Publicaciones en colaboración con investigadores/as de Universidad Católica San Antonio (39)

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. 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

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

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

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

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

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

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

  6. 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

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

    Micromachines

  8. 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)

  2. Design space exploration of accelerators and end-to-end DNN evaluation with TFLITE-SOC

    Proceedings - Symposium on Computer Architecture and High Performance Computing