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Andrzej Wozniak

dblp:235/4203 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis
0.011997
Using video-oriented instructions to speed up sequence comparison · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology › sequence analysis
sequence comparison
0.011997
Using video-oriented instructions to speed up sequence comparison · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology › sequence alignment › dynamic programming alignment
smith-waterman algorithm
0.011997
Using video-oriented instructions to speed up sequence comparison · Comput. Appl. Biosci. 1997
Parallel and multicore computing › data parallelism
SIMD vectorization
0.011997
Using video-oriented instructions to speed up sequence comparison · Comput. Appl. Biosci. 1997

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

instruction-level parallelization · 0.0SIMD instructions · 0.0
YearPublicationVenuePosition
1997 Using video-oriented instructions to speed up sequence comparison
abstract
MOTIVATION: This document presents an implementation of the well-known Smith-Waterman algorithm for comparison of proteic and nucleic sequences, using specialized video instructions. These instructions, SIMD-like in their design, make possible parallelization of the algorithm at the instruction level. RESULTS: Benchmarks on an ULTRA SPARC running at 167 MHz show a speed-up factor of two compared to the same algorithm implemented with integer instructions on the same machine. Performance reaches over 18 million matrix cells per second on a single processor, giving to our knowledge the fastest implementation of the Smith-Waterman algorithm on a workstation. The accelerated procedure was introduced in LASSAP--a LArge Scale Sequence compArison Package software developed at INRIA--which handles parallelism at higher level. On a SUN Enterprise 6000 server with 12 processors, a speed of nearly 200 million matrix cells per second has been obtained. A sequence of length 300 amino acids is scanned against SWISSPROT R33 (1,8531,385 residues) in 29 s. This procedure is not restricted to databank scanning. It applies to all cases handled by LASSAP (intra- and inter-bank comparisons, Z-score computation, etc.
Andrzej Wozniak
Comput. Appl. Biosci.1