Profile

PhD Student in Compilers

Institute for Computing Systems Architecture
School of Informatics
The University of Edinburgh
3.48 Informatics Forum
10 Crichton St,
Edinburgh, Scotland
EH8 9AB

Email: ds1231h@gmail.com
GitHub: https://github.com/PeiMu

Pei Mu is a PhD student supervised by Antonio Barbalace and Amir Shaikhha, with the Institute for Computing Systems Architecture (ICSA) in the School of Informatics at The University of Edinburgh.

His research interests are deep learning compilers (e.g. MLIR, TVM) on new architectures (e.g. Cerebras, GraphCore, etc.), traditional compilers (e.g. LLVM), and database management systems.

Education

• 2022-now
  PhD (Compiler Optimization) - Informatics, the University of Edinburgh
• 2014-2018
  BSc Hons in Engineering - Shandong University

Industry Experiences

• Microsoft Research Lab – Asia
  Internship in the system group - Deep Learning Compilers
• SenseTime
  Researcher in Research Institute - Deep Learning Compiler Group
• Huawei Technologies Co., Ltd
  Algorithm Engineer in 2012 Lab - Compiler and Programming Language Lab

Publication

• Mu, P., Mavrogeorgis, N., Vasiladiotis, C., Tsoutsouras, V., Kaparounakis, O., Stanley-Marbell, P. and Barbalace, A., 2024, February. CoSense: Compiler Optimizations using Sensor Technical Specifications. In Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction (pp. 73-85).
• Mavrogeorgis, N., Vasiladiotis, C., Mu, P., Khordadi, A., Franke, B. and Barbalace, A., 2024, February. UNIFICO: Thread Migration in Heterogeneous-ISA CPUs without State Transformation. In Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction (pp. 86-99).
• Machine Learning Systems: Design and Implementation, Chapter 7, Compiler Backend and Runtime
• Zhang L (Corresponding author), Mu P, Kim JW. Implement of extended shortcut tree routing for ZigBee-based car park wireless sensor management system. In 2017 4th International Conference on Systems and Informatics (ICSAI) 2017 Nov 11 (pp. 890-894). IEEE.
• Zhang L (Corresponding author), Liu X, Mu P, Kim JW. Design of Intelligent Diagnosis System for Heavyweight Measurement System Based on IOT. In 2016 International Conference on Electrical, Mechanical and Industrial Engineering 2016 Apr (pp. 285-288). Atlantis Press.

Awards

• Huawei technology breakthrough award, 2020
• Huawei technology breakthrough award, 2019
• ICM/MCM - honorable mention, 2017
• ICM/MCM - honorable mention, 2016
• CUMCM - First prize of Shandong Province, 2016
• CUMCM - Third prize of Shandong Province, 2015

Patent

• Title of invention: Method, device and electronic equipment for optimizing vectorization in compilation process - Public number (public) CN112947932A