Our Group integrates a series of lines of research, interrelated and developed in the context of High Performance Computing (HPC) |
Research Lines
Considering HPC for Apps & Simulation, the main research lines focuses on two broad areas:
- HPC Technology
- Applications with Societal Impact
Detailed subjects:
Our project aims to provide solutions to the following problems, while it creates the corresponding technology that allows these solutions to be transferred:
- Performance and Efficiency in the use of HPC resources
- Effect of the interconnection network on the performance of applications
- Performance prediction. Scalability.
- Efficient execution of applications: programming model, energy consumption, heterogeneous multicore.
- Availability of HPC resources (available to user)
- Fault tolerance for HPC in numerical (technical-scientific) and transactional applications.
- Integrity against attacks in use and/or access to the HPC resources (Vulnerability)
- Design and optimization of HPC systems, for “workloads” specific (application-specific domains)
- CPU, network interconnection, I/O & Availability
- Support tools (simulation)
- Social projection (impact) applications (solutions to problems of social impact -smart applications-, which require the capacity of HPC systems):
- Simulation and optimization of Emergency Services in Hospitals (Smarter Health Services)
- Simulation of Individuals oriented Models
- HPCNelogo: Environment for the concurrent execution of ABM models under Netlogo-Behavior Space in an unattended/remote way on an HPC cluster using SGE (Github).
- Simulation and optimization of movements of individuals in constrained environments (Smart Evacuations): Emergency Evacuations.
News
3rd International Conference of the Chilean Computer Science Society (SCCC)
Universidad de La Frontera, Temuco, Chile
October 28-30, 2024
The SCC2024 – Chilean Computing Conference is the most significant scientific event in Chile in Computer Science and Informatics. This annual event brings together renowned researchers and professionals to present and discuss the latest advancements in the discipline.
This year, researcher Felipe Tirado, a member of the HPC4EAS group, participated with his work titled: “Characterization Model for Irregular MPI Applications Based on PAS2P.” This work, developed in collaboration with Álvaro Wong, Dolores Rexachs, and Emilio Luque, offers an innovative approach to characterizing irregular MPI applications.
This event provided an excellent opportunity to share knowledge and establish connections within the scientific community, contributing to the advancement of research in high-performance computing.
Simul2024 Awards: Francisco Mesas, HPC4EAS researcher, has received the award for best paper at the Simul24 Conference.
Congratulations!!
The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
News Blog
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JCC2024
2024-11-03 09:42 -
ICCS 2024
2024-07-28 10:02 -
PDPTA 2024
2024-07-25 08:28