activity
20182023
most citedTEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2023★ 1 cited

Interconnect Bandwidth Heterogeneity on AMD MI250x and Infinity Fabric

Carl Pearson

Demand for low-latency and high-bandwidth data transfer between GPUs has driven the development of multi-GPU nodes. Physical constraints on the manufacture and integration of such…

cs.PF2022

Machine Learning for CUDA+MPI Design Rules

Carl Pearson, Aurya Javeed, Karen Devine

We present a new strategy for automatically exploring the design space of key CUDA+MPI programs and providing design rules that discriminate slow from fast implementations. In such…

cs.DC2020★ 1 cited

TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes

Carl Pearson, Kun Wu, I-Hsin Chung +2

MPI derived datatypes are an abstraction that simplifies handling of non-contiguous data in MPI applications. These datatypes are recursively constructed at runtime from primitive…

cs.DC2020

At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation

Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody +4

This paper presents GPU performance optimization and scaling results for inference models of the Sparse Deep Neural Network Challenge 2020. Demands for network quality have increas…

cs.PF2018

SCOPE: C3SR Systems Characterization and Benchmarking Framework

Carl Pearson, Abdul Dakkak, Cheng Li +3

This report presents the design of the Scope infrastructure for extensible and portable benchmarking. Improvements in high- performance computing systems rely on coordination acros…