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Jordan Lampe

dblp:12/478 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Systems, architecture and hardware · 2Graphics, computer vision, multimedia, augmented reality and games · 1Theory of computation · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel algorithms
0.011996
Complexity of Sub-Bus Mesh Computations · SIAM J. Comput. 1996
Parallel and multicore computing › parallel computation models
parallel machine model
0.011996
Complexity of Sub-Bus Mesh Computations · SIAM J. Comput. 1996
Parallel and multicore computing › parallel algorithms › parallel primitives
parallel reduction
0.011996
Complexity of Sub-Bus Mesh Computations · SIAM J. Comput. 1996

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

time complexity analysis · 0.0
YearPublicationVenuePosition
1996 Complexity of Sub-Bus Mesh Computations
abstract
The time complexity of several fundamental problems on the sub-bus mesh parallel computer with p processors is investigated. The problems include computing the PARITY and MAJORITY of p bits, the SUM of p numbers of length $O(\log p)$, and the MINIMUM of p numbers. It is shown that in one dimension the time to compute any of these problems is $\Theta (\log p)$. In two dimensions the time to compute any of PARITY, MAJORITY, and SUM is $\Theta (\tfrac{{\log p}} {{\log \log p}})$. It was previously shown that the time to compute MINIMUM in two dimensions is $\Theta (\log \log p)$ [R. Miller et al., IEEE Trans. Comput., 42 (1993), pp. 678–692; L. Valiant, SIAM J. Comput., 4 (1975), pp. 348–355]
Anne Condon, Richard E. Ladner, Jordan Lampe, Rakesh K. Sinha
SIAM J. Comput.3
1993 Vector Prefix Addition on Sub-Bus Mesh Computers
Richard E. Ladner, Jordan Lampe, Richard A. Rogers
SPAA2
1992 Theoretical and Empirical Comparisons of Approximate String Matching Algorithms
William I. Chang, Jordan Lampe
CPM2
1991 BioSCAN: A VLSI-Based System for Biosequence Analysis
abstract
A special-purpose computer system has been designed to accelerate scanning large databases of DNA and protein sequences (biosequences) for patterns of interest. The system consists of a custom-designed circuit board installed in a host workstation and associated software. The board features a variable number of identical full-custom ASICs. Each biological sequence comparative analysis node. (BioSCAN) ASIC, in turn, features a large one-dimensional systolic array of identical processing elements (PEs). The BioSCAN system scans approximately two million database elements per second. For typical problems this results in a 1000-fold speedup over current workstations.>
C. Thomas White, Raj K. Singh, Peter B. Reintjes, Jordan Lampe, Bruce W. Erickson, Wayne D. Dettloff, Vernon L. Chi, Stephen F. Altschul
ICCD4