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Martin Rofheart

dblp:39/1117 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1990
—ORCID · none

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

Systems, architecture and hardware · 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
Parallel and multicore computing · 87% Interconnection networks and networks-on-chip · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel algorithms
0.011990
A Parallel Algorithm for 2-D DFT Computation with No Interprocessor Communication · IEEE Trans. Parallel Distributed Syst. 1990
Parallel and multicore computing › parallel algorithms
parallel algorithm design
0.011990
A Parallel Algorithm for 2-D DFT Computation with No Interprocessor Communication · IEEE Trans. Parallel Distributed Syst. 1990
Interconnection networks and networks-on-chip › network topology › tree networks
binary tree network
0.011990
A Parallel Algorithm for 2-D DFT Computation with No Interprocessor Communication · IEEE Trans. Parallel Distributed Syst. 1990

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

performance estimation · 0.0
YearPublicationVenuePosition
1990 A Parallel Algorithm for 2-D DFT Computation with No Interprocessor Communication
abstract
A parallel algorithm is proposed for the two-dimensional discrete Fourier transform (2-D DFT) computation which eliminates interprocessor communications and uses only O(N) processors. The mapping of the algorithm onto architectures with broadcast and report capabilities is discussed. Expressions are obtained for estimating the speed performance on these machines as a function of the size N*N of the 2-D DFT, the bandwidth of the communications channel, the time for an addition, the time T(F/sub N/) for a single processing element to perform an N-point DFT, and the degree of parallelism. For single I/O channel machines that are capable of exploiting the full degree of parallelism of the algorithm, attainable execution times are as low as the time T(F/sub N/) plus the I/O time for data upload and download. An implementation on a binary tree computer is discussed.>
Izidor Gertner, Martin Rofheart
IEEE Trans. Parallel Distributed Syst.2