Accepted 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.)