Publicaciones en las que colabora con Francisco Muñoz Martínez (8)

2023

  1. Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing

    International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS

  2. STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators

    ACM Journal on Emerging Technologies in Computing Systems, Vol. 19, Núm. 4

2022

  1. Hardware techniques for the design of efficient inference accelerators of deep neural networks

    Hardware techniques for the design of efficient inference accelerators of deep neural networks

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

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

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)

2019

  1. InsideNet: A tool for characterizing convolutional neural networks

    Future Generation Computer Systems, Vol. 100, pp. 298-315

2018

  1. SAWS: Simple and Adaptive Warp Scheduling for Improved Performance in Throughput Processors

    Proceedings - 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2018