His primary areas of investigation include Parallel computing, Distributed memory, ScaLAPACK, Message passing and Message Passing Interface. His Distributed memory study also includes
His research investigates the link between Workstation and topics such as Deadlock that cross with problems in Software portability. David W. Walker has researched Message Passing Interface in several fields, including Construct and Interface. As part of one scientific family, he deals mainly with the area of Construct, narrowing it down to issues related to the Supercomputer, and often Fortran.
His primary scientific interests are in Parallel computing, Distributed computing, Grid, Grid computing and Web service. David W. Walker has included themes like ScaLAPACK and Linear algebra in his Parallel computing study. His Distributed computing research is multidisciplinary, incorporating perspectives in Java, Problem solving environment and Component.
His research investigates the connection with Grid computing and areas like Quality of service which intersect with concerns in Mobile QoS and Service discovery. His research integrates issues of Service and Workflow, Database in his study of Web service. His work on Message Passing Interface as part of general Message passing study is frequently linked to Context, bridging the gap between disciplines.
David W. Walker spends much of his time researching Parallel computing, Web service, Workflow, Grid and Grid computing. As a part of the same scientific family, David W. Walker mostly works in the field of Parallel computing, focusing on Programming paradigm and, on occasion, Computer architecture. His Web service research includes themes of Visualization and Service.
His Workflow research includes elements of Set, Software engineering and Distributed Computing Environment. His Grid study combines topics from a wide range of disciplines, such as Supercomputer, Collaborative software and Computational science. David W. Walker focuses mostly in the field of Grid computing, narrowing it down to topics relating to Distributed computing and, in certain cases, Capacity planning and Software deployment.
His scientific interests lie mostly in Parallel computing, Visualization, Computational science, Grid and Message passing. His Parallel algorithm study in the realm of Parallel computing interacts with subjects such as Ranging. His work is dedicated to discovering how Visualization, Multimedia are connected with Information visualization, Immersion, Data set, Resource and World Wide Web and other disciplines.
His work deals with themes such as Supercomputer and Turnaround time, which intersect with Computational science. The various areas that David W. Walker examines in his Grid study include Visual analytics, Collaborative software, Data visualization and Human–computer interaction. His research in Message passing focuses on subjects like Shared memory, which are connected to InfiniBand, Layer and Threading.
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.
ScaLAPACK Users' Guide
L. S. Blackford;J. Choi;A. Cleary;E. D'Azevedo.
ScaLAPACK user's guide
L. S. Blackford;J. Choi;A. Cleary;E. D'Azeuedo.
MPI: The Complete Reference
Marc Snir;Steve W. Otto;David W. Walker;Jack Dongarra.
The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers
M. Berry;D. Chen;P. Koss;D. Kuck.
ieee international conference on high performance computing data and analytics (1989)
Infrared Astronomical Satellite (IRAS) catalogs and atlases
C. A. Beichman;George Helou;D. W. Walker.
ScaLAPACK: a scalable linear algebra library for distributed memory concurrent computers
J. Choi;J.J. Dongarra;R. Pozo;D.W. Walker.
symposium on frontiers of massively parallel computation (1992)
UDDIe: an extended registry for Web services
A. ShaikhAli;O.F. Rana;R. Al-Ali;D.W. Walker.
symposium on applications and the internet (2003)
MPI - The Complete Reference: Volume 1, The MPI Core
Marc Snir;Marc Snir;Steve Otto;Steven Huss-Lederman;David Walker.
Design and Implementation of the ScaLAPACK LU, QR, and Cholesky Factorization Routines
Jaeyoung Choi;Jack J. Dongarra;L. Susan Ostrouchov;Antoine P. Petitet.
Scientific Programming (1996)
ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance
Laura Susan Blackford;J. Choi;A. Cleary;A. Petitet.
conference on high performance computing (supercomputing) (1996)
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