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Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads

Autor
Cadenelli, N.; Jaksic, Z.; Polo, J.; Carrera, D.
Tipus d'activitat
Article en revista
Revista
Future generation computer systems
Data de publicació
2019-05
Volum
94
Pàgina inicial
148
Pàgina final
159
DOI
https://doi.org/10.1016/j.future.2018.11.028 Obrir en finestra nova
Projecte finançador
Computación de Altas Prestaciones VII
HiEST: Holistic Integration of Emerging Supercomputing Technologies
Models de Programacio i Entorns d'eXecució PARal.lels
Repositori
http://hdl.handle.net/2117/126685 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0167739X18314183 Obrir en finestra nova
Resum
The recent upsurge in the available amount of health data and the advances in next-generation sequencing are setting the ground for the long-awaited precision medicine. To process this deluge of data, bioinformatics workloads are becoming more complex and more computationally demanding. For this reasons they have been extended to support different computing architectures, such as GPUs and FPGAs, to leverage the form of parallelism typical of each of such architectures. The paper describes how a ...
Citació
Cadenelli, N., Jaksic, Z., Polo, J., Carrera, D. Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads. "Future generation computer systems", Maig 2019, vol. 94, p. 148-159.
Paraules clau
Energy-to-solution, FPGAs, GPUs, K-mer, OpenCL
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants

  • Cadenelli, Nicola  (autor)
  • Jaksic, Zoran  (autor)
  • Polo Bardés, Jorda  (autor)
  • Carrera Perez, David  (autor)

Arxius