Hang Yan

Graduate Research Assistant

Old Toronto, Ontario, Canada
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Summary

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Hang Yan is a PhD student and graduate research assistant at the University of Toronto with six years of hands-on experience in computer architecture, CAD support for reconfigurable systems, and high-performance accelerator research. His work spans academia and open source, from wafer-scale GPU simulation and sparse linear-algebra accelerator design to contributing build and release updates for the widely used Spack package manager. He has driven practical performance gains—such as a 58x speedup on multi-GPU quantum circuit simulation—and explored CUDA CPU emulation for CI testing during a Google Summer of Code project. Comfortable across hardware-software boundaries, Hang combines rigorous research with tooling and automation skills that help make complex software stacks reproducible and easier to deploy.
code6 years of coding experience
bookDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of Toronto
bookBachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Huazhong University of Science and Technology
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Stackoverflow

Stats
181reputation
200kreached
3answers
0questions
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Github Skills (14)

updater10
build-tools10
software-update10
appupdate10
in-app-updates10
python10
package10
package-management10
scientific-computing9
autotools8
hpc7
pandas6
csv6
dataframe6

Programming languages (6)

TypeScriptC++JavaScriptGoHTMLPython

Github contributions (5)

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spack/spack

Mar 2021 - May 2021

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Role in this project:
userAutomation Engineer / Build & Release Engineer
Contributions:14 reviews, 5 commits, 6 PRs in 1 month
Contributions summary:Hang contributed to the Spack package manager by adding and updating package versions for various software dependencies. Their commits focused on adding new releases of curl, Erlang, Chapel and updating the existing packages of cub and thrust. This suggests a focus on maintaining and expanding the availability of different software versions within the Spack environment. Their work directly impacts the ability of Spack users to access and utilize specific software versions.
compilerspythonradiussplatformslinux
ueqri/vtr-verilog-to-routing

Jun 2024 - Apr 2025

Contributions:33 pushes, 8 branches in 9 months
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Hang Yan - Graduate Research Assistant