Dram, Digital signal processing, Computer hardware, Multi-core processor and SIMD. His research on Efficient energy use also deals with topics like
In his study, Cache is strongly linked to CMOS, which falls under the umbrella field of ARM architecture. His research in the fields of Speedup overlaps with other disciplines such as Parsec. In his research on the topic of Operating system, Cache pollution is strongly related with Random access memory.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
MiBench: A free, commercially representative embedded benchmark suite
M.R. Guthaus;J.S. Ringenberg;D. Ernst;T.M. Austin.
ieee international symposium on workload characterization (2001)
Razor: a low-power pipeline based on circuit-level timing speculation
Dan Ernst;Nam Sung Kim;Shidhartha Das;Sanjay Pant.
international symposium on microarchitecture (2003)
Leakage current: Moore's law meets static power
N.S. Kim;T. Austin;D. Baauw;T. Mudge.
IEEE Computer (2003)
Drowsy caches: simple techniques for reducing leakage power
Krisztián Flautner;Nam Sung Kim;Steve Martin;David Blaauw.
international symposium on computer architecture (2002)
Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits
R.G. Dreslinski;M. Wieckowski;D. Blaauw;D. Sylvester.
Proceedings of the IEEE (2010)
Power: a first-class architectural design constraint
IEEE Computer (2001)
Combined dynamic voltage scaling and adaptive body biasing for lower power microprocessors under dynamic workloads
Steven M. Martin;Krisztian Flautner;Trevor Mudge;David Blaauw.
international conference on computer aided design (2002)
A self-tuning DVS processor using delay-error detection and correction
S. Das;D. Roberts;Seokwoo Lee;S. Pant.
IEEE Journal of Solid-state Circuits (2006)
Razor: circuit-level correction of timing errors for low-power operation
D. Ernst;S. Das;S. Lee;D. Blaauw.
IEEE Micro (2004)
Trace-driven memory simulation: a survey
Richard Uhlig;Trevor N. Mudge.
ACM Computing Surveys (1997)
Profile was last updated on December 6th, 2021.
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