• Home
  • Publications
  • Talks
  • Projects
  • Recognition
  • Experience
  • Posts
profile picture

Carl Pearson

LTE, Sandia National Labs and Research Assistant Professor (LAT), University of New Mexico CS. All opinions are my own.

  • © Carl Pearson 2022
    2022
      [IPDPSw] Machine Learning for CUDA+MPI Design Rules
      3/4/2022
    2021
      [HPDC] TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes
      6/24/2021
      [Ph.D Dissertation] Movement and Placement of Non-Contiguous Data In Distributed GPU Computing
      4/20/2021
    2020
      [HPEC] At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation
      9/23/2020
      [iWAPT] Node-Aware Stencil Communication on Heterogeneous Supercomputers
      3/9/2020
    2019
      [HPEC] Accelerating Sparse Deep Neural Networks on FPGAs
      9/26/2019
      [HPEC] Update on Triangle Counting on GPU
      8/22/2019
      [HPEC] Update on k-truss Decomposition on GPU
      8/22/2019
      [ICPE'19] Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects
      4/9/2019
    2018
      [HPEC] Collaborative (CPU+ GPU) Algorithms for Triangle Counting and Truss Decomposition
      9/25/2018
      [tech report] SCOPE: C3SR Systems Characterization and Benchmarking Framework
      9/18/2018
      [IWOPH] NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems
      6/28/2018
      [thesis] Heterogeneous Application and System Modeling
      6/25/2018
      [IPDPS] A Fast and Massively-Parallel Solver for Multiple-Scattering Tomographic Image Reconstruction
      5/21/2018
    2017
      [ICRC] Rebooting the Data Access Hierarchy of Computing Systems
      11/18/2017
      [CEM] Thoughts on Massively-Parallel Heterogeneous Computing for Solving Large Problems
      6/21/2017
      [CEM] Scalable Parallel DBIM Solutions of Inverse-Scattering Problems
      6/21/2017
      [CEM] Comparative Performance Evaluation of Multi-GPU MLFMM Implementation for 2-D VIE Problems
      6/21/2017
      [IPDPSw] RAI: A Scalable Project Submission System for Parallel Programming Courses
      5/29/2017
      [ACES] Large Inverse-Scattering Solutions with DBIM on GPU-Enabled Supercomputers
      3/28/2017
    2016
      [IPDPSw] WebGPU: A Scalable Online Development Platform for GPU Programming Courses
      5/23/2016
    2014
      [MES] Adaptive Cache Bypass and Insertion for Many-Core Accelerators
      6/1/2014
  • © Carl Pearson 2022