Jacob Tørring
Research Engineer, AI Systems at Norwegian University of Science and Technology (NTNU)
Menlo Park, California, United States
Summary
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Senior🎓
Top SchoolJacob Tørring is a research engineer and PhD candidate specializing in autotuning and empirical program optimization for high-performance computing, currently based in Menlo Park and working at the intersection of academia and industry. With nine years of experience, he has led cross-institutional projects (CATBench, BAT) and produced large-scale CUDA autotuning datasets used to train LLMs for kernel optimization. His background spans building and administering SLURM HPC clusters, designing novel benchmarking techniques that sped autotuning searches by up to 116x, and hands-on systems work from satellite OBCs to production DevOps pipelines. A former visiting researcher at Stanford and exchange student at KAIST, he blends rigorous algorithmic training with practical systems engineering and community-driven open research.
9 years of coding experience
8 years of employment as a software developer
Norwegian University of Science and TechnologyGraduate exchange student, Computer Science, Graduate exchange student, Computer Science at Korea Advanced Institute of Science and TechnologyVisiting Student Researcher, Computer Science, Visiting Student Researcher, Computer Science at Stanford University
English, Danish, Norwegian, Spanish, Japanese, Korean
Github Skills (25)
auto-tuning10
ios10
mobile-game10
benchmarking10
anova10
statistical-tests10
taiko10
bayesian-statistics9
statistics9
kernel9
cuda8
pandas8
hpc8
gpu7
multi-gpu6
Programming languages (8)
Github contributions (5)
NTNU-HPC-Lab/BAT
Dec 2021 - Jan 2023
A GPU benchmark suite for autotuners
Contributions:1 release, 2 reviews, 146 commits in 1 year 1 month
gpubenchmarkingkernelhpccuda
Zymrael/torchSODE
May 2019 - Oct 2019
Multi-GPU ODE solver optimized for Deep Learning
Contributions:89 commits, 4 PRs, 82 pushes in 5 months
deep-learningmulti-gpuode-solver
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