Publicaciones en colaboración con investigadores/as de Universidad Católica San Antonio (57)

2024

  1. Scalability Limitations of Processing-in-Memory using Real System Evaluations

    Performance Evaluation Review, Vol. 52, Núm. 1, pp. 63-64

  2. Scalability Limitations of Processing-in-Memory using Real System Evaluations

    SIGMETRICS/PERFORMANCE 2024 - Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems

  3. Scalability limitations of processing-in-memory using real system evaluations

    Proceedings of the ACM on Measurement and Analysis of Computing Systems, Vol. 8, Núm. 1

2023

  1. Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs

    IEEE Micro, Vol. 43, Núm. 5, pp. 55-63

  2. GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption

    Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023

2022

  1. Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs

    Proceedings - 2022 IEEE International Symposium on Secure and Private Execution Environment Design, SEED 2022

  2. NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs

    Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT

  3. Puppeteer: A Random Forest Based Manager for Hardware Prefetchers Across the Memory Hierarchy

    ACM Transactions on Architecture and Code Optimization, Vol. 20, Núm. 1

  4. The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators

    Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022

2021

  1. A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators

    Proceedings - 2021 15th IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2021

  2. Evaluation of clustering algorithms on hpc platforms

    Mathematics, Vol. 9, Núm. 17

  3. GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUS

    Proceedings - 2021 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2021

  4. METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking

    Bioinformatics, Vol. 37, Núm. 11, pp. 1515-1520

  5. STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators

    Proceedings - 2021 IEEE International Symposium on Workload Characterization, IISWC 2021

  6. STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators

    IEEE Computer Architecture Letters, Vol. 20, Núm. 2, pp. 122-125

  7. Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs

    IEEE Transactions on Parallel and Distributed Systems, Vol. 32, Núm. 10, pp. 2448-2463

  8. Special issue on networks-on-chip again on the rise: From emerging applications to emerging technologies

    Micromachines

  9. TAP-2.5D: A Thermally-Aware Chiplet Placement Methodology for 2.5D Systems

    Proceedings -Design, Automation and Test in Europe, DATE

2020

  1. CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)