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.
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