What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Central processing unit
Leonel Sousa mainly focuses on Parallel computing, Biochip, Spin valve, Embedded system and Throughput.
The various areas that he examines in his Parallel computing study include Decoding methods, Low-density parity-check code, Very-large-scale integration and Cryptography.
His studies in Biochip integrate themes in fields like Biosensor, Microsystem, Spectrum analyzer and Reading.
His Spin valve study is associated with Magnetoresistance.
His Embedded system research is multidisciplinary, incorporating perspectives in Digital signal processing and Computer hardware.
His biological study spans a wide range of topics, including Orders of magnitude and Sensitivity.
His most cited work include:
- Communication contention in task scheduling (150 citations)
- Femtomolar limit of detection with a magnetoresistive biochip. (90 citations)
- Femtomolar limit of detection with a magnetoresistive biochip. (90 citations)
What are the main themes of his work throughout his whole career to date?
Leonel Sousa spends much of his time researching Parallel computing, Embedded system, Field-programmable gate array, Residue number system and Motion estimation.
Leonel Sousa regularly links together related areas like Decoding methods in his Parallel computing studies.
He has included themes like Scalability, Distributed computing, Cryptography, Encoder and Software in his Embedded system study.
His work deals with themes such as Computer architecture, Computation and Application-specific integrated circuit, which intersect with Field-programmable gate array.
His Residue number system study incorporates themes from Converters, Modular arithmetic and Modulo.
His Motion estimation research is multidisciplinary, incorporating elements of Pixel, Real-time computing, Estimator and Computer hardware.
He most often published in these fields:
- Parallel computing (30.22%)
- Embedded system (14.56%)
- Field-programmable gate array (14.01%)
What were the highlights of his more recent work (between 2016-2021)?
- Parallel computing (30.22%)
- Residue number system (10.99%)
- Arithmetic (6.32%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Parallel computing, Residue number system, Arithmetic, Artificial intelligence and Cache.
Leonel Sousa has researched Parallel computing in several fields, including Decoding methods, Frame rate and Kernel.
His work carried out in the field of Residue number system brings together such families of science as Sign, Converters, Application-specific integrated circuit and Integer.
As a part of the same scientific family, Leonel Sousa mostly works in the field of Arithmetic, focusing on Modulo and, on occasion, Modular design.
His research integrates issues of Instruction set and Speedup in his study of Multi-core processor.
His research investigates the link between Energy consumption and topics such as Scheduling that cross with problems in Embedded system.
Between 2016 and 2021, his most popular works were:
- A Survey on Fully Homomorphic Encryption: An Engineering Perspective (49 citations)
- Exploring GPU performance, power and energy-efficiency bounds with Cache-aware Roofline Modeling (22 citations)
- Performance and power modeling and evaluation of virtualized servers in IaaS clouds (19 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Central processing unit
His main research concerns Arithmetic, Residue number system, Cache, Parallel computing and Modulo.
His Arithmetic research focuses on subjects like Digital signal processing, which are linked to Electronic circuit.
The study incorporates disciplines such as Application-specific integrated circuit, Integer and Product in addition to Residue number system.
His studies deal with areas such as Decoding methods, Frame rate, Frequency scaling and Random access as well as Parallel computing.
His Modulo course of study focuses on Logic gate and Modular design, Low-power electronics and Computation.
His Set study also includes fields such as
- Energy consumption and related Stencil, Multi-core processor, Scheduling and Algorithm,
- Embedded system which connect with Low-density parity-check code.
This overview was generated by a machine learning system which analysed the scientist’s
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