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C. R. Viswanathan

dblp:96/404 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1962
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2

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
Hardware accelerators and domain-specific architectures · 44% Processor architecture and microarchitecture · 44% Reconfigurable computing and FPGAs · 13%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture
parallel computer organization
0.011962
Organization of a "Fixed-Plus-Variable" Structure Computer for Computation of Eigenvalues and Eigenvectors of Real Symmetric Matrices · J. ACM 1962
Computational science and engineering
numerical linear algebra
0.011962
Organization of a "Fixed-Plus-Variable" Structure Computer for Computation of Eigenvalues and Eigenvectors of Real Symmetric Matrices · J. ACM 1962

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

jacobi's method · 0.0
YearPublicationVenuePosition
1962 Organization of a "Fixed-Plus-Variable" Structure Computer for Computation of Eigenvalues and Eigenvectors of Real Symmetric Matrices
abstract
Abslract.The design of a special purpose computer to operate in parallel with a general purpose computer to accelerate the diagonalization of real symmetric matrices is described.The entire system operates in a configuration described as the "Fixed-Plus-Variable" Structure Computer [1] such that the same elements used for the special computer may be reorganized for other problem applications.As a vehicle for this study it is assumed that problem properties dictated the choice of Jacobi's method.The Jaeobi method of diagonalization ~md an available program utilizing an improved technique for its execution on existing computers are described.The bases of decisions leading to design of the special purpose computer are explained.The nature of the supervisory control, which coordinates the activities of the general and speeiM purpose computers is detailed.The predicted in~ creases in speed due to the organization and parallelism and then with the superimposed effect of higher speed circuitry are evaluated.(~2 G. ESTRIN AND C. R, VISWANATHANst, raing of the awfilable inventory, the variable-stlructurc~ par~, of the system is used to shorten the overall computation time associated with any given problem.The eigenvalue problem, which arises in a variety of fields, viz.theory of vibrations, atomic and molecular spectroscopy, crystalline physics, nuclear physics, etc., [3] may be formulated as follows.Let H be an % X n matrix whose elements are real and symmetric.The problem is (o find a mmaber X and arl n-dimensional vector M such that
Gerald Estrin, C. R. Viswanathan
J. ACM2
1962 Correction and Addendum: "Organization of a 'Fixed-Plus-Variable' Structure Computer for Computation of Eigenvalues and Eigenvectors of Real Symmetric Matrices"
abstract
No abstract available.
Gerald Estrin, C. R. Viswanathan
J. ACM2