What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Algorithm
His primary areas of study are Embedded system, Energy consumption, Electronic engineering, Parallel computing and Cache.
His Embedded system research incorporates themes from Energy conservation, Computer hardware, Optimizing compiler, Software and Transistor.
When carried out as part of a general Energy consumption research project, his work on Dynamic voltage scaling is frequently linked to work in Register file, therefore connecting diverse disciplines of study.
His research in the fields of Integrated circuit design and Static random-access memory overlaps with other disciplines such as Scaling.
He interconnects Compiler, Algorithm design, Address bus, Chip and Binary number in the investigation of issues within Parallel computing.
His studies deal with areas such as Computer architecture and Memory architecture as well as Cache.
His most cited work include:
- Leakage current: Moore's law meets static power (972 citations)
- The design and use of simplepower: a cycle-accurate energy estimation tool (438 citations)
- Analysis of error recovery schemes for networks on chips (295 citations)
What are the main themes of his work throughout his whole career to date?
Mary Jane Irwin mainly focuses on Parallel computing, Embedded system, Energy consumption, Electronic engineering and Very-large-scale integration.
His Parallel computing study integrates concerns from other disciplines, such as Data compression and Compiler.
Particularly relevant to Memory architecture is his body of work in Embedded system.
His Energy consumption research is multidisciplinary, incorporating perspectives in Optimizing compiler and Efficient energy use.
His Electronic engineering research focuses on subjects like Low-power electronics, which are linked to Leakage.
He has included themes like Algorithm, Adder, Arithmetic and Signal processing in his Very-large-scale integration study.
He most often published in these fields:
- Parallel computing (27.22%)
- Embedded system (25.00%)
- Energy consumption (18.35%)
What were the highlights of his more recent work (between 2004-2016)?
- Embedded system (25.00%)
- Parallel computing (27.22%)
- Cache (13.51%)
In recent papers he was focusing on the following fields of study:
His main research concerns Embedded system, Parallel computing, Cache, Energy consumption and Electronic engineering.
The Embedded system study combines topics in areas such as Optimizing compiler, Compiler and Interconnection.
His Parallel computing study deals with Computer architecture intersecting with Shared memory and Field-programmable gate array.
His Cache study combines topics in areas such as Memory architecture and Latency.
Mary Jane Irwin focuses mostly in the field of Energy consumption, narrowing it down to matters related to Efficient energy use and, in some cases, Energy conservation.
Mary Jane Irwin has researched Electronic engineering in several fields, including Electronic circuit, Electrical engineering and Low-power electronics.
Between 2004 and 2016, his most popular works were:
- Analysis of error recovery schemes for networks on chips (295 citations)
- Interconnect and Thermal-aware Floorplanning for 3D Microprocessors (164 citations)
- Adaptive set pinning: managing shared caches in chip multiprocessors (112 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Algorithm
Mary Jane Irwin mainly investigates Embedded system, Energy consumption, Electronic engineering, Parallel computing and Cache.
His work carried out in the field of Embedded system brings together such families of science as Transistor, Compiler, Chip, Scheduling and Interconnection.
His Energy consumption study deals with Energy conservation intersecting with Wireless sensor network.
His Electronic engineering study incorporates themes from Negative-bias temperature instability, Reconfigurable computing and Low-power electronics.
Mary Jane Irwin combines subjects such as Face detection and Floorplan with his study of Parallel computing.
His study in Cache is interdisciplinary in nature, drawing from both Computer architecture and Memory architecture.
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