2026 Michael Taylor: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	37	8237	7940	2267	2100	118	11401

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

8237

7940

2267

2100

118

11401

Engineering and Technology

D-Index

Citations

11401

World Ranking

8237

National Ranking

2267

Overview

Michael Taylor is affiliated with the University of Washington in the United States. Their research spans across several fields, primarily including Computer Science and Engineering. Within these, Taylor's work focuses on subfields such as Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, and Computational Mathematics.

The scientist's research topics include:

Parallel Computing and Optimization Techniques
Interconnection Networks and Systems
Advanced Data Storage Technologies
Radiation Effects in Electronics
Security and Verification in Computing
Low-power high-performance VLSI design
Tensor decomposition and applications

Michael Taylor has published in a variety of notable venues, such as:

IEEE Micro
IEEE Journal of Solid-State Circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Communications of the ACM
arXiv (Cornell University)

Their recent papers include:

"BlackParrot: An Agile Open-Source RISC-V Multicore for Accelerator SoCs," published in 2020 in IEEE Micro
"A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix-Matrix Multiplication Accelerator," published in 2020 in IEEE Journal of Solid-State Circuits
"ASIC clouds," published in 2020 in Communications of the ACM
"A Tensor Processing Framework for CPU-Manycore Heterogeneous Systems," published in 2021 in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
"Chiplet Cloud: Building AI Supercomputers for Serving Large Generative Language Models," published in 2023 in arXiv (Cornell University)

Frequent collaborators in Michael Taylor's research include:

Scott Davidson
Dai Cheol Jung
Paul Gao
Chun Zhao
Bandhav Veluri

Best Publications

Autonomous driving in urban environments: Boss and the Urban Challenge

Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker

2345
Citations
The Raw microprocessor: a computational fabric for software circuits and general-purpose programs

M.B. Taylor;J. Kim;J. Miller;D. Wentzlaff

1385
Citations
Baring it all to software: Raw machines

E. Waingold;M. Taylor;D. Srikrishna;V. Sarkar

1036
Citations
Evaluation of the Raw Microprocessor: An Exposed-Wire-Delay Architecture for ILP and Streams

Michael Bedford Taylor;Walter Lee;Jason Miller;David Wentzlaff

655
Citations
Conservation cores: reducing the energy of mature computations

Ganesh Venkatesh;Jack Sampson;Nathan Goulding;Saturnino Garcia

641
Citations
Is dark silicon useful?: harnessing the four horsemen of the coming dark silicon apocalypse

Michael B. Taylor

471
Citations
Effects of central nervous system antiretroviral penetration on cognitive functioning in the ALLRT cohort.

Marlene Smurzynski;Kunling Wu;Scott Letendre;Kevin Robertson

294
Citations
Scalar operand networks: on-chip interconnect for ILP in partitioned architectures

M. Bedford Taylor;W. Lee;S. Amarasinghe;A. Agarwal

288
Citations
A landscape of the new dark silicon design regime

Michael B. Taylor

271
Citations
SD-VBS: The San Diego Vision Benchmark Suite

Sravanthi Kota Venkata;Ikkjin Ahn;Donghwan Jeon;Anshuman Gupta

263
Citations
Energy characterization of a tiled architecture processor with on-chip networks

Jason Sungtae Kim;Michael Bedford Taylor;Jason Miller;David Wentzlaff

253
Citations
The GreenDroid Mobile Application Processor: An Architecture for Silicon's Dark Future

N Goulding-Hotta;J Sampson;G Venkatesh;S Garcia

211
Citations
The Evolution of Bitcoin Hardware

Michael Bedford Taylor

206
Citations
Bitcoin and the age of bespoke silicon

Michael Bedford Taylor

206
Citations
QsCores: trading dark silicon for scalable energy efficiency with quasi-specific cores

Ganesh Venkatesh;Jack Sampson;Nathan Goulding-Hotta;Sravanthi Kota Venkata

172
Citations
Scalar operand networks

M.D. Taylor;W. Lee;S.P. Amarasinghe;A. Agarwal

159
Citations
Quantification of accuracy and precision of multi-center DTI measurements: A diffusion phantom and human brain study ☆

Tong Zhu;Rui Hu;Xing Qiu;Michael Taylor

156
Citations
A 16-issue multiple-program-counter microprocessor with point-to-point scalar operand network

M.B. Taylor;J. Kim;J. Miller;D. Wentzlaff

145
Citations
Kremlin: rethinking and rebooting gprof for the multicore age

Saturnino Garcia;Donghwan Jeon;Christopher M. Louie;Michael Bedford Taylor

142
Citations
The RAW benchmark suite: computation structures for general purpose computing

J. Babb;M. Frank;V. Lee;E. Waingold

133
Citations