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Harry Xu Professor (on leave 2022-2024 working on BreezeML)
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About Me
I am a Professor in the Computer Science Department of University of California, Los Angeles. In 2017, I worked at Microsoft Research as a Visiting Researcher where I created 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 development of a series of runtime bloat detection/performance optimization tools for IBM's enterprise Java customers (PLDI'09, PLDI'10-a, PLDI'10-b).
My research is in the general area of computer systems, ranging from programming languages and compilers, to runtime/operating/distributed systems and computer architecture. My current focus is on two areas: (1) infrastructures for future cloud computing (in particular, user-defined cloud) and (2) infrastructures that provide cheap scalability for ML applications (i.e., affordable AI).
I was one of the first academic researchers working on the problem of ``software bloat'', which eventually led to ONR's TPCP program. I also spearheaded the direction of optimizing large-scale data analytics with PL techniques. Our Yak GC (OSDI'16) was reimplemented and used by Huawei to power their telecommunication applications. Due to these contributions, I was awarded the 2018 Dahl-Nygaard Junior Prize, which is awarded each year to a junior researcher that has made promising contributions to the field of object orientation.
Professional
Current Projects (Some Recent Papers)
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VQPy: Object-Orientation for Modern Video Analytics
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Systems for Affordable Machine Learning (SIGCOMM'20, OSDI'21, NSDI'23-b, NSDI'23-c)
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Systems for Resource-Disaggregated
Datacenters (OSDI'20, PLDI'22-a, OSDI'22-best-paper, NSDI'23-a, NSDI'23-d)
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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
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Christian
Navasca (Ph.D. student starting Fall 2018; REU'17; Cum Laude 2018; UCI Outstanding Contribution to Research Award)
o Haoran Ma (Ph.D. student starting
Fall 2019, Summa Cum Laude and Excellent Undergraduate at Tsinghua, co-advised with Miryung Kim)
o Yifan Qiao (Ph.D. student starting
Fall 2019, Amazon Ph.D. Fellow 2022, Magna Cum Laude at Tsinghua, co-advised with Miryung Kim)
o Jiyuan Wang (Ph.D. student starting
Fall 2019, Tsinghua Xuetang Talents Scholar, co-advised with Miryung Kim)
o Shi Liu
(Ph.D. student starting Fall 2020, Guo Moruo Scholar at USTC)
o Pengzhan Zhao
(Ph.D. student starting Fall 2021, Excellent Graduate of XJTU, co-advised with Ravi
Netravali)
o Shan Yu
(Ph.D. student starting Fall 2022, Excellent Graduate of ZheJiang Univ., Intel DRA Award)
Alumni
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Chenxi Wang (PostDoc 2018-2022, first employment: Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences)
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Jonathan Eyolfson (PostDoc 2018-2022, first employment: Assistant Professor in teaching stream, University of Toronto)
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John
Thorpe (Ph.D. 2022, first employment: BreezeML Inc.)
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Arthi Padmanabhan (Ph.D. 2022, first employment: Assistant Professor, Harvey Mudd College)
o Usama Hameed (M.S. 2022, first employment: Apple)
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Yuanqi
Li (dropped out of Ph.D. due to startup)
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Khanh Nguyen (Ph.D. 2019, first employment: Google & Assistant Professor @ TAMU, Google Ph.D. Fellowship, Facebook Ph.D. Fellowship
Finalist)
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Kai Wang (Ph.D. 2019, first employment: Research Scientist @ Facebook System&Infrastructure)
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Zhiqiang Zuo (PostDoc
2015--2018; Assistant Professor @ Nanjing University)
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Lu Fang (Ph.D. 2017, first
employment: Research Scientist @ Facebook AI)
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Keval Vora (Ph.D. 2017, Co-advised
with Rajiv Gupta, first employment: Assistant Professor @ Simon Fraser
University)
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Shen Teng (M.S. 2021, first employment: Amazon)
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Gaohong Liu (M.S. 2021, first employment: RED (Xiaohongshu E-commerce))
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Cheng
Cai (M.S. 2020, first employment: Facebook)
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Bojun
Wang (M.S. 2019, first employment: Arista Networks)
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Guanzhou Hu (CSST 2019, currently Ph.D. student at UWisc)
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Tim
Nguyen (B.S. 2017, first employment: 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, first employment: Google)
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Chengxi
Li (2017 summer intern from Beckman
High, college: Berkeley CS)
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Emily
Hu (2016 summer intern from Northwood
High, college: Berkeley CS)
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Lawrence
Xu (2016 summer intern from University High,
college: Purdue CS)
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Louis
Zhang (2014 summer intern from Troy High,
college: Berkeley CS)
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Ankur
Gupta (2014 summer intern from University
High, college: Regent's Scholar at UCSD CS)
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Wendy
Wei (2013 summer intern from University High,
college: MIT CS)
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Allen
Min (2012 summer intern from Whitney High, college: UCI CS)
o Jonathon Tsai (2012 summer
intern from Whitney High,
college: 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)
Released Software Systems
- VQPy: An object-oriented approach to video analytics queries
- 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 .)