Assessing Opportunities of SYCL and Intel oneAPI for Biological Sequence Alignment

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

Open source

DOI: 10.21203/rs.3.rs-3039440/v1
Published: 2023-06-16
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Publisher: Research Square Platform LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-3039440/v1,
  title = {Assessing Opportunities of SYCL and Intel oneAPI for Biological Sequence Alignment},
  author = {Manuel Costanzo and Enzo Rucci and Carlos García-Sanchez and Marcelo Naiouf and Manuel Prieto-Matías},
  year = {2023},
  doi = {10.21203/rs.3.rs-3039440/v1},
  url = {https://doi.org/10.21203/rs.3.rs-3039440/v1}
}

RIS

TY  - JOUR
TI  - Assessing Opportunities of SYCL and Intel oneAPI for Biological Sequence Alignment
AU  - Manuel Costanzo
AU  - Enzo Rucci
AU  - Carlos García-Sanchez
AU  - Marcelo Naiouf
AU  - Manuel Prieto-Matías
PY  - 2023
DO  - 10.21203/rs.3.rs-3039440/v1
UR  - https://doi.org/10.21203/rs.3.rs-3039440/v1
ER  -

APA

Costanzo, M., Rucci, E., García-Sanchez, C., Naiouf, M., & Prieto-Matías, M. (2023). Assessing Opportunities of SYCL and Intel oneAPI for Biological Sequence Alignment. https://doi.org/10.21203/rs.3.rs-3039440/v1

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crossref · retrieved 2026-11-09T08:04:03.946Z