- Resilient Air Quality Forecasting in Administratively Constrained HPC Environments: A Container-Based Approach for the Guadalajara Metropolitan Area
(Rodriguez, A., Ulloa Godinez, H., Garcia Guadalupe, M.) - From Access to Adoption: Training Life Sciences Researchers in High-Performance Computing
(Gomez, M., Silva, A., Schachner, A., Wolovick, N.) - Toward HPC Spot Jobs: On the Feasibility of Malleable and Preemptible Jobs on Idle Resources
(Dias, V., Rosso, P., Azevedo Gomes, A., Francesquini, E., Yviquel, H.) - Towards AI-Aware Instruction in High-Performance Computing: A Methodological Proposal for Parallel Systems Courses
(Pousa, A., Sanz, V.) - Shift Matrices and Single-Batch Halos: Optimizing 3D Stencils on Tenstorrent Blackhole Architecture
(Bonvenuto, G., Yviquel, H., Araujo, G., Rigo, S.) - PyExner: A GPU-Parallel Python Framework for Hydro–Morphodynamic Modeling
(Villalobos, J., Díaz, F., Caviedes-Voullième, D., Rizzi, S., Meneses, E.) - Evolutionary Computation-Based Optimization for an AI Surrogate Model of Particulate Flow
(Telocken, A., Künas, C., Binelo, M., Padoin, E., Navaux, P.) - Deterministic Neutron Transport in GPU-Accelerated MareNostrum Supercomputer
(Goldberg, E., Rodriguez Vitolo, M., Mantsinen, M., Soba, A.) - Teaching HPC in an Erasmus+ Open Science Hub for Latin America: The EL-BONGÓ HPC-AI Discipline
(Carrillo, O., Le Mouël, F., Ruiz Vargas, M., Barrios Hernandez, C., Nuñez Villavicencio, L., Navarro, G.) - SimGrid to Evaluate Ghost Cells Effectiveness in High-Performance Computing Applications
(Spadotto, V., Mello Schnorr, L.) - Computing the Fermat distance between DNA sequences using GPU
(Abbona, P., Fourcade, I., Núñez, A., Fariello, M., Long, M., Dufrechou, E., Pedemonte, M.) - Performance analysis and I/O characterization of DeepONet training data on a Lustre parallel filesystem
(Freire, S., Nesmachnow, S.) - Fail-Continue Error Mitigation in GEMM Operations: An Asynchronous ABFT Approach for MPI-CUDA Architectures.
(Rojas Vargas, F., Caicedo Rodríguez, S., Gélvez Cortés, S., Torres Niño, L., Barrios Hernandez, C.) - ILP-Driven Supervised Learning for Co-Optimizing Performance and Energy in CPU-GPU Architectures
(Galvis Beltran, J., Lemus, A., Torres Niño, L., Barrios Hernandez, C.) - Bayesian Auto-Tuning for Performance Portability: A Comparative Analysis of SYCL and CUDA Kernels
(Arévalo Quintero, D., Rojas de la Hoz, J., Gélvez Cortés, S., Torres Niño, L., Barrios Hernandez, C.) - Enhancing the performance of IRKA through adaptive preconditioning
(Valdés, M., Dufrechou, E., Ezzatti, P., Saak, J.) - Exploring Runtime-Configurable Piecewise Linear Function Interpolation for FPGA-Based LLM Hardware Acceleration
(Nepveu Nelson, P., Jiménez-Chacón, N., Morales Monge, R., Leon-Vega, L., Castro-Godinez, J.) - Performance Optimization of Fletcher Seismic Modeling via Shared Memory and Float2 Vectorization
(Brumati, K., Sardinha, A., Carissimi, A., Navaux, P., Lorenzon, A.) - What Makes a Modern Attention Implementation?
(Pantoja, M., Slonim, B.) - Evaluating Checkpointing and Lossy Compression for Memory-Efficient GPU-based Full-Waveform Inversion
(Santos, R., Salvador, B., Ludgero, L., Lima, W., Senger, H.)
