Peipei Zhou

Peipei Zhou

Assistant Professor of ECE Department

University of Pittsburgh

Biography

I joined the University of Pittsburgh, ECE department as a Tenure-Track Assistant Professor starting September 2021. I obtained my Ph.D. in Computer Science from University of California, Los Angeles in 2019 supervised by Prof. Jason Cong, who leads UCLA VAST(VLSI Architecture, Synthesis and Technology) Group. My major interest is in Customized Architecture and Programming Abstraction for Applications including Healthcare, e.g., Precision Medicine and Artificial Intelligence. I’m honored to receive “Outstanding Recognition in Research” from UCLA Samueli School of Engineering in 2019. I have also received 2019 TCAD Donald O. Pederson Best Paper Award in recognition of best paper published in the IEEE Transactions on CAD in the two calendar years preceding the award. My paper has also received 2018 ICCAD Best Paper Nominee, 2018 ISPASS Best Paper Nominee.

I’m actively recruiting PhD students and research interns! Self-motivated students with relevant research and project experience (compiler, GPU and FPGA programming, artificial intelligence algorithm and application development, etc.) are highly encouraged to contact me via email.
Download my resumé.
Former Website at UCLA

Interests
  • Application & Algorithm: Artificial Intelligence, Healthcare
  • Abstraction: Programming, Modeling and Optimization
  • Architecture: Heterogeneous Computing with FPGA, GPU, ASIC, NPU
Education
  • PhD in Computer Science, 2019

    University of California, Los Angeles

  • MSc in Electrical Engineering, 2014

    University of California, Los Angeles

  • BSc in Electrical Engineering, 2012

    Southeast University, Chien-Shiung Wu Honor College

Research Focus

Application

Health & Artificial Intelligence

Abstraction

Software

Accelerator

Hardware

Experience

 
 
 
 
 
Tenure-Track Assistant Professor
Sep 2021 – Present Pittsburgh, PA

Responsibilities include:

  • Tenure-Track Assistant Professor
 
 
 
 
 
Staff Software Engineering
Aug 2019 – Aug 2021 Shanghai

Responsibilities include:

  • High-Performance Convolution Neural Network Library for Deep Learning ASIC Acclerator
  • Pre-silicon Architecture Exploration and Performance Modeling
  • Post-silicon ASIC Bring-Up and System Software Optimization
 
 
 
 
 
Software Engineering Intern
Jun 2018 – Mar 2019 Los Angeles, CA

Responsibilities include:

  • Resource allocation and scheduling optimization for Genome Analysis Toolkit(GATK4) in the cloud.
  • Cost-Optimal heterogeneous computing by orchestrating seas of datacenter scale resources including computing (CPUs+GPU+FPGA accelerators), storage (HDD, SSD, local disk)
 
 
 
 
 
Software Engineering Intern
Microsoft
Jun 2017 – Sep 2017 Redmond, WA

Responsibilities include:

  • Developed a scalable end-to-end tool to generate >2M grammar fixed (preposition, article and etc.) sentences from Wikipedia.
  • Implemented LSTM-based neural network model for translation tasks
 
 
 
 
 
Research Intern
Jun 2014 – Sep 2014 Redmond, WA

Responsibilities include:

  • Implemented image compression algorithm in C++(software reference code) and also implemented hardware accelerator on FPGA

Honors

Caffeine won IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award
Donald O. Pederson Best Paper Award is dedicated to award the best paper published in IEEE TCAD in the recent two calendar years. Current Associate Editors of the IEEE TCAD nominates the best paper candidates first. Among the papers published in the past two years, the most referenced or downloaded papers are nominated automatically by the entire editorial board for review and voting. The editorial board nominated five papers this year, and another nine papers are automatically nominated for receiving highest downloads in the past two years. After the voting, a confidential review committee reviews the top five papers before deciding the final winners. The selection committee unanimously agreed to declare two of the candidates to be co-winners. The award is recognized at the Design Automation Conference (DAC) in Las Vegas on Jun. 4th, 2019.
See certificate
UCLA Outstanding Ph.D. Researcher Award
2019 UCLA Computer Science Department Outstanding Ph.D. Researcher Award
See certificate
Phi Tau Phi Scholarship
One of five recipients of 2018 Phi Tau Phi Scholarship in recognition of academic achievements and scholarly contributions.
See certificate

Projects

Recent & Upcoming Talks

Recent Publications

Contact

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