CyberColombia: una iniciativa regional para enseñar Cómputo de Alto desempeño y ciencias computacionales

Esteban Hernández Barragán; Carlos E. Álvarez; Carlos Varela; Juan Pablo Mallarino; José de Vega

doi:10.18272/aci.v13i2.2255

SECCIÓN C: INGENIERÍAS

Vol. 13 Núm. 2 (2021): Volumen 13 Número 2

CyberColombia: a Regional Initiative to Teach HPC and Computational Sciences

Esteban Hernández Barragán⁺⁻
Carlos E. Álvarez⁺⁻
Carlos Varela⁺⁻
Juan Pablo Mallarino⁺⁻
José de Vega⁺⁻

DOI: https://doi.org/10.18272/aci.v13i2.2255
Enviado: abril 19, 2021
Publicado: 2021-12-07

Resumen

The series Summer School HPC Colombia is an initiative to extend highperformance computing-related knowledge in Colombia, and more widely in Latin America, and integrate expertise and research from academia and industry in the same event. This year’s edition, which is the third in the series, was carried out entirely online due to the outbreak of the COVID 19 pandemic during the first half of the year 2020. In this paper, we summarise the aims, development, deployment, and results of the Summer School HPC Colombia 2020 event. It is an example of the potential that the use of virtual tools and environments has to grow education for HPC.

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Citas

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Tracy, S. (2018). Why HPC matters: Weather and climate. CIO. https://www.cio.com/article/3254168/whyhpc-matters-weather-and-climate.html
Tyler, T. (2019) The surge in Oil & Gas supercomputing. Enterprise AI. https://www.enterpriseai.news/2019/01/21/thesurge-in-oil-gas-supercomputing/
Guedes, J.; Callegari, S.; Madau, P.; & Mayer, L. (2011). Forming realistic late-type spirals in an ACDM universe: the Eris simulation. The Astrophysical Journal 742, 76. doi: https://doi.org/10.1088/0004-637X/742/2/76
De Vega, J. J.; Davey, R. P.; Duitama, J.; Escobar, D.; Cristancho [U+2010] Ardila, M. A.; Etherington, G. J.; ...; & Di Palma, F. (2020). Colombia’s cyberinfrastructure for biodiversity: Building data infrastructure in emerging countries to foster socioeconomic growth. Plants, People, Planet 2, 229-236. doi: https://doi.org/10.1002/ppp3.10086
Pickard, C.J.; & Needs, R.J. (2006). Highpressure phases of silane. Physical Review Letters 97, 045504. doi: https://doi.org/10.1103/PhysRevLett.97.045504
Schusteritsch, G.; & Pickard, C.J. (2014). Predicting interface structures: From SrTiO3 to graphene. Physical Review B 90, 035424. DOI: https://doi.org/10.1103/PhysRevB.90.035424
Schneibel, A. (2020). New data analysis software tools aim at addressing the convergence of HPC and AI. ORNL. https://www.olcf.ornl.gov/2020/04/29/newdata-analysis-software-tools-aim-ataddressing-the-convergence-of-hpc-and-ai/
OpenACC (2020). [Training Material]. Retrieved August 24, 2020, from https://ngc.nvidia.com/catalog/containers/hpc:openacc-training-materials
Jupyterhub (2020) Jupyter Project [multi-user notebook version]. https://jupyter.org/hub
Slurm (2020) Slurm Workload Manager [Version 21.08]. https://slurm.schedmd.com/
Mathworks (2020) [Mathematical computing software for engineers and scientists] Retrieved August 27, 2020, from https://www.mathworks.com/

Palabras clave

HPC training
biocomputation training
parallel programming

Categorías

CARLA 2020

Cómo citar

Hernández Barragán, E., Álvarez, C. E., Varela, C., Mallarino, J. P., & de Vega, J. (2021). CyberColombia: a Regional Initiative to Teach HPC and Computational Sciences. ACI Avances En Ciencias E Ingenierías, 13(2), 9. https://doi.org/10.18272/aci.v13i2.2255

Derechos de autor 2021 Esteban Hernández Barragán, PreferenciasCarlos E. Álvarez, Carlos Varela, PreferenciasJuan Pablo Mallarino, PreferenciasJosé de Vega

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.

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[1] Allen, J. (2020). HPC-driven collaboration accelerates drug discovery. LLNL. https://computing.llnl.gov/newsroom/hpcdriven-collaboration-accelerates-drugdiscovery

[2] Tracy, S. (2018). Why HPC matters: Weather and climate. CIO. https://www.cio.com/article/3254168/whyhpc-matters-weather-and-climate.html

[3] Tyler, T. (2019) The surge in Oil & Gas supercomputing. Enterprise AI. https://www.enterpriseai.news/2019/01/21/thesurge-in-oil-gas-supercomputing/

[4] Guedes, J.; Callegari, S.; Madau, P.; & Mayer, L. (2011). Forming realistic late-type spirals in an ACDM universe: the Eris simulation. The Astrophysical Journal 742, 76. doi: https://doi.org/10.1088/0004-637X/742/2/76

[5] De Vega, J. J.; Davey, R. P.; Duitama, J.; Escobar, D.; Cristancho [U+2010] Ardila, M. A.; Etherington, G. J.; ...; & Di Palma, F. (2020). Colombia’s cyberinfrastructure for biodiversity: Building data infrastructure in emerging countries to foster socioeconomic growth. Plants, People, Planet 2, 229-236. doi: https://doi.org/10.1002/ppp3.10086

[6] Pickard, C.J.; & Needs, R.J. (2006). Highpressure phases of silane. Physical Review Letters 97, 045504. doi: https://doi.org/10.1103/PhysRevLett.97.045504

[7] Schusteritsch, G.; & Pickard, C.J. (2014). Predicting interface structures: From SrTiO3 to graphene. Physical Review B 90, 035424. DOI: https://doi.org/10.1103/PhysRevB.90.035424

[8] Schneibel, A. (2020). New data analysis software tools aim at addressing the convergence of HPC and AI. ORNL. https://www.olcf.ornl.gov/2020/04/29/newdata-analysis-software-tools-aim-ataddressing-the-convergence-of-hpc-and-ai/

[9] OpenACC (2020). [Training Material]. Retrieved August 24, 2020, from https://ngc.nvidia.com/catalog/containers/hpc:openacc-training-materials

[10] Jupyterhub (2020) Jupyter Project [multi-user notebook version]. https://jupyter.org/hub

[11] Slurm (2020) Slurm Workload Manager [Version 21.08]. https://slurm.schedmd.com/

[12] Mathworks (2020) [Mathematical computing software for engineers and scientists] Retrieved August 27, 2020, from https://www.mathworks.com/