Wed 15 Jun 2016 14:00 - 14:30 at Grand Ballroom Santa Ynez - Testing & Debugging Chair(s): Benjamin Zorn

We present the systematic design of a testing environment that uses stressing and fuzzing to reveal errors in GPU applications that arise due to weak memory effects. We evaluate our approach on seven GPUs spanning three Nvidia architectures, across ten CUDA applications that use fine-grained concurrency. Our results show that applications that rarely or never exhibit errors related to weak memory when executed natively can readily exhibit these errors when executed in our testing environment. Our testing environment also provides a means to identify the root causes of erroneous weak effects, and automatically suggests how to insert fences that harden the application against weak memory bugs. To understand the cost of GPU fences we benchmark applications with fences provided by the hardening strategy as well as a more conservative, sound fencing strategy.

Wed 15 Jun

Displayed time zone: Tijuana, Baja California change

13:30 - 15:00
Testing & DebuggingResearch Papers at Grand Ballroom Santa Ynez
Chair(s): Benjamin Zorn Microsoft Research
13:30
30m
Talk
Coverage-Directed Differential Testing of JVM Implementations
Research Papers
Yuting Chen Shanghai Jiao Tong University, Ting Su East China Normal University, Chengnian Sun University of California at Davis, USA, Zhendong Su University of California, Davis, Jianjun Zhao Shanghai Jiao Tong University
Media Attached
14:00
30m
Talk
Exposing Errors Related to Weak Memory in GPU Applications
Research Papers
Tyler Sorensen University College London, Alastair F. Donaldson Imperial College London
Pre-print Media Attached
14:30
30m
Talk
Lightweight Computation Tree Tracing for Lazy Functional Languages
Research Papers
Maarten Faddegon University of Kent, UK, Olaf Chitil University of Kent, UK
Media Attached