Papers

• 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.)}