Experience

 
 
 
 
 
June 2018 – August 2018
California

Research Intern

Facebook Inc

Neural Network Optimization on Mobiles
 
 
 
 
 
April 2017 – July 2017
Beijing

Research Intern

Nvidia Inc

Neural Network Quantization
 
 
 
 
 
October 2013 – February 2014
Beijing

SDE Intern

Baidu Inc

Hadoop Workflow Optimization

Projects

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Extending HPCToolkit to provide a complete profile view for GPU-accelerated applications.

A fast, memory efficient, and light-weight implementation for gSpan algorithm in data mining. gBolt is up to 100x faster than the original implementation with multi-threading on a single machine. gBolt also reduces more than 200 folds memory usage, running efficiently on personal computers.

Recent Publications

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(2019). A tool for performance analysis of GPU-accelerated applications. Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO’19).

Source Document

(2018). Quadboost: A Scalable Concurrent Quadtree. IEEE Transactions on Parallel and Distributed Systems (TPDS’18).

Source Document

(2017). A performance analysis framework for exploiting GPU microarchitectural capability. Proceedings of the International Conference on Supercomputing (ICS’17).

Source Document

(2017). Understanding the GPU microarchitecture to achieve bare-metal performance tuning. ACM SIGPLAN Notices (PPoPP’17).

Source Document

(2015). BF-MapReduce: A Bloom Filter Based Efficient Lightweight Search. 2015 IEEE Conference on Collaboration and Internet Computing (CIC’15).

Source Document

See all publications

Recent & Upcoming Talks

Presented our GPU performance tool
Jul 29, 2019 12:00 AM Lake Tahoe, California
Slides

Presented the prototype of our GPU performance tool
Feb 20, 2019 12:00 AM Washington, D.C.
Poster Slides

Presented our ICS’17 work.
Jun 23, 2017 12:00 AM Northwestern University, Chicago
Slides

Discussed how state-of-the-art deep learning libraries optimize computations by utilizing architectural features.
Apr 1, 2017 12:00 AM Institute of Computing Technology, Chinese Academy of Sciences
Slides

Introduced various kinds of convolution methods and analyzed their complexities, memory consumptions, and data access patterns.
Jun 1, 2016 12:00 AM Institute of Computing Technology, Chinese Academy of Sciences
Slides

News

Topics

CPU Concurrent Algorithm Data Mining Data Structure Deep Learning GPU Parallel Computing Performance Tool