Carl Pearson
Carl Pearson is Computer Science Research and Development staff in the Scalable Algorithms group at Sandia National Laboratories and a Research Assistant Professor (LAT) of Computer Science at University of New Mexico. He works on future architectures for scientific computing, GPU communication for distributed linear algebra, and GPU acceleration of irregular operations. He received his Ph.D in Electrical and Computer Engineering from the University of Illinois, and his B.S. in Engineering from Harvey Mudd College.
Recent Posts
Using nvtx-connector and Nsight Systems to Understand your Kokkos Application
07/29/24
miniAero Fork for Kokkos 4
05/10/24
iPhone 11 Pro to 15 Pro
04/25/24
std::is_constructible is (at best) Poorly Named
04/19/24
Visiting the Very Large Array
04/18/24
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Recent Publications
Latency and Bandwidth Microbenchmarks of US Department of Energy Systems in the June 2023 Top 500 List
in
14th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems
11/23
Latency and Bandwidth Microbenchmarks of Six US Department of Energy Systems in the Top500
in
IEEE Cluster 2023
11/23
Interconnect Bandwidth Heterogeneity on AMD MI250x and Infinity Fabric
arXiv
02/23
Machine Learning for CUDA+MPI Design Rules
in
23rd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC)
03/22
TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes
in
2021 ACM Symposium on High-Performance Parallel and Distributed Computing
06/21
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