High-Performance Computing (HPC) and its Applications: Iberogun Cluster – A development perspective from the Universidade Tecnológica de Panamá (UTP)

The challenges in advancing research development in various scientific fields and the need to strengthen research at the Universidad Tecnológica Panamá (UTP) led to the creation of the IBEROGUN supercomputing platform. This initiative aims to expand and strengthen UTP's high-performance computing infrastructure through projects funded by SENACYT, including EIE18-16 and FID16-275. The primary goal is to boost research development that requires high computational demand. It aims to position UTP and Panama at the forefront of international research involving high-performance computing (HPC) in environmental, climate change, water resources, and industrial applications. The IBEROGUN HPC cluster incorporates an NVIDIA DGX A100 GPU, ASUS servers, and Volta and Titan graphic cards. It has supported projects on atmospheric climate variability and indentation-induced plasticity in CuZr glasses and is currently aiding hydrological modeling of the Upper Chagres River watershed. Using the AceCAST model, the Iberogun cluster improved precipitation resolution and reduced processing time for weather forecasting. Molecular dynamics simulations of CuZr glasses revealed a correlation between plasticity and stoichiometry. Hydrological modeling of the Upper Chagres River is being conducted to determine the impacts of Climate Change and anthropogenic activities on this vital watershed. The IBEROGUN cluster has enhanced Panama's research capabilities in high-computational demand scientific areas. Accessible HPC technology is crucial for advancing scientific production, especially in developing countries. Ensuring an effective system for user access to the cluster is vital. The authors thank SNI-SENACYT for financial support, NVIDIA for donating a Titan graphic card, and CoCeCAR for technical support.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-02
DOI
https://doi.org/10.5281/zenodo.15320808
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
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article

High-Performance Computing (HPC) and its Applications: Iberogun Cluster – A development perspective from the Universidade Tecnológica de Panamá (UTP)

Zenodo (CERN European Organization for Nuclear Research)
Ocean Waves and Remote Sensing
article

High-Performance Computing (HPC) and its Applications: Iberogun Cluster – A development perspective from the Universidade Tecnológica de Panamá (UTP)

article en

Abstract

The challenges in advancing research development in various scientific fields and the need to strengthen research at the Universidad Tecnológica Panamá (UTP) led to the creation of the IBEROGUN supercomputing platform. This initiative aims to expand and strengthen UTP's high-performance computing infrastructure through projects funded by SENACYT, including EIE18-16 and FID16-275. The primary goal is to boost research development that requires high computational demand. It aims to position UTP and Panama at the forefront of international research involving high-performance computing (HPC) in environmental, climate change, water resources, and industrial applications. The IBEROGUN HPC cluster incorporates an NVIDIA DGX A100 GPU, ASUS servers, and Volta and Titan graphic cards. It has supported projects on atmospheric climate variability and indentation-induced plasticity in CuZr glasses and is currently aiding hydrological modeling of the Upper Chagres River watershed. Using the AceCAST model, the Iberogun cluster improved precipitation resolution and reduced processing time for weather forecasting. Molecular dynamics simulations of CuZr glasses revealed a correlation between plasticity and stoichiometry. Hydrological modeling of the Upper Chagres River is being conducted to determine the impacts of Climate Change and anthropogenic activities on this vital watershed. The IBEROGUN cluster has enhanced Panama's research capabilities in high-computational demand scientific areas. Accessible HPC technology is crucial for advancing scientific production, especially in developing countries. Ensuring an effective system for user access to the cluster is vital. The authors thank SNI-SENACYT for financial support, NVIDIA for donating a Titan graphic card, and CoCeCAR for technical support.

Zenodo (CERN European Organization for Nuclear Research)
Instituto Tecnológico de Costa Rica (CR), Centro de Estudios e Investigaciones Técnicas de Gipuzkoa (ES), Fistula Foundation (US), Instituto Nacional de Tecnologia (BR), Innovation Cluster (Canada) (CA), Instituto Centroamericano de Administración Pública (CR), Universitas Tridinanti Palembang (ID), Secretaría Nacional de Ciencia, Tecnología e Innovación (PA), Centro Nacional de Alta Tecnología (CR), University of El Salvador (SV)
Openalex Percentile: Top 53%
Ocean Waves and Remote Sensing
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