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Harry Xu Professor
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About Me
I am a Professor in the Computer Science Department of University of California, Los Angeles. My research broadly covers computer systems, spanning programming languages, compilers, runtime/operating systems, distributed systems, and computer architecture. My current focus includes two main areas: (1) building infrastructures for future cloud computing, particularly user-defined clouds, and (2) creating scalable and cost-effective infrastructures for AI applications.
I co-founded BreezeML, a startup company that builds a software solution for GenAI risk management. In 2017, I worked at Microsoft Research as a Visiting Researcher where I initiated and led the development of a project that built an optimizing compiler (Niijima, SOSP'19) for Microsoft's Scope/Cosmos, a multilingual data analytics pipeline. I worked at IBM T. J. Waston Research Center as a Co-op/intern from 2008 to 2011 where I led the creation of of runtime bloat detection and performance optimization tools for IBM's enterprise Java customers (PLDI'09, PLDI'10-a, PLDI'10-b). Recently, our group developed VQPy, a system that has been integrated into Cisco's DeepVision platform to support complex video processing.
I was among the first academic researchers to address the problem of ``software bloat'', a field that eventually led to ONR's $200M TPCP program, funding over 100 projects across more than 60 universities in the U.S. Additionally, I pioneered the optimization of large-scale data analytics through programming language techniques. Our Yak GC (OSDI'16) was reimplemented by Huawei to support their telecommunication applications. In recognition of these contributions, I received the 2018 Dahl-Nygaard Junior Prize, awarded annually to a junior researcher with promising contributions to the field of object orientation. I am also an ACM Distinguished Scientist.
Professional
Current Projects (Some Recent Papers)
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The Open Virtual GPU Project (Prism, ConServe)
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Systems for Reliable Cloud Computing in the Presence of Silent CPU Errors (SOSP'25)
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Systems for Affordable, Efficient, and Scalable AI/ML (SIGCOMM'20, OSDI'21, NSDI'23-b, NSDI'23-c, NSDI'24-b, MLSys'24)
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Systems for Resource-Disaggregated
Datacenters (OSDI'20, PLDI'22-a, OSDI'22-best-paper, NSDI'23-a, NSDI'23-d, NSDI'24-a, OSDI'24-a, OSDI'24
-b)
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System Design for Emerging (Datacenter) Hardware (PLDI'19, PLDI'20, ASPLOS'21, PLDI'21-a, ASPLOS'22-a, ASPLOS'22-b, PLDI'22-b, OSDI'22-b)
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IoT Usablity and Security (SEC'18, FSE'20-a)
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Graph Systems for Static Code
Analysis and Other Workloads (ASPLOS'17-a, ASPLOS'17-b, OSDI'18, EuroSys'19, PLDI'21-b, TOCS'21, EuroSys'23)
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Big Data Systems and their
Runtime Support (SOSP'15, ASPLOS'15, OSDI'16, ASPLOS'18, SOSP'19-a, SOSP'19-b)
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Software Bloat Detection and
Optimization (ECOOP'15, PLDI'18, FSE'20-b)
Research Group
o Junyi Shu
(PostDoc Researcher starting 2025, Outstanding PhD Dissertation Award at PKU)
o Shan Yu
(Ph.D. student starting Fall 2022, Excellent Graduate of ZheJiang Univ., Intel DRA Award)
o Zhenting Zhu
(Ph.D. student starting Fall 2023, Yao Award, Andrew Yao Class at Tsinghua, Gold Medalist IOI 2018)
o Shu Anzai
(Ph.D. student starting Fall 2023, Funai Overseas Scholarship, University of Tokyo)
o Yicheng Liu
(Ph.D. student starting Fall 2024, Co-advised with Sam Kumar, Top Graduate of Shanghai Jiaotong U.)
o Yue Jin
(Ph.D. student starting Fall 2025, Most Innovative Spirit Award from the Ant Group)
Alumni
o Shi Liu
(Ph.D. 2025, UCLA => Databricks)
o Jiyuan Wang (Ph.D. 2025, UCLA => AWS)
o Haoran Ma (Ph.D. 2024, UCLA => ByteDance AI Infra)
o Yifan Qiao (Ph.D. 2024, UCLA => Postdoc Researcher, Sky Computing Lab, UC Berkeley)
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Christian
Navasca (Ph.D. 2023, UCLA => BreezeML)
o Pengzhan Zhao
(M.S. 2023, UCLA => BreezeML => AMD)
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Chenxi Wang (PostDoc 2018-2022, UCLA => Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences)
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Jonathan Eyolfson (PostDoc 2018-2022, UCLA => Assistant Professor in teaching stream, University of Toronto)
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John
Thorpe (Ph.D. 2022, UCLA => BreezeML Inc.)
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Arthi Padmanabhan (Ph.D. 2022, UCLA => Assistant Professor, Harvey Mudd College)
o Usama Hameed (M.S. 2022, UCLA => Apple)
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Yuanqi
Li (dropped out of Ph.D. due to startup)
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Khanh Nguyen (Ph.D. 2019, UCLA => Assistant Professor @ TAMU, Google Ph.D. Fellowship, Facebook Ph.D. Fellowship
Finalist)
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Kai Wang (Ph.D. 2019, UCLA => Facebook System&Infrastructure)
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Zhiqiang Zuo (PostDoc
2015--2018; UCI => Assistant Professor @ Nanjing University)
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Lu Fang (Ph.D. 2017, UCI => Facebook AI, Co-creator of PyTorch and ONNX)
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Keval Vora (Ph.D. 2017, Co-advised
with Rajiv Gupta, UCR => Assistant Professor @ Simon Fraser
University)
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Shen Teng (M.S. 2021, UCLA => AWS)
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Gaohong Liu (M.S. 2021, UCLA => RED (Xiaohongshu E-commerce) => ByteDance Seed)
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Cheng
Cai (M.S. 2020, UCLA => Facebook)
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Bojun
Wang (M.S. 2019, UCI => Arista Networks)
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Guanzhou Hu (CSST 2019, UCLA => Ph.D. student at UWisc)
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Tim
Nguyen (B.S. 2017, UCI => Facebook)
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Aftab
Hussain (M.S. Fall 2017)
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Matthew
Hartz (B.S. 2015)
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Jianfei Hu
(M.S. 2015, UCI => Google)
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Chengxi
Li (2017 summer intern from Beckman
High => Berkeley CS)
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Emily
Hu (2016 summer intern from Northwood
High => Berkeley CS)
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Lawrence
Xu (2016 summer intern from University High => Purdue CS)
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Louis
Zhang (2014 summer intern from Troy High => Berkeley CS)
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Ankur
Gupta (2014 summer intern from University
High => Regent's Scholar at UCSD CS)
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Wendy
Wei (2013 summer intern from University High => MIT CS)
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Allen
Min (2012 summer intern from Whitney High => UCI CS)
o Jonathon Tsai (2012 summer
intern from Whitney High => UCI CS)
Teaching
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CS 239: Large-Scale Machine Learning Systems (Spring 2020)
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CS 111: Operating Systems (Spring 2019, Winter 2020, Winter 2021)
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CS 214: Big Data Systems (Fall 2018, Fall 2019, Fall 2020)
Recent Services
Released Software Systems (Our Github Repos)
- The Open GPU Sharing Project
- Atlas: A hybrid data plane for remote memory applications
- DRust: An ownership-based DSM system
- VQPy: An object-oriented approach to video analytics queries
- Midas: Soft Memory as an OS service
- Hermit: A low-overhead and high-throughput swap system for remote memory via feedback-directed asynchrony
- Canvas: An isolatd and adaptive swap system for remote memory
- MemLiner: A remote-memory-friend runtime system
- Mako: A low-pause, high-throughput evacuating collector for memory-disaggregated datacenters
- Dorylus: Affordable and scalable GNN training with scale-out CPU servers and thousands of serverless threads
- JPortal: Java Virtual Machine support for Intel PT
- Chianina: An evolving graph system for fully context- and flow-sensitive static analysis
- Semeru: A memory-disaggregated managed runtime
- Reducto: an on-camera frame filtering system for
efficient video analytics
- Grapple: A graph system for finite state property checking for very large systems
- RStream: A
single-machine, disk-based graph mining system
- Graspan: A
disk-based parallel graph system for dynamic transitive closure
computation
- Facade: A compiler and
runtime system for efficient Big Data systems
- Statistical
debugging based on abstraction refinement
- PerfBlower:
A performance problem amplification framework and an instrumentation
specification language
- GraphQ:
Analytical query processing based on abstraction refinement over very
large graphs
- Resurrector: A new object lifetime profiler
- Demand-driven
context-sensitive alias analysis for Java
- LeakChaser: A Java memory leak detector
- AJANA: A framework for source-code-level
analysis of AspectJ software
Why I Believe
I am a Protestant Christian. I regularly attend and help with several campus fellowships at both UCLA and UC Irvine.
- How can one be a CS professor and a Christian? (collected by George Varghese)
Contact Information
harryxu at cs dot ucla dot edu
http://www.cs.ucla.edu/~harryxu
Office:
Engineering VI, Room 496A
Computer Science Department
BOX 951596, UCLA
Los Angeles, CA 90095-1596
Work: 310-794-7145
Last updated: June 8, 2018
Maintained by harryxu at cs
dot cs dot ucla dot edu (replace dot with .)