What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Electrical engineering
Michael Wirthlin mainly investigates Field-programmable gate array, Embedded system, Reconfigurable computing, Control reconfiguration and Electronic engineering.
The Triple modular redundancy research Michael Wirthlin does as part of his general Field-programmable gate array study is frequently linked to other disciplines of science, such as Upset, therefore creating a link between diverse domains of science.
His Embedded system research is multidisciplinary, incorporating elements of Control logic, Software system, Erasable programmable logic device, Fault tolerance and Circuit reliability.
The concepts of his Reconfigurable computing study are interwoven with issues in Hardware acceleration, Computer architecture, Circuit design and Hardware architecture.
His Electronic engineering research integrates issues from Digital electronics, Time constant, Folding, Redundancy and Propagation of uncertainty.
His research in Redundancy intersects with topics in Logic synthesis and Static random-access memory.
His most cited work include:
- A dynamic instruction set computer (333 citations)
- ACTOR-ORIENTED DESIGN OF EMBEDDED HARDWARE AND SOFTWARE SYSTEMS (214 citations)
- Improving FPGA Design Robustness with Partial TMR (154 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Field-programmable gate array, Embedded system, Static random-access memory, Reconfigurable computing and Electronic engineering.
In the subject of general Field-programmable gate array, his work in Triple modular redundancy and Virtex is often linked to Control reconfiguration, thereby combining diverse domains of study.
His Embedded system study combines topics from a wide range of disciplines, such as Fault tolerance, Single event upset and Software.
His research on Reconfigurable computing frequently connects to adjacent areas such as Computer architecture.
His work carried out in the field of Electronic engineering brings together such families of science as Fpga design, Data scrubbing and Reliability.
Michael Wirthlin combines subjects such as Failure rate and Fault detection and isolation with his study of Fault injection.
He most often published in these fields:
- Field-programmable gate array (78.92%)
- Embedded system (50.81%)
- Static random-access memory (19.46%)
What were the highlights of his more recent work (between 2018-2021)?
- Field-programmable gate array (78.92%)
- Static random-access memory (19.46%)
- Embedded system (50.81%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Field-programmable gate array, Static random-access memory, Embedded system, Fault injection and Reliability engineering.
His Field-programmable gate array study is concerned with the larger field of Computer hardware.
His research integrates issues of Video processing and Real time video in his study of Static random-access memory.
His study looks at the relationship between Embedded system and topics such as Compiler, which overlap with Software and Software fault tolerance.
His Fault injection research incorporates themes from Redundancy, Microcontroller and Radiation induced.
In general Reliability engineering, his work in Triple modular redundancy is often linked to Common-mode signal linking many areas of study.
Between 2018 and 2021, his most popular works were:
- Strategies for Removing Common Mode Failures From TMR Designs Deployed on SRAM FPGAs (17 citations)
- Selective Hardening for Neural Networks in FPGAs (14 citations)
- Microcontroller Compiler-Assisted Software Fault Tolerance (5 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Electrical engineering
Michael Wirthlin mostly deals with Fault injection, Field-programmable gate array, Static random-access memory, Embedded system and Convolutional neural network.
The Fault injection study combines topics in areas such as Microarchitecture, Triple modular redundancy, Compiler and Failure rate.
The study incorporates disciplines such as Single event upset and Cloud computing in addition to Failure rate.
His study in Static random-access memory is interdisciplinary in nature, drawing from both Routing, Reliability engineering and Reduction.
He has included themes like Redundancy, Process and Fault tolerance in his Embedded system study.
His Convolutional neural network investigation overlaps with other disciplines such as Computer engineering, Quantization, MNIST database, Automotive industry and Correctness.
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