Publicaciones (42) Publicaciones de Diego Andrade Canosa

2024

  1. STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning

    IEEE Access, Vol. 12, pp. 70581-70599

2023

  1. Influence of face-to-face in hybrid teaching: A case of study for a master

    Iberian Conference on Information Systems and Technologies, CISTI

  2. VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores

    Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023

  3. VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores

    International Conference for High Performance Computing, Networking, Storage and Analysis, SC

2022

  1. Probing the Efficacy of Hardware-Aware Weight Pruning to Optimize the SpMM routine on Ampere GPUs

    Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT

  2. The New UPC++ DepSpawn High Performance Library for Data-Flow Computing with Hybrid Parallelism

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

2021

  1. A software cache autotuning strategy for dataflow computing with UPC++ DepSpawn

    Computational and Mathematical Methods

  2. High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn

    Journal of Supercomputing, Vol. 77, Núm. 7, pp. 7676-7689

  3. Opencnn: A winograd minimal filtering algorithm implementation in Cuda

    Mathematics, Vol. 9, Núm. 17

  4. ScalaParBiBit: scaling the binary biclustering in distributed-memory systems

    Cluster Computing, Vol. 24, Núm. 3, pp. 2249-2268

2020

  1. An automatic optimizer for heterogeneous devices

    Future Generation Computer Systems, Vol. 106, pp. 572-584

2019

  1. A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library)

    IEEE Access, Vol. 7, pp. 23365-23378

  2. Easy dataflow programming in clusters with UPC++ DepSpawn

    IEEE Transactions on Parallel and Distributed Systems, Vol. 30, Núm. 6, pp. 1267-1282

  3. Using Artificial Vision Techniques for Individual Player Tracking in Sport Events

    XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September

2018

  1. Guiding the Optimization of Parallel Codes on Multicores Using an Analytical Cache Model

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

  2. Heterogeneous distributed computing based on high-level abstractions

    Concurrency Computation

2017

  1. Facilitating the development of stencil applications using the Heterogeneous Programming Library

    Concurrency Computation , Vol. 29, Núm. 12

  2. High productivity multi-device exploitation with the Heterogeneous Programming Library

    Journal of Parallel and Distributed Computing, Vol. 101, pp. 51-68

2016

  1. Towards a High Level Approach for the Programming of Heterogeneous Clusters

    Proceedings of the International Conference on Parallel Processing Workshops

  2. Writing a performance-portable matrix multiplication

    Parallel Computing, Vol. 52, pp. 65-77