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 62 Citations 21,288 203 World Ranking 1368 National Ranking 777

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2017 - Fellow of the American Academy of Arts and Sciences

2017 - Member of the National Academy of Engineering For software innovation and leadership in high-performance computing.

2015 - ACM - IEEE CS Ken Kennedy Award For advancing the programmability of HPC systems, strategic national leadership, and mentorship in academia and government labs.

2013 - ACM Athena Lecturer Award For contributions to improving fundamental understanding and practice of parallel programming.

2012 - ACM Fellow For contributions to parallel languages that improve programmer productivity.

Overview

What is she best known for?

The fields of study she is best known for:

  • Operating system
  • Programming language
  • Parallel computing

Katherine Yelick spends much of her time researching Parallel computing, Programming language, Unified Parallel C, Sparse matrix and Cache. Her work on Multi-core processor as part of general Parallel computing study is frequently linked to Context, therefore connecting diverse disciplines of science. Her Unified Parallel C research is multidisciplinary, incorporating perspectives in Compiler, Shared memory and Distributed shared memory.

The Sparse matrix-vector multiplication research Katherine Yelick does as part of her general Sparse matrix study is frequently linked to other disciplines of science, such as Kernel, therefore creating a link between diverse domains of science. Her Cache research is multidisciplinary, relying on both Kernel and Computational science. Her Programming paradigm research includes themes of Data type and Supercomputer.

Her most cited work include:

  • The Landscape of Parallel Computing Research: A View from Berkeley (1818 citations)
  • The International Exascale Software Project roadmap (580 citations)
  • A case for intelligent RAM (527 citations)

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

Her primary areas of study are Parallel computing, Programming language, Partitioned global address space, Distributed computing and Compiler. Her study in Parallel computing is interdisciplinary in nature, drawing from both Scalability, Programming paradigm and Sparse matrix. Katherine Yelick focuses mostly in the field of Programming paradigm, narrowing it down to topics relating to Supercomputer and, in certain cases, Benchmark.

Her work in Programming language addresses subjects such as SPMD, which are connected to disciplines such as Model of computation. Her study looks at the relationship between Partitioned global address space and topics such as Shared memory, which overlap with Distributed shared memory and Sequential consistency. Her Distributed computing research includes elements of Software and Data structure.

She most often published in these fields:

  • Parallel computing (54.48%)
  • Programming language (16.21%)
  • Partitioned global address space (15.17%)

What were the highlights of her more recent work (between 2015-2021)?

  • Parallel computing (54.48%)
  • Genomics (4.83%)
  • Scalability (12.41%)

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

Katherine Yelick focuses on Parallel computing, Genomics, Scalability, Parallel algorithm and Supercomputer. Katherine Yelick has included themes like Process, Graph and Overhead in her Parallel computing study. Her studies deal with areas such as Hash table and Distributed computing as well as Scalability.

Her research integrates issues of Sparse matrix, Distributed memory and Pipeline in her study of Parallel algorithm. Her work deals with themes such as Sparse approximation, Iterative reconstruction and Matrix multiplication, which intersect with Sparse matrix. In general Supercomputer, her work in Cray XK7 is often linked to Scale linking many areas of study.

Between 2015 and 2021, her most popular works were:

  • Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication (28 citations)
  • Exascale applications: skin in the game. (19 citations)
  • Extreme scale de novo metagenome assembly (16 citations)

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

  • Operating system
  • Programming language
  • Algorithm

Genomics, Parallel computing, Sequence assembly, Parallel algorithm and Data science are her primary areas of study. Katherine Yelick has researched Parallel computing in several fields, including Scalability and Sparse approximation. Her Scalability research is multidisciplinary, incorporating elements of Workload, Xeon Phi and Distributed memory.

Katherine Yelick combines subjects such as Pipeline, Supercomputer, Matrix multiplication and Sparse matrix with her study of Parallel algorithm. Her work in the fields of Supercomputer, such as Exascale computing, overlaps with other areas such as National security, Skin in the game, Exploit and Metaphor. Her studies in Data science integrate themes in fields like Profiling, Cluster analysis, Sorting, Hash function and Asynchronous communication.

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 Landscape of Parallel Computing Research: A View from Berkeley

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

2734 Citations

A case for intelligent RAM

D. Patterson;T. Anderson;N. Cardwell;R. Fromm.
IEEE Micro (1997)

933 Citations

Optimization of sparse matrix-vector multiplication on emerging multicore platforms

Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf.
conference on high performance computing (supercomputing) (2007)

884 Citations

Parallel programming in Split-C

A. Krishnamurthy;D. E. Culler;A. Dusseau;S. C. Goldstein.
conference on high performance computing (supercomputing) (1993)

846 Citations

The International Exascale Software Project roadmap

Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)

802 Citations

A view of the parallel computing landscape

Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny.
parallel computing (2009)

783 Citations

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

Kaushik Datta;Mark Murphy;Vasily Volkov;Samuel Williams.
ieee international conference on high performance computing data and analytics (2008)

751 Citations

Titanium: a high-performance Java dialect

Katherine A. Yelick;Katherine A. Yelick;Luigi Semenzato;Luigi Semenzato;Geoff Pike;Geoff Pike;Carleton Miyamoto;Carleton Miyamoto.
Concurrency and Computation: Practice and Experience (1998)

686 Citations

OSKI: A Library of Automatically Tuned Sparse Matrix Kernels

Richard Vuduc;James W Demmel;Katherine A Yelick.
Presented at: SciDAC 2005 Proceedings (Journal of Physics), San Francisco, CA, United States, Jun 26 - Jun 30, 2005 (2005)

607 Citations

The potential of the cell processor for scientific computing

Samuel Williams;John Shalf;Leonid Oliker;Shoaib Kamil.
computing frontiers (2006)

490 Citations

Best Scientists Citing Katherine Yelick

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

Publications: 138

P. Sadayappan

P. Sadayappan

University of Utah

Publications: 59

James Demmel

James Demmel

University of California, Berkeley

Publications: 50

Samuel Williams

Samuel Williams

Lawrence Berkeley National Laboratory

Publications: 45

Jeffrey S. Vetter

Jeffrey S. Vetter

Oak Ridge National Laboratory

Publications: 44

Vivek Sarkar

Vivek Sarkar

Georgia Institute of Technology

Publications: 43

Torsten Hoefler

Torsten Hoefler

ETH Zurich

Publications: 42

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 40

Enrique S. Quintana-Ortí

Enrique S. Quintana-Ortí

Universitat Politècnica de València

Publications: 40

Georg Hager

Georg Hager

University of Erlangen-Nuremberg

Publications: 40

John Shalf

John Shalf

Lawrence Berkeley National Laboratory

Publications: 39

David Padua

David Padua

University of Illinois at Urbana-Champaign

Publications: 37

Mary Hall

Mary Hall

University of Utah

Publications: 36

Dhabaleswar K. Panda

Dhabaleswar K. Panda

The Ohio State University

Publications: 35

Piotr Luszczek

Piotr Luszczek

University of Tennessee at Knoxville

Publications: 35

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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