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

SECTION C: ENGINEERING

Vol. 13 No. 2 (2021)

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⁺⁻

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DOI: https://doi.org/10.18272/aci.v13i2.2255
Submitted: April 19, 2021
Published: 2021-12-07

Abstract

La serie de escuelas de Verano en HPC Colombia es una iniciativa para extender la capacidad y conocimiento en Colombia relacionado al cómputo de alto desempeño, esta iniciativa pretende tener impacto en Latinoamérica integrando experiencias de investigación, academia e industria en un mismo evento.

Dado la pandemia relacionada al COVID 19, desde la mitad del año 2020, el evento desde su tercera edición se ha desarrollado estrictamente en línea. En este paper hemos descrito de manera general el propósito, el desarrollo, el despliegue y los resultados obtenidos de la escuela de verano HPC Colombia 2020. Este evento es un ejemplo del potencial del uso de herramientas y ambientes virtuales para desarrollar y hacer crecer la educación relacionada al cómputo de alto desempeño (HPC).

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References

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

Keywords

HPC training
biocomputation training
parallel programming

How to Cite

Hernández Barragán, E., Álvarez, C. E., Varela, C. ., Mallarino, J. P., & de Vega, J. (2021). CyberColombia: una iniciativa regional para enseñar Cómputo de Alto desempeño y ciencias computacionales. ACI Avances En Ciencias E Ingenierías, 13(2), 9. https://doi.org/10.18272/aci.v13i2.2255

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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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/