What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Electrical engineering
Luca Benini mostly deals with Embedded system, Energy consumption, Electronic engineering, System on a chip and Power management.
His Embedded system research is multidisciplinary, relying on both Scalability, Efficient energy use and Computer architecture.
His research integrates issues of Computer hardware, Source code, Energy management, Benchmark and Systems design in his study of Energy consumption.
His Electronic engineering study combines topics from a wide range of disciplines, such as Battery, Wireless sensor network and Energy.
His biological study spans a wide range of topics, including Multiprocessing, Interconnection and Quality of service.
As a part of the same scientific family, he mostly works in the field of Power management, focusing on Real-time computing and, on occasion, Key distribution in wireless sensor networks and Distributed computing.
His most cited work include:
- Networks on chips: a new SoC paradigm (3344 citations)
- A survey of design techniques for system-level dynamic power management (1100 citations)
- NoC synthesis flow for customized domain specific multiprocessor systems-on-chip (518 citations)
What are the main themes of his work throughout his whole career to date?
Luca Benini mainly investigates Embedded system, Efficient energy use, Electronic engineering, Real-time computing and Parallel computing.
He works on Embedded system which deals in particular with System on a chip.
His Efficient energy use study frequently draws connections to adjacent fields such as Energy.
His work deals with themes such as Electrical engineering and Voltage, which intersect with Electronic engineering.
The study incorporates disciplines such as Wireless, Wireless sensor network and Wearable computer in addition to Real-time computing.
Luca Benini has researched Wireless sensor network in several fields, including Energy harvesting, Sensor node, Key distribution in wireless sensor networks, Power management and Node.
He most often published in these fields:
- Embedded system (29.85%)
- Efficient energy use (16.12%)
- Electronic engineering (11.99%)
What were the highlights of his more recent work (between 2017-2021)?
- Efficient energy use (16.12%)
- Artificial intelligence (9.06%)
- Artificial neural network (5.06%)
In recent papers he was focusing on the following fields of study:
Luca Benini mainly focuses on Efficient energy use, Artificial intelligence, Artificial neural network, Embedded system and Convolutional neural network.
His research in Efficient energy use intersects with topics in Floating point, RISC-V, Real-time computing, Microcontroller and Multi-core processor.
His work in Real-time computing covers topics such as Wireless which are related to areas like Energy harvesting.
His Artificial neural network research is multidisciplinary, incorporating perspectives in Contextual image classification and Binary number.
His Embedded system research includes elements of Energy consumption and Software.
In his research, Quantization is intimately related to Computer engineering, which falls under the overarching field of Convolutional neural network.
Between 2017 and 2021, his most popular works were:
- YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration (149 citations)
- GAP-8: A RISC-V SoC for AI at the Edge of the IoT (56 citations)
- The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-Ready 1.7-GHz 64-Bit RISC-V Core in 22-nm FDSOI Technology (53 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Electrical engineering
His primary areas of investigation include Artificial intelligence, Artificial neural network, Efficient energy use, Convolutional neural network and Microcontroller.
His Artificial neural network research also works with subjects such as
- Computer engineering, which have a strong connection to Quantization and Leverage,
- Network topology together with Contextual image classification and System on a chip,
- Supercomputer and related Node.
His Efficient energy use research includes themes of Wireless, Wireless sensor network, Wearable computer and Asynchronous communication.
Luca Benini has included themes like RISC-V, Inference, Multi-core processor and Low-power electronics in his Microcontroller study.
RISC-V is a subfield of Embedded system that Luca Benini explores.
Embedded system is frequently linked to Speedup in his study.
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