What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Artificial intelligence
Mark Horowitz mostly deals with Electronic engineering, CMOS, Electrical engineering, Computer hardware and Artificial intelligence.
His Electronic engineering study combines topics in areas such as Chip, Phase-locked loop, Signal, Transceiver and Switched-mode power supply.
Mark Horowitz interconnects Die, Jitter, Multiplexer, Clock rate and Circuit design in the investigation of issues within CMOS.
His work deals with themes such as Transfer and Scaling, which intersect with Electrical engineering.
His work in Computer hardware covers topics such as Embedded system which are related to areas like Overhead, Memory bandwidth and Efficient energy use.
His Artificial intelligence research focuses on Computer vision and how it relates to Computer graphics.
His most cited work include:
- Light field photography with a hand-held plenoptic camera (1527 citations)
- EIE: efficient inference engine on compressed deep neural network (1465 citations)
- The future of wires (1307 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Electronic engineering, Computer hardware, Electrical engineering, CMOS and Integrated circuit.
His studies examine the connections between Electronic engineering and genetics, as well as such issues in Transmitter, with regards to Equalization.
He studies Transistor, a branch of Electrical engineering.
In his research, Embedded system is intimately related to Chip, which falls under the overarching field of CMOS.
Integrated circuit is closely attributed to Value in his research.
His Clock domain crossing study integrates concerns from other disciplines, such as Clock gating and Digital clock manager.
He most often published in these fields:
- Electronic engineering (34.03%)
- Computer hardware (19.62%)
- Electrical engineering (17.36%)
What were the highlights of his more recent work (between 2012-2021)?
- Computer hardware (19.62%)
- Electronic engineering (34.03%)
- Parallel computing (7.99%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computer hardware, Electronic engineering, Parallel computing, Efficient energy use and Transmitter.
He combines subjects such as Analog-to-digital converter, Jitter and Effective number of bits with his study of Computer hardware.
His work carried out in the field of Electronic engineering brings together such families of science as Analogue electronics, Piecewise linear function and Analog device.
His studies in Parallel computing integrate themes in fields like Register file and Scalability.
The concepts of his Efficient energy use study are interwoven with issues in Dram, Artificial neural network, Artificial intelligence, Image processing and Scheduling.
His Transmitter research incorporates themes from Controller, Memory controller and Integrated circuit.
Between 2012 and 2021, his most popular works were:
- EIE: efficient inference engine on compressed deep neural network (1465 citations)
- 1.1 Computing's energy problem (and what we can do about it) (646 citations)
- Forwarding metamorphosis: fast programmable match-action processing in hardware for SDN (578 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Artificial intelligence
Mark Horowitz mainly investigates Efficient energy use, Parallel computing, Computer hardware, Image processing and Dataflow.
His research on Efficient energy use also deals with topics like
- Artificial neural network that intertwine with fields like Random access memory, Static random-access memory and Dram,
- Register file that connect with fields like Memory hierarchy, Routing and Computer architecture,
- State which connect with Dark silicon, Memory management and Logic gate.
His Parallel computing research includes elements of Design space exploration, Logic synthesis, Encoder, Registered memory and Hardware architecture.
His research in Computer hardware intersects with topics in Signal lines, Error detection code, Generator, Controller and Transmitter.
The Scheduling study which covers Compiler that intersects with Embedded system.
The study incorporates disciplines such as Computer vision and Pattern recognition in addition to Artificial intelligence.
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