Li-ta Lo
Team Lead at Los Alamos National Laboratory
Los Alamos, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolLi-ta Lo is a seasoned software engineer and team lead with 25 years of experience spanning HPC, computational physics, and systems software at Los Alamos National Laboratory and industry. He leads the Data Science at Scale team and has a track record of tackling high-risk, exploratory research—pioneering cloud-based scientific computing and prototyping Spark-based solvers for PDEs and particle-mesh simulations. A strong C++ and Python practitioner with deep numerical-simulation expertise, he also contributes to core open-source HPC infrastructure, improving Open MPI collectives and adding support for new launch systems. Early in his career he was a founding Coreboot contributor and the first full-time Linux device driver developer at a major chipset vendor, reflecting a long-standing commitment to low-level, production-grade software. Based in Los Alamos, he blends hands-on algorithmic development with strategic leadership to bring experimental ideas into scalable science platforms.
25 years of coding experience
4 years of employment as a software developer
Master’s Degree Applied Mechanics, Master’s Degree Applied Mechanics at National Taiwan UniversityBachelor’s Degree Physics, Bachelor’s Degree Physics at National Chung Hsing University
English, Chinese
Github Skills (10)
algorithm10
c1710
data-structures10
algorithms10
mpi10
hpc10
openmpi10
c1110
data-structure10
fortran7
Programming languages (4)
Github contributions (5)
open-mpi/ompi
Dec 2006 - Apr 2007
Open MPI main development repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 6 comments in 3 months
Contributions summary:Li-ta's contributions primarily involve modifications and additions to the Open MPI codebase, focusing on enhancing its functionality and performance. They implemented new algorithms, like a binomial tree-based gather and scatter, and optimized existing collective communication routines. Furthermore, the user addressed code improvements, fixing a typo and removing temporary buffers in allgather operations. The user also introduced support for the XCPU launch system and refactored the code to leverage its capabilities.
mpicluster-computingfortranopenmpipetsc
lanl/PISTON
Sep 2011 - Oct 2013
Contributions:94 commits in 2 years 1 month
parallelparallel-dataportablecross-platformvisualization
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