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I'm in the Scalable Algorithms group at Sandia National Labs working on distributed and GPU-accelerated sparse matrix operations.

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Reach me at <github username without last two letters>@sandia.gov.

Carl Pearson's Projects

iid icon iid

Benchmarking with automatic determination of iid samples

kahip icon kahip

The graph partitioning framework KaHIP -- Karlsruhe High Quality Partitioning.

kd-2d icon kd-2d

2D k-d tree implementation for counting points in a region

kk-mma icon kk-mma

tracking work on kokkos-kernels matrix-multiply accumulate abstractions

kokkos icon kokkos

Kokkos C++ Performance Portability Programming EcoSystem: The Programming Model - Parallel Execution and Memory Abstraction

kokkos-kernels icon kokkos-kernels

Kokkos C++ Performance Portability Programming EcoSystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

kokkos-tools icon kokkos-tools

Kokkos C++ Performance Portability Programming EcoSystem: Profiling and Debugging Tools

kokkos-tutorials icon kokkos-tutorials

Tutorials for the Kokkos C++ Performance Portability Programming EcoSystem

legion icon legion

The Legion Parallel Programming System

libscope icon libscope

systems-oriented benchmark support library for CUDA and NUMA measurements

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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