H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 103 Citations 102,383 349 World Ranking 129 National Ranking 80

Research.com Recognitions

Awards & Achievements

2007 - Fellow of the American Association for the Advancement of Science (AAAS)

2006 - Fellow of the American Academy of Arts and Sciences

2006 - Member of the National Academy of Sciences

1993 - Member of the National Academy of Engineering For technical and educational contributions and leadership in the development of computational systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Programming language

His primary areas of investigation include Parallel computing, Computer architecture, Embedded system, Distributed computing and Workload. In the field of Parallel computing, his study on Embarrassingly parallel and Multi-core processor overlaps with subjects such as Scale and Matrix multiplication. His Embedded system research integrates issues from Registered memory, Dram, Computer hardware and Memory management.

His Workload research includes themes of SDET, The Internet, Artificial intelligence, Machine learning and Cloud computing. David A. Patterson has researched The Internet in several fields, including Software deployment, Computer security, Real-time computing, Systems design and Server. His work deals with themes such as Software as a service, Elasticity and Information technology, which intersect with Server.

His most cited work include:

  • Computer Architecture: A Quantitative Approach (9319 citations)
  • A view of cloud computing (7172 citations)
  • Above the Clouds: A Berkeley View of Cloud Computing (5141 citations)

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

The scientist’s investigation covers issues in Operating system, Parallel computing, Computer architecture, Embedded system and Software. His work on Operating system deals in particular with File system, RAID, Storage area network and Workstation. His Computer architecture study incorporates themes from Very-large-scale integration and Instruction set.

The subject of his Instruction set research is within the realm of Programming language. The Embedded system study combines topics in areas such as Computer hardware, Computer data storage and Disk array. His research on Software often connects related topics like Software engineering.

He most often published in these fields:

  • Operating system (12.85%)
  • Parallel computing (11.33%)
  • Computer architecture (10.68%)

What were the highlights of his more recent work (between 2012-2021)?

  • Cloud computing (6.10%)
  • Instruction set (8.28%)
  • Software (9.15%)

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

His primary areas of study are Cloud computing, Instruction set, Software, Parallel computing and Computer hardware. In his study, which falls under the umbrella issue of Cloud computing, Efficient energy use and Benchmark is strongly linked to Distributed computing. The concepts of his Instruction set study are interwoven with issues in Computer architecture and Compiler.

His work deals with themes such as Benchmarking, Genomics, Software engineering, Data science and Big data, which intersect with Software. The various areas that David A. Patterson examines in his Parallel computing study include Breadth-first search, Row, Central processing unit and Image processor. His Computer hardware research incorporates elements of Multi-core processor, Array data structure and Cache.

Between 2012 and 2021, his most popular works were:

  • In-Datacenter Performance Analysis of a Tensor Processing Unit (2070 citations)
  • Toil enables reproducible, open source, big biomedical data analyses (261 citations)
  • The GAP Benchmark Suite (146 citations)

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

  • Operating system
  • Central processing unit
  • Programming language

David A. Patterson spends much of his time researching Software, Cloud computing, RISC-V, Parallel computing and Instruction set. David A. Patterson has included themes like Benchmarking, Software deployment, Biomedical data and Data science in his Software study. He combines subjects such as Supercomputer, Dataflow, Scheduling, Speedup and Big data with his study of Cloud computing.

His Parallel computing research includes elements of Depth-first search, Central processing unit and Throughput. His Instruction set research is multidisciplinary, incorporating perspectives in Computer architecture and Volume. In his study, Efficient energy use is strongly linked to Computational science, which falls under the umbrella field of Architecture.

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

Computer Architecture: A Quantitative Approach

John L. Hennessy;David A. Patterson.
(1969)

17532 Citations

A view of cloud computing

Michael Armbrust;Armando Fox;Rean Griffith;Anthony D. Joseph.
Communications of The ACM (2010)

14055 Citations

Above the Clouds: A Berkeley View of Cloud Computing

Michael Armbrust;Armando Fox;Rean Griffith;Anthony D. Joseph.
Science (2009)

8882 Citations

A case for redundant arrays of inexpensive disks (RAID)

David A. Patterson;Garth Gibson;Randy H. Katz.
international conference on management of data (1988)

4327 Citations

Computer Organization and Design: the Hardware/Software Interface

David A. Patterson;John L. Hennessy.
(1993)

4090 Citations

The Landscape of Parallel Computing Research: A View from Berkeley

Krste Asanovic;Ras Bodik;Bryan Christopher Catanzaro;Joseph James Gebis.
(2006)

2734 Citations

LogP: towards a realistic model of parallel computation

David Culler;Richard Karp;David Patterson;Abhijit Sahay.
acm sigplan symposium on principles and practice of parallel programming (1993)

2310 Citations

In-Datacenter Performance Analysis of a Tensor Processing Unit

Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson.
international symposium on computer architecture (2017)

1857 Citations

RAID: high-performance, reliable secondary storage

Peter M. Chen;Edward K. Lee;Garth A. Gibson;Randy H. Katz.
ACM Computing Surveys (1994)

1836 Citations

Roofline: an insightful visual performance model for multicore architectures

Samuel Williams;Andrew Waterman;David Patterson.
Communications of The ACM (2009)

1802 Citations

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Rajkumar Buyya

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Huazhong University of Science and Technology

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University of Bologna

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Randy H. Katz

University of California, Berkeley

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Remzi H. Arpaci-Dusseau

Remzi H. Arpaci-Dusseau

University of Wisconsin–Madison

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Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

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University of California, Irvine

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ETH Zurich

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