Mark Berrill
Computational Scientist
Knoxville Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMark Berrill is a computational scientist with 11+ years of experience building high-performance simulation codes for laser-produced plasmas and multiphysics coupling on leadership-class supercomputers. Based at Oak Ridge National Laboratory, he develops and scales sophisticated models—from 1.5D atomic/plasma solvers and 2D AMR hydrodynamics to 3D ray-trace and spectral post-processors—using C/C++, FORTRAN, MATLAB, pthreads and MPI alongside PETSc, Trilinos, SAMRAI and HDF5. He supports INCITE projects on Titan and contributes infrastructure-level design (AMP) enabling multi-domain MPI decomposition and runs at tens of thousands of cores, blending domain physics expertise with deep parallel software engineering. His hands-on work improving build automation and CMake portability for the QMCPACK quantum Monte Carlo project highlights a practical focus on reproducible, portable scientific software.
11 years of coding experience
2 years of employment as a software developer
PhD., Electrical and Computer Engineering, PhD., Electrical and Computer Engineering at Colorado State University
Github Skills (16)
compiler10
cmake10
build-automation10
clangd9
clang9
cprogramming-language9
c-language9
hpc8
cluster-computing8
accelerated-computing8
testing8
scientific-computing8
high-performance8
parallel-computing8
mpi7
Programming languages (3)
Github contributions (5)
QMCPACK/qmcpack
Nov 2014 - Sep 2016
Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support
Role in this project:
Automation Engineer
Automation EngineerContributions:27 commits in 1 year 10 months
Contributions summary:Mark's commits primarily focused on enhancing and adapting the CMake build system for the QMCPACK project. These changes included adding ctest capabilities, adjusting the ctest script for different build environments (e.g., mbt01, billmp1), and configuring compiler options for Intel and Clang compilers. The contributions also involved fixing compiler errors and making adjustments to ensure compatibility with C++11 standards, demonstrating a focus on build process automation and code portability.
quantum-monte-carlompiatomsgpu-supportc-plus-plus
AdvancedMultiPhysics/AMP
Aug 2024 - Apr 2025
Contributions:146 pushes, 1 branch in 8 months
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