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Pascale Guerdoux-Jamet

dblp:44/1787 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-authorApplied, 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
Hardware accelerators and domain-specific architectures · 77% Processor architecture and microarchitecture · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
sequence comparison
0.011997
SAMBA: hardware accelerator for biological sequence comparison · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology › sequence alignment
smith-waterman acceleration
0.011997
SAMBA: hardware accelerator for biological sequence comparison · Comput. Appl. Biosci. 1997
Processor architecture and microarchitecture › special-purpose processor
systolic array processor
0.011997
SAMBA: hardware accelerator for biological sequence comparison · Comput. Appl. Biosci. 1997

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

systolic array · 0.0smith-waterman algorithm · 0.0
YearPublicationVenuePosition
1997 SAMBA: hardware accelerator for biological sequence comparison
abstract
MOTIVATION: SAMBA (Systolic Accelerator for Molecular Biological Applications) is a 128 processor hardware accelerator for speeding up the sequence comparison process. The short-term objective is to provide a low-cost board to boost PC or workstation performance on this class of applications. This paper places SAMBA amongst other existing systems and highlights the original features. RESULTS: Real performance obtained from the prototype is demonstrated. For example, a sequence of 300 amino acids is scanned against SWISS-PROT-34 (21 210 389 residues) in 30 s using the Smith and Waterman algorithm. More time-consuming applications, like the bank-to-bank comparison, are computed in a few hours instead of days on standard workstations. Technology allows the prototype to fit onto a single PCI board for plugging into any PC or workstation. AVAILABILITY: SAMBA can be tested on the WEB server at URL http://www.irisa.fr/SAMBA/.
Pascale Guerdoux-Jamet, Dominique Lavenier
Comput. Appl. Biosci.1
1995 Systolic Filter for Fast DNA Similarity Search
abstract
This paper presents a systolic filter for speeding up the scan of DNA databases. The filter acts as a co-processor which performs the more intensive computations occurring during the process. Our validation, based on a FPGA prototype board tightly connected to a workstation, has shown that the filter may boost the performance of the machine by a factor ranging from 50 to 400 over current workstations.
Pascale Guerdoux-Jamet, Dominique Lavenier
ASAP1