Andrew Mundy

Staff Engineer at Arm

South Norfolk, England, United Kingdom
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Summary

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Andrew Mundy is a Staff Engineer at Arm with 13 years' experience translating research ideas into production-quality machine learning software and kernels for experimental computer architectures. He specializes in metaprogramming and code generation for high-performance GEMM and ML kernels, numerical improvements to fast convolution algorithms (Winograd), and mapping spiking neural networks and the Neural Engineering Framework onto massively parallel SpiNNaker hardware. His background blends a PhD in computer science with hands-on machine management and routing-compression techniques for constrained distributed machines, giving him unusual depth in both low-level optimization and system-scale mapping. Colleagues know him for squeezing accuracy and performance out of novel architectures and for turning complex neuroscience models into runnable, optimised systems.
code13 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at The University of Manchester
bookBEng, Electrical & Electronic Engineering, 1st Class (Hons), BEng, Electrical & Electronic Engineering, 1st Class (Hons) at University of Newcastle-upon-Tyne
languagesGerman, French, English
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Github Skills (51)

armv710
structures9
python9
linux9
placement9
opencl9
partitioning9
armv89
neon9
android9
sve9
neuroscience9
spinnaker9
cpp9
simd9

Programming languages (4)

C++CCythonPython

Github contributions (5)

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Contributions:53 commits, 11 PRs, 42 pushes in 10 months
minimizationimplementationsfasterroutingrouting-table
project-rig/nengo_spinnaker

Apr 2015 - May 2017

SpiNNaker based Nengo simulator.
Contributions:6 releases, 185 PRs, 521 pushes in 2 years 1 month
simulatorsimulationnengospinnakerneural-networks
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