H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 5,095 96 World Ranking 8383 National Ranking 3905

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Computer network

His primary scientific interests are in Operating system, Energy consumption, Embedded system, Efficient energy use and Throughput. The Energy consumption study combines topics in areas such as Single-core, Integrated circuit design, Electronic engineering and Subthreshold conduction. His Single-core course of study focuses on Chip and CPU cache and Multi-core processor.

His Integrated circuit design study combines topics in areas such as Low voltage, Energy conservation, Moore's law and Low-power electronics. His Embedded system research is multidisciplinary, incorporating elements of Discrete event simulation, Computer architecture simulator, Simulation and Power system simulator for engineering. His Server study combines topics from a wide range of disciplines, such as Computer architecture, Service, Deep learning, Artificial intelligence and CUDA.

His most cited work include:

  • The M5 Simulator: Modeling Networked Systems (739 citations)
  • Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits (629 citations)
  • A survey of multicore processors (224 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Embedded system, Parallel computing, Efficient energy use, Computer hardware and Cache. Ronald G. Dreslinski interconnects Dram, Latency, Random access memory, Power management and Multi-core processor in the investigation of issues within Embedded system. His Speedup and SIMD study in the realm of Parallel computing connects with subjects such as Throughput.

Ronald G. Dreslinski has included themes like Energy consumption, Voltage, Single-core, Subthreshold conduction and Electronic engineering in his Efficient energy use study. His Energy consumption research includes themes of Controller and Energy conservation. His studies deal with areas such as Low voltage and Electrical engineering as well as Electronic engineering.

He most often published in these fields:

  • Embedded system (28.32%)
  • Parallel computing (22.12%)
  • Efficient energy use (20.35%)

What were the highlights of his more recent work (between 2017-2021)?

  • Computer architecture (11.50%)
  • Chip (6.19%)
  • Parallel computing (22.12%)

In recent papers he was focusing on the following fields of study:

Ronald G. Dreslinski mainly focuses on Computer architecture, Chip, Parallel computing, RISC-V and CMOS. His study looks at the relationship between Computer architecture and fields such as Dennard scaling, as well as how they intersect with chemical problems. His Chip study integrates concerns from other disciplines, such as Multiplication, Distributed computing and Memory hierarchy.

Parallel computing is often connected to Bottleneck in his work. His RISC-V research is multidisciplinary, incorporating perspectives in Manycore processor, Router, Giga-, Benchmark and Efficient energy use. His CMOS study is associated with Electronic engineering.

Between 2017 and 2021, his most popular works were:

  • OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator (54 citations)
  • The Celerity Open-Source 511-Core RISC-V Tiered Accelerator Fabric: Fast Architectures and Design Methodologies for Fast Chips (32 citations)
  • A 1.4 GHz 695 Giga Risc-V Inst/s 496-Core Manycore Processor With Mesh On-Chip Network and an All-Digital Synthesized PLL in 16nm CMOS (9 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Central processing unit
  • Computer network

Sparse matrix, RISC-V, Multiplication, Matrix multiplication and Massively parallel are his primary areas of study. His research integrates issues of Manycore processor, Giga- and Router in his study of RISC-V. His studies in Router integrate themes in fields like Scalability, Bandwidth and Parallel computing.

His research in Multiplication intersects with topics in Chip, Systolic array and Memory hierarchy, Cache. His Massively parallel study incorporates themes from Computer architecture, High-level synthesis, Reduced instruction set computing, Efficient energy use and Global address space. With his scientific publications, his incorporates both Computer hardware and Throughput.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The M5 Simulator: Modeling Networked Systems

N.L. Binkert;R.G. Dreslinski;L.R. Hsu;K.T. Lim.
IEEE Micro (2006)

1118 Citations

Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits

R.G. Dreslinski;M. Wieckowski;D. Blaauw;D. Sylvester.
Proceedings of the IEEE (2010)

913 Citations

A survey of multicore processors

G. Blake;R.G. Dreslinski;T. Mudge.
IEEE Signal Processing Magazine (2009)

386 Citations

Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers

Johann Hauswald;Michael A. Laurenzano;Yunqi Zhang;Cheng Li.
architectural support for programming languages and operating systems (2015)

262 Citations

PicoServer: using 3D stacking technology to enable a compact energy efficient chip multiprocessor

Taeho Kgil;Shaun D'Souza;Ali Saidi;Nathan Binkert.
architectural support for programming languages and operating systems (2006)

259 Citations

Full-system analysis and characterization of interactive smartphone applications

Anthony Gutierrez;Ronald G. Dreslinski;Thomas F. Wenisch;Trevor Mudge.
ieee international symposium on workload characterization (2011)

215 Citations

Composite Cores: Pushing Heterogeneity Into a Core

Andrew Lukefahr;Shruti Padmanabha;Reetuparna Das;Faissal M. Sleiman.
international symposium on microarchitecture (2012)

187 Citations

Catnap: energy proportional multiple network-on-chip

Reetuparna Das;Satish Narayanasamy;Sudhir K. Satpathy;Ronald G. Dreslinski.
international symposium on computer architecture (2013)

177 Citations

DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers

Johann Hauswald;Yiping Kang;Michael A. Laurenzano;Quan Chen.
international symposium on computer architecture (2015)

170 Citations

Sources of Error in Full-System Simulation

Anthony Gutierrez;Joseph Pusdesris;Ronald G. Dreslinski;Trevor N. Mudge.
international symposium on performance analysis of systems and software (2014)

142 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Ronald G. Dreslinski

Luca Benini

Luca Benini

University of Bologna

Publications: 82

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 34

Yuan Xie

Yuan Xie

University of California, Santa Barbara

Publications: 34

Lieven Eeckhout

Lieven Eeckhout

Ghent University

Publications: 30

Massoud Pedram

Massoud Pedram

University of Southern California

Publications: 30

Yanzhi Wang

Yanzhi Wang

Northeastern University

Publications: 28

Michael Karl Gschwind

Michael Karl Gschwind

Facebook (United States)

Publications: 28

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 26

Nam Sung Kim

Nam Sung Kim

University of Illinois at Urbana-Champaign

Publications: 26

Thomas F. Wenisch

Thomas F. Wenisch

University of Michigan–Ann Arbor

Publications: 26

Trevor Mudge

Trevor Mudge

University of Michigan–Ann Arbor

Publications: 26

Mateo Valero

Mateo Valero

Barcelona Supercomputing Center

Publications: 22

Gabriel H. Loh

Gabriel H. Loh

Advanced Micro Devices (Canada)

Publications: 22

Chita R. Das

Chita R. Das

Pennsylvania State University

Publications: 21

David Blaauw

David Blaauw

University of Michigan–Ann Arbor

Publications: 20

David Atienza

David Atienza

École Polytechnique Fédérale de Lausanne

Publications: 20

Something went wrong. Please try again later.