Jonathan Hogg
High Performance Low Level Programmer at Apple
Greater Oxford Area United Kingdom
Summary
👤
Senior🎓
Top SchoolJonathan Hogg is a high-performance low-level programmer with 12 years of experience building parallel numerical libraries and sparse linear algebra solvers, currently working at Apple. With a PhD in Numerical Analysis from Edinburgh and a background managing the renowned HSL library at STFC, he blends deep theory with production-grade Fortran, C/C++ and CUDA implementations. He has led numerical analysis research, library governance, and commercial maintenance, demonstrating both technical leadership and customer-facing responsibility. Known for squeezing performance from sparse direct methods on HPC systems, he brings rare expertise at the intersection of algorithm design and low-level optimization. Based in the Greater Oxford Area, he pairs rigorous academic training with a track record of moving research-quality solvers into robust, parallel software.
12 years of coding experience
8 years of employment as a software developer
PhD, Numerical Analysis, PhD, Numerical Analysis at The University of EdinburghBA, Mathematics, II.i, BA, Mathematics, II.i at University of Cambridge
Github Skills (51)
sparse10
parallel10
matrix-multiplication10
sparse-matrix10
mpi10
blas10
petsc10
lapack10
linear-algebra10
solver8
angularjs8
least-squares8
programming-language8
golang8
instantiation7
Programming languages (5)
Github contributions (5)
ralna/spral
Mar 2014 - Sep 2016
Sparse Parallel Robust Algorithms Library
Contributions:2 releases, 1309 commits, 133 pushes in 2 years 6 months
lapackmpilinear-algebramatrix-multiplicationsparse-matrix
jhogg41/gm-o-matic
May 2015 - Jul 2015
Contributions:41 pushes, 1 branch in 1 month
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