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

Contenido principal del artículo

Esteban Hernández Barragán

Resumen

The series Summer School HPC Colombia is an initiative to extend high-performance 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 Colombia2020event. It is an example of the potential that the use of virtual tools and environments has to grow education for HPC

Descargas

La descarga de datos todavía no está disponible.

Metrics

Cargando métricas ...

Detalles del artículo

Cómo citar
Hernández Barragán, E. (2021). CyberColombia: Una iniciativa regional para enseñar Cómputo de Alto desempeño y ciencias computacionales: 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
Sección
SECCIÓN C: INGENIERÍAS
Biografía del autor/a

Esteban Hernández Barragán, Distrital University Francisco José de Caldas

Senior Software architect with +15 years of experience, my strengths include a deep understanding of availability, performance, security and capacity planning. I also have a deep understanding of and experience working with Big Data environments using Data Sciences tools and techniques

I developed an active research role in High Performance computing for Weather Forecasting, Distributed Data Processing and Data Security. I have developed generations of high availability architectures based on open source software with JBoss, Glassfish and Apache Tomcat, tuned computing platforms to achieve high processing performance and implemented scientific programs using OpenMP, MPI, CUDA, OpenCL and OpenACC and other parallel frameworks and languages.

In addition to the above, I’ve worked extensively with Linux administration and compiled processes using open source gcc, Intel ICC, Ifort , pgi and MPI with a focus on profiling applications. 

Citas

`[1] Allen, J.: HPC-driven collaboration acceler-ates drug discovery. LLNL. January 30 2020,https://computing.llnl.gov/newsroom/hpc-driven-collaboration-accelerates-drug-discovery
[2] Tracy, S.:Why HPC matters:Weatherandclimate.CIO.February72018,https://www.cio.com/article/3254168/why-hpc-matters-weather-and-climate.html
[3] Tyler, T.: The surge in Oil & Gas super-computing. Enterprise AI. January 21 2019,https://www.enterpriseai.news/2019/01/21/the-surge-in-oil-gas-supercomputing/
[4] Guedes, J., Callegari, S., Madau, P., Mayer,L.:Forming realistic late-type spirals inan ACDM universe:the Eris simulation.The Astrophysical Journal742, 76 (2011).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.:Colombia’s cyberinfrastructure for biodiver-sity: Building data infrastructure in emerging countries to foster socio-economic growth.Plants, People, Planet2, 229-236. (2020).https://doi.org/10.1002/ppp3.10086
[6] Pickard,C.J.,Needs,R.J.:High-pressurephasesofsilane.PhysicalReviewLetters97,045504(2006).https://doi.org/10.1103/PhysRevLett.97.045504
[7] Schusteritsch, G., Pickard, C.J.: Predicting in-terface structures: From SrTiO3 to graphene.Physical Review B90, 035424 (2014).https://doi.org/10.1103/PhysRevB.90.035424
[8] Schneibel, A.: New data analysis softwaretools aim at addressing the convergenceof HPC and AI. ORNL. April 29 2020.https://www.olcf.ornl.gov/2020/04/29/new-data-analysis-software-tools-aim-at-addressing-the-convergence-of-hpc-and-ai/
[9] OpenACC Training Material,https://ngc.nvidia.com/catalog/containers/hpc:openacc-training-materials.Lastaccessed 24 Ago 2020
[10] jupyterhub multi-user notebook version,https://jupyter.org/hub. Last accessed24 Ago 2020
[11] slurm workload manager,https://slurm.schedmd.com/. Last accessed 26 Ago 2020[12] Mathworks,https://www.mathworks.com/. Last accessed 27 Ago 2020