Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Thu 14 Nov 2019 11:20 - 11:40 at Cortez 1 - Concurrency Chair(s): Elena Sherman

While CUDA has been the dominated parallel computing platform and programming model for general-purpose GPU computing, CUDA synchronization undergoes significant challenges for GPU programmers due to its intricate parallel computing mechanism and coding practices. In this paper,we propose AuCS, the first general framework to automate synchronization for CUDA kernel functions. AuCS transforms the original LLVM-level CUDA program control flow graph in a semantic-preserving manner for exploring the possible barrier function locations. Accordingly, AuCS develops mechanisms to correctly place barrier functions for automating synchronization in multiple erroneous (challenging-to-be-detected) synchronization scenarios, including data race, barrier divergence, redundant barrier functions. To evaluate the effectiveness and efficiency of AuCS, we conduct an intensive set of experiments and the results suggest that AuCS can automate 20 out of 24 erroneous synchronization scenarios.

Thu 14 Nov

10:40 - 12:20: Papers - Concurrency at Cortez 1
Chair(s): Elena ShermanBoise State University
ase-2019-papers10:40 - 11:00
MAP-Coverage: a Novel Coverage Criterion for Testing Thread-Safe Classes
Zan WangCollege of Intelligence and Computing, Tianjin University, Yingquan ZhaoCollege of Intelligence and Computing, Tianjin University, Shuang LiuCollege of Intelligence and Computing, Tianjin University, Jun SunSingapore Management University, Singapore, Xiang ChenSchool of Information Science and Technology, Nantong University, Huarui LinCollege of Intelligence and Computing, Tianjin University
ase-2019-papers11:00 - 11:20
Automating Non-Blocking Synchronization In Concurrent Data Abstractions
Jiange ZhangUniversity of Colorado Colorado Springs, Qing YiUniversity of Colorado Colorado Springs, Damian DechevUniversity of Central Florida
ase-2019-papers11:20 - 11:40
Automating CUDA Synchronization via Program Transformation
Mingyuan WuSouthern University of Science and Technology, Lingming ZhangThe University of Texas at Dallas, Cong LiuEindhoven University of Technology, Shin Hwei TanSouthern University of Science and Technology, Yuqun ZhangSouthern University of Science and Technology
ase-2019-papers11:40 - 12:00
Efficient Transaction-Based Deterministic Replay for Multi-threaded Programs
Ernest Bota PobeeCity University of Hong Kong, Xiupei MeiCity University of Hong Kong, Wing-Kwong ChanCity University of Hong Kong, Hong Kong
ase-2019-Demonstrations12:00 - 12:10
VeriSmart 2.0: Swarm-Based Bug-Finding for Multi-Threaded Programs with Lazy-CSeq
Bernd FischerStellenbosch University, Salvatore La TorreUniversità degli Studi di Salerno, Gennaro ParlatoUniversity of Molise
ase-2019-Demonstrations12:10 - 12:20
ConVul: An Effective Tool for Detecting Concurrency Vulnerabilities
Ruijie MengUniversity of Chinese Academy of Sciences, Biyun ZhuUniversity of Chinese Academy of Sciences, Hao YunUniversity of Chinese Academy of Sciences, Haicheng LiUniversity of Chinese Academy of Sciences, Yan CaiInstitute of Software, Chinese Academy of Sciences, Zijiang YangWestern Michigan University