D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 53 Citations 12,255 168 World Ranking 2478 National Ranking 1322

Research.com Recognitions

Awards & Achievements

2017 - ACM Senior Member

2010 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • GNU/Linux

Luis Ceze mainly focuses on Parallel computing, Compiler, Distributed computing, Debugging and Programming language. In the subject of general Parallel computing, his work in Multiprocessing is often linked to Energy, thereby combining diverse domains of study. The Compiler study combines topics in areas such as Microarchitecture, Code, Deep learning, Artificial intelligence and Speedup.

His research on Distributed computing also deals with topics like

  • Shared memory that intertwine with fields like Multi-core processor,
  • Java which intersects with area such as Cache,
  • Memory ordering, which have a strong connection to Replication. His research investigates the connection between Debugging and topics such as Nondeterministic algorithm that intersect with problems in Runtime system. His work on Thread and Concurrency as part of general Programming language research is frequently linked to Sampling and Probabilistic database, thereby connecting diverse disciplines of science.

His most cited work include:

  • EnerJ: approximate data types for safe and general low-power computation (535 citations)
  • An Overview of the BlueGene/L Supercomputer (498 citations)
  • Neural Acceleration for General-Purpose Approximate Programs (466 citations)

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

His primary areas of study are Parallel computing, Software, Distributed computing, DNA digital data storage and Artificial intelligence. His Parallel computing research is multidisciplinary, incorporating perspectives in Multithreading and Compiler. His Compiler research is multidisciplinary, incorporating elements of Field-programmable gate array, Programmer and Code.

His research investigates the link between Software and topics such as Computer architecture that cross with problems in Scalability. His research investigates the connection with Distributed computing and areas like Debugging which intersect with concerns in Nondeterministic algorithm. His work on Deep learning as part of general Artificial intelligence research is often related to Matrix multiplication, thus linking different fields of science.

He most often published in these fields:

  • Parallel computing (24.28%)
  • Software (12.35%)
  • Distributed computing (12.35%)

What were the highlights of his more recent work (between 2018-2021)?

  • DNA (7.82%)
  • DNA digital data storage (9.88%)
  • Computer data storage (5.76%)

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

His primary scientific interests are in DNA, DNA digital data storage, Computer data storage, Artificial intelligence and DNA sequencing. His DNA research incorporates themes from Nanopore, Computational biology and Accelerated aging. Luis Ceze has included themes like Nanotechnology, Computer architecture, Digital Data Storage and Oligonucleotide in his DNA digital data storage study.

In his study, Data loss is strongly linked to Scalability, which falls under the umbrella field of Computer data storage. His work on Deep learning and Artificial neural network as part of general Artificial intelligence study is frequently connected to Matrix multiplication, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Luis Ceze usually deals with Artificial neural network and limits it to topics linked to Key and Parallel computing.

Between 2018 and 2021, his most popular works were:

  • Molecular digital data storage using DNA (80 citations)
  • High density DNA data storage library via dehydration with digital microfluidic retrieval. (37 citations)
  • Demonstration of End-to-End Automation of DNA Data Storage. (29 citations)

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

  • Operating system
  • Programming language
  • Artificial intelligence

His main research concerns DNA digital data storage, Computer data storage, DNA, Digital Data Storage and Oligonucleotide. His work is dedicated to discovering how DNA digital data storage, Nanopore are connected with Nanopore sequencing, Amplicon and Computer hardware and other disciplines. His work deals with themes such as Decoding methods, Distributed computing and Optical disc, which intersect with Computer data storage.

His DNA study incorporates themes from Accelerated aging, File size, Random access, Data retrieval and Robustness. Luis Ceze combines subjects such as Emerging technologies, Encoding, System integration, Pipeline and Massively parallel with his study of Digital Data Storage. His Oligonucleotide study combines topics in areas such as Digital data, Statistical model, Redundancy, Provisioning and Process.

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

EnerJ: approximate data types for safe and general low-power computation

Adrian Sampson;Werner Dietl;Emily Fortuna;Danushen Gnanapragasam.
programming language design and implementation (2011)

858 Citations

Neural Acceleration for General-Purpose Approximate Programs

Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger.
international symposium on microarchitecture (2012)

707 Citations

An Overview of the BlueGene/L Supercomputer

N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor.
conference on high performance computing (supercomputing) (2002)

674 Citations

Architecture support for disciplined approximate programming

Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger.
architectural support for programming languages and operating systems (2012)

524 Citations

Bulk Disambiguation of Speculative Threads in Multiprocessors

Luis Ceze;James Tuck;Josep Torrellas;Calin Cascaval.
international symposium on computer architecture (2006)

416 Citations

DMP: deterministic shared memory multiprocessing

J. Devietti;B. Lucia;L. Ceze;M. Oskin.
architectural support for programming languages and operating systems (2009)

382 Citations

CoreDet: a compiler and runtime system for deterministic multithreaded execution

Tom Bergan;Owen Anderson;Joseph Devietti;Luis Ceze.
architectural support for programming languages and operating systems (2010)

366 Citations

Approximate Storage in Solid-State Memories

Adrian Sampson;Jacob Nelson;Karin Strauss;Luis Ceze.
ACM Transactions on Computer Systems (2014)

340 Citations

TVM: an automated end-to-end optimizing compiler for deep learning

Tianqi Chen;Thierry Moreau;Ziheng Jiang;Lianmin Zheng.
operating systems design and implementation (2018)

334 Citations

POSH: a TLS compiler that exploits program structure

Wei Liu;James Tuck;Luis Ceze;Wonsun Ahn.
acm sigplan symposium on principles and practice of parallel programming (2006)

316 Citations

Best Scientists Citing Luis Ceze

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 41

Josep Torrellas

Josep Torrellas

University of Illinois at Urbana-Champaign

Publications: 37

Shan Lu

Shan Lu

University of Chicago

Publications: 37

José E. Moreira

José E. Moreira

IBM (United States)

Publications: 35

Muhammad Shafique

Muhammad Shafique

New York University Abu Dhabi

Publications: 30

Mark D. Hill

Mark D. Hill

University of Wisconsin–Madison

Publications: 28

Yanzhi Wang

Yanzhi Wang

Northeastern University

Publications: 26

Karthikeyan Sankaralingam

Karthikeyan Sankaralingam

University of Wisconsin–Madison

Publications: 25

Luca Benini

Luca Benini

University of Bologna

Publications: 23

Babak Falsafi

Babak Falsafi

École Polytechnique Fédérale de Lausanne

Publications: 23

David A. Wood

David A. Wood

University of Wisconsin–Madison

Publications: 20

Sarita V. Adve

Sarita V. Adve

University of Illinois at Urbana-Champaign

Publications: 20

Christos Kozyrakis

Christos Kozyrakis

Stanford University

Publications: 20

Martin Rinard

Martin Rinard

MIT

Publications: 20

Ion Stoica

Ion Stoica

University of California, Berkeley

Publications: 19

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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