LATIN AMERICA HIGH PERFORMANCE COMPUTING CONFERENCE

Accepted Papers

TitleAuthors
Evaluating Malleable Job Scheduling in HPC Clusters using Real-World WorkloadsZojer, P., Posner, J., Özden, T.
NUMA-Aware FIFO Scheduling: Optimizing Data Movement for the Montage WorkflowVivas, A., Castro, H.
ACCLAIM: Accelerating Long Context LLM Inference on Heterogeneous Edge PlatformsJayanth, R., Chien Lin, Y., Kundu, S., Mathaikutty, D., Prasanna, V.
Parallel/distributed computing for optimizing investment planning in electricity marketsFreire, S., Nesmachnow, S., Moreno, P.
Fast Sorting for the RISC-V ‘V’ Vector ExtensionSalmun, D., Mocskos, E.
Good Sustainability Practices for Data Center: A Systematic Literature ReviewBrito Guimarães, J., Barbosa, F., Damasceno, E., Queiroz, F., Amarís, M.
Subgroup and SIMD Optimization of RTM Kernels in Intel SYCL for Portable PerformanceKünas, C., Freytag, G., Paulino, E., Zuvanov, F., Sardinha, A., Navaux, P., Carissimi, A.
Machine Learning for Predicting Job States and CPU Power on a SupercomputerBenavides Castillo, D., Quirós Corella, F., Meneses, E.
Leveraging Local Data Share for Efficient Stencil Computation in the Fletcher Model on AMD MI250XLorenzon, A., Sardinha, A., Navaux, P.
Profiling a task-based molecular dynamics application with a data science approachAsch, C., Mello Schnorr, L., Meneses, E.
Investigating the Impact of DVFS on the Energy Efficiency of AI Workloads on GPUsLorenzon, A., Goncalves, T.
A Scientific Data Integrity system based on BlockchainMier Bello, G., Barrios Hernandez, C., Martínez Méndez, A., Rivas, R., Nuñez Villavicencio, L.
A Scalable and Reproducible Parsl Framework for Molecular evolutionary Analyses on HPC SystemsTerra, R., Oliveira, H., Janies, D., Rocha, H., Carvalho, D., Osthoff, C., Ocaña, K.
Performance and Energy Consumption Prediction of Scientific Workflows using Machine LearningBarbosa, F., de Souza Araújo, J., Amarís, M., Damasceno, E., Queiroz, F., Brito Guimarães, J., Cordeiro, D.
Optimizing the Energy-Efficiency of QMCPACK on Aurora Supercomputer via GPU SharingCosta, M., Navaux, P., Rizzi, S., Lorenzon, A.
Driving Computational Efficiency in Large-Scale Platforms using HPC Technologies: Driving Computational Efficiency in Large-Scale PlatformsMartínez Méndez, A., Rubio Montero, A., Barrios Hernandez, C., Asorey, H., Mayo-García, R., Nuñez Villavicencio, L.