Pei Mu
Student at The University of Edinburgh
City of Edinburgh, Scotland, United Kingdom
Summary
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Rockstar🎓
Top SchoolPei Mu is a compiler-focused researcher and engineer with a decade of experience building high-performance compilation pipelines for AI accelerators. He has shipped deep learning compiler features and backend codegens at SenseTime and Huawei (TBE for Ascend), and interned on compiler research at Microsoft, blending systems-level compiler engineering with applied research in auto-scheduling and polyhedral transformations. His work spans IR and pass design, control-flow and extern_call support, and generation of device-specific code (BangC, Cambricon MLU), with concrete wins in operator compile-time reduction and runtime performance optimization. Now based in Edinburgh pursuing an MSc by Research in compilers, he pairs industrial delivery with academic rigor and an unusual depth in low-level codegen for specialized ML hardware.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, 85.75(100), Bachelor of Engineering - BE, 85.75(100) at 山东大学MSc by Research, compilers, MSc by Research, compilers at 英国爱丁堡大学
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (87)
textbook10
ecosystem9
sql9
database9
database-management9
pytorch9
compiler8
music8
embedded-database8
faunadb8
duckdb8
postgresql8
music-composition8
machine-learning8
analytics8
Programming languages (8)
Github contributions (5)
PeiMu/easy_compiler
Jun 2021 - Jun 2022
Contributions:5 commits, 11 pushes, 1 branch in 1 year
PeiMu/torch-mlir
Nov 2021 - Apr 2023
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Contributions:4 PRs, 49 pushes, 8 branches in 1 year 5 months
pytorchmlirdeep-learningtorchecosystem
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