What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Software
His primary areas of study are Embedded system, Fault tolerance, Field-programmable gate array, Fault injection and Electronic engineering.
His biological study spans a wide range of topics, including Energy consumption, Logic synthesis and Software.
His Software research focuses on Parallel computing and how it relates to Thread.
His Fault tolerance research includes elements of Redundancy, Artificial neural network, Computer engineering and Reliability.
His Field-programmable gate array research includes themes of Embedded Java, Bit error rate, Static random-access memory, Microcontroller and Robustness.
His Electronic engineering study incorporates themes from Cycles per instruction, Pass transistor logic, Error detection and correction and Transient.
His most cited work include:
- On the Optimal Design of Triple Modular Redundancy Logic for SRAM-based FPGAs (206 citations)
- Making Java work for microcontroller applications (128 citations)
- Designing fault-tolerant techniques for SRAM-based FPGAs (122 citations)
What are the main themes of his work throughout his whole career to date?
Embedded system, Electronic engineering, Fault tolerance, Field-programmable gate array and Parallel computing are his primary areas of study.
Luigi Carro is interested in Microcontroller, which is a field of Embedded system.
He has researched Electronic engineering in several fields, including Analogue electronics, Electronic circuit, Signal, Mixed-signal integrated circuit and System on a chip.
The concepts of his Fault tolerance study are interwoven with issues in Soft error, Fault coverage, Redundancy, Fault injection and Error detection and correction.
The Field-programmable gate array study combines topics in areas such as Logic synthesis, Logic gate and Static random-access memory.
His work deals with themes such as Energy consumption, Binary translation and Thread, which intersect with Parallel computing.
He most often published in these fields:
- Embedded system (45.88%)
- Electronic engineering (20.49%)
- Fault tolerance (15.59%)
What were the highlights of his more recent work (between 2014-2021)?
- Embedded system (45.88%)
- Parallel computing (14.25%)
- Energy consumption (7.35%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Embedded system, Parallel computing, Energy consumption, Software and Computer engineering.
His Embedded system research is multidisciplinary, incorporating elements of Fault tolerance and Computer hardware, Memory bandwidth.
He interconnects Soft error, Fault injection and Fault coverage in the investigation of issues within Fault tolerance.
His research in Parallel computing intersects with topics in Compiler, Set, Computer memory and Memory management.
His Energy consumption research incorporates elements of Reduction and Speedup.
In his research on the topic of Software, Abstraction layer and Word error rate is strongly related with Cache.
Between 2014 and 2021, his most popular works were:
- Understanding GPU errors on large-scale HPC systems and the implications for system design and operation (90 citations)
- Analyzing and Increasing the Reliability of Convolutional Neural Networks on GPUs (45 citations)
- Inflammatory landscape of human brain tumors reveals an NFκB dependent cytokine pathway associated with mesenchymal glioblastoma (31 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
Luigi Carro spends much of his time researching Embedded system, Parallel computing, Artificial neural network, Computer engineering and Efficient energy use.
Luigi Carro undertakes interdisciplinary study in the fields of Embedded system and Flexibility through his research.
He combines subjects such as Random access memory, Set and Memory management with his study of Parallel computing.
The study incorporates disciplines such as Object detection and Computation in addition to Artificial neural network.
Supercomputer is closely connected to Reliability in his research, which is encompassed under the umbrella topic of Computer engineering.
In his research, Fault tolerance is intimately related to Fault injection, which falls under the overarching field of Convolutional neural network.
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