AnySeq: A high performance sequence alignment library based on partial evaluation

DOI:	https://doi.org/10.1109/IPDPS47924.2020.00109
URL:	https://ieeexplore.ieee.org/document/9139784
Additional URL:	https://arxiv.org/abs/2002.04561
Document Type:	Conference or workshop publication
Year of publication:	2020
Book title:	2020 IEEE 34th International Parallel and Distributed Processing Symposium : proceedings, 18-22 May 2020, New Orleans, Louisiana
Page range:	1030-1040
Conference title:	IPDPS 2020
Location of the conference venue:	New Orleans, LA
Date of the conference:	18.-22.05.2020
Place of publication:	Los Alamitos, CA
Publishing house:	IEEE Computer Society
ISBN:	978-1-7281-6876-0 , 978-1-7281-6877-7
Related URLs:	https://www.researchgate.net/publication...
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Programmiersprachen und Compilerdesign (Juniorprofessur) (Leißa 2021-)
Subject:	004 Computer science, internet

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

BASE: Müller, André ; Schmidt, Bertil ; Hildebrandt, Andreas ; Membarth, Richard ; Leißa, Roland ; Kruse, Matthis ; Hack, Sebastian

Google Scholar: Müller, André ; Schmidt, Bertil ; Hildebrandt, Andreas ; Membarth, Richard ; Leißa, Roland ; Kruse, Matthis ; Hack, Sebastian

ORCID: Müller, André, Schmidt, Bertil, Hildebrandt, Andreas, Membarth, Richard, Leißa, Roland

, Kruse, Matthis and Hack, Sebastian

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