H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 59 Citations 18,133 201 World Ranking 585 National Ranking 293
Computer Science H-index 73 Citations 27,690 334 World Ranking 653 National Ranking 396

Research.com Recognitions

Awards & Achievements

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.


What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Programming language

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.

His most cited work include:

  • MiBench: A free, commercially representative embedded benchmark suite (2957 citations)
  • Razor: a low-power pipeline based on circuit-level timing speculation (1086 citations)
  • Leakage current: Moore's law meets static power (972 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Parallel computing (21.93%)
  • Embedded system (21.52%)
  • Cache (13.11%)

What were the highlights of his more recent work (between 2009-2021)?

  • Parallel computing (21.93%)
  • Embedded system (21.52%)
  • Efficient energy use (5.94%)

In recent papers he was focusing on the following fields of study:

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.

Between 2009 and 2021, his most popular works were:

  • Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits (629 citations)
  • Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge (371 citations)
  • Full-system analysis and characterization of interactive smartphone applications (154 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Central processing unit
  • Programming language

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

  • Low voltage, Low-power electronics and Telecommunications most often made with reference to Energy consumption,
  • Voltage, which have a strong connection to ARM architecture, Clock rate, Signal and Word error rate,
  • Threshold voltage that connect with fields like Silicon.

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.

Top Publications

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)

4078 Citations

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)

1545 Citations

Leakage current: Moore's law meets static power

N.S. Kim;T. Austin;D. Baauw;T. Mudge.
IEEE Computer (2003)

1471 Citations

Drowsy caches: simple techniques for reducing leakage power

Krisztián Flautner;Nam Sung Kim;Steve Martin;David Blaauw.
international symposium on computer architecture (2002)

1149 Citations

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)

913 Citations

Power: a first-class architectural design constraint

T. Mudge.
IEEE Computer (2001)

706 Citations

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)

628 Citations

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)

531 Citations

Razor: circuit-level correction of timing errors for low-power operation

D. Ernst;S. Das;S. Lee;D. Blaauw.
IEEE Micro (2004)

454 Citations

Trace-driven memory simulation: a survey

Richard Uhlig;Trevor N. Mudge.
ACM Computing Surveys (1997)

438 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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