Jaro Hokkanen
Application Specialist (HPC)
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolJaro Hokkanen is an Application Specialist in High-Performance Computing with a decade of hands-on experience accelerating scientific codes for heterogeneous GPU architectures. He blends an analytical, engineering-first mindset with a preference for structured collaboration and clear delegation, delivering cost-effective, production-ready optimizations rather than abstract research. His background spans research and industry—from PhD-level computational mechanics work and GPU-based isogeometric finite element simulations to production optimization for aerospace and support of national supercomputing users at CSC. Jaro has deep practical expertise in C/C++, CUDA/HIP, MPI and OpenMP, and has contributed performance engineering to the CSC HPC summer school materials, including optimized Laplace solvers and GPU-accelerated kernels. Comfortable moving code into efficient, benchmarked production, he often uncovers non-obvious bottlenecks through careful profiling and pragmatic refactoring. Based in Helsinki, he pairs academic rigor with a track record of shipping measurable performance gains on next-generation supercomputers.
10 years of coding experience
Doctor of Philosophy (PhD), Computational Mechanics, Doctor of Philosophy (PhD), Computational Mechanics at The University of QueenslandBachelor's Degree, Aerospace, Aeronautical and Astronautical Engineering, Bachelor's Degree, Aerospace, Aeronautical and Astronautical Engineering at Aalto-yliopisto
English, Finnish, German
Github Skills (14)
c1710
performance-tuning10
fortran10
openmp10
performance-analytics10
performance-monitor10
hpc10
performance-analysis10
performance-monitoring10
c1110
gpu10
performance-measurement10
hip9
mpi7
Programming languages (8)
Github contributions (5)
csc-training/summerschool
Jun 2022 - Jul 2022
CSC Summer School in High-Performance Computing
Role in this project:
Performance Engineer
Performance EngineerContributions:24 commits, 81 pushes in 13 days
Contributions summary:Jaro primarily focused on optimizing the performance of HPC applications within the repository. Their commits demonstrate expertise in parallel computing using C and Fortran, with the implementation of a Laplace solver. The changes involve performance optimizations such as the use of OpenMP, GPU acceleration (likely using HIP), and code refactoring to improve efficiency. The commits suggest efforts to benchmark and analyze the performance of the applications.
summer-schoolmpihigh-performance-computingfortranperformance
csc-training/hip-programming
Nov 2021 - Nov 2022
Contributions:109 commits, 84 pushes in 1 year
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