Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems ; day:19 ; month:2 ; year:2024 ; pages:1-24
The journal of supercomputing ; (19.2.2024), 1-24

Creator: Costanzo, Manuel
Rucci, Enzo
García-Sanchez, Carlos
Naiouf, Marcelo
Prieto-Matías, Manuel

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11227-024-05907-2

URN: urn:nbn:de:101:1-2404260723479.241316181158

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

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Costanzo, Manuel
Rucci, Enzo
García-Sanchez, Carlos
Naiouf, Marcelo
Prieto-Matías, Manuel
SpringerLink (Online service)

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Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems

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Other Objects (12)

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GPU accelerated sequence alignment with traceback for GATK HaplotypeCaller

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Sequence alignment and phylogenetic inference

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ADEPT: a domain independent sequence alignment strategy for gpu architectures

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Correction to: GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data

CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment

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