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Swarn P. Kumar

dblp:63/2046 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 1991
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 4 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 60% Parallel and multicore computing · 40%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel algorithms › parallel algorithm design
MIMD algorithms
0.011983
Solving Linear Algebraic Equations on an MIMD Computer · J. ACM 1983
High-performance computing › numerical linear algebra
parallel linear algebra
0.011983
Solving Linear Algebraic Equations on an MIMD Computer · J. ACM 1983
High-performance computing › numerical linear algebra › linear solver
parallel linear solvers
0.011983
Solving Linear Algebraic Equations on an MIMD Computer · J. ACM 1983
High-performance computing
parallel numerical algorithms
0.011983
Solving Linear Algebraic Equations on an MIMD Computer · J. ACM 1983
Parallel and multicore computing
parallel programming models
0.011983
Solving Linear Algebraic Equations on an MIMD Computer · J. ACM 1983

Methods — techniques the papers use, named apart from their topics

givens transformations · 0.0gaussian elimination · 0.0
YearPublicationVenuePosition
1991 Portable tools for Fortran parallel programming
abstract
Abstract This paper presents a survey of some of the tools, techniques, and constructs for the development of portable, multitasked Fortran programs. The study mainly focuses on existing software tools that implement different approaches to achieving portability of multitasked Fortran programs for local and shared memory multiprocessor computers. However, some proposed approaches are also included. It appears that while each approach enjoys some advantages and suffers some disadvantages, at present, the development and use of portable multitasking tools is in its infancy, and thus no one system is clearly superior. Indeed, we expect that, for the foreseeable future, these and perhaps other techniques will all be actively pursued.
Swarn P. Kumar, Ivor R. Philips
Concurr. Pract. Exp.1
1986 Solving Positive Definite Linear Systems on Vector Computers
Hung-chi Kuo, Swarn P. Kumar
ICPP2
1986 Triangularization of a Positive Definite Matrix on a Parallel Computer
Swarn P. Kumar, Janusz S. Kowalik
J. Parallel Distributed Comput.1
1983 Solving Linear Algebraic Equations on an MIMD Computer
abstract
Two pracUcal parallel algorithms for solving systems of dense linear equations on an MIMD computer are presented.They are based on Gaussian elunmation and Givens transformations The algonthms are numerically stable and have been tested on the Denelcor HEP machine.
Robert E. Lord, Janusz S. Kowalik, Swarn P. Kumar
J. ACM3
1982 An efficient parallel block conjugate method for linear equations
Janusz S. Kowalik, Swarn P. Kumar
ICPP2