scholarly journals Record-and-Replay Techniques for HPC Systems: A Survey

2018 ◽  
Vol 5 (1) ◽  
Keyword(s):  
Record And Replay

scholarly journals Processor-Oblivious Record and Replay

2019 ◽  
Vol 6 (4) ◽  
pp. 1-28
Author(s):  
Robert Utterback ◽  
Kunal Agrawal ◽  
I-Ting Angelina Lee ◽  
Milind Kulkarni
Keyword(s):  
Record And Replay

Pragmatic source code reuse via execution record and replay

2016 ◽  
Vol 28 (8) ◽  
pp. 642-664 ◽  
Author(s):  
Ameer Armaly ◽  
Collin McMillan
Keyword(s):  
Source Code ◽  
Code Reuse ◽  
Record And Replay

Optimizing Checkpoint with Record and Replay

2016 ◽  
Author(s):  
Wen-zhe ZHANG ◽  
Kai LU ◽  
Xiao-ping WANG
Keyword(s):  
Record And Replay

GPS IF Data Record and Replay System Based on FPGA

2012 ◽  
pp. 187-197
Author(s):  
Kunlun Yan ◽  
Jiansheng Zheng ◽  
Tisheng Zhang ◽  
Di Zhang ◽  
Jinfeng Liu
Keyword(s):  
Data Record ◽  
Record And Replay

scholarly journals Debugging Nondeterministic Failures in Linux Programs through Replay Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Shakaiba Majeed ◽  
Minsoo Ryu
Keyword(s):  
Real World ◽  
Production Systems ◽  
Memory Access ◽  
Analysis Method ◽  
Concurrency Bugs ◽  
Real World Applications ◽  
Record And Replay ◽  
Access Patterns ◽  
Event Based ◽  
Concurrency Bug

Reproducing a failure is the first and most important step in debugging because it enables us to understand the failure and track down its source. However, many programs are susceptible to nondeterministic failures that are hard to reproduce, which makes debugging extremely difficult. We first address the reproducibility problem by proposing an OS-level replay system for a uniprocessor environment that can capture and replay nondeterministic events needed to reproduce a failure in Linux interactive and event-based programs. We then present an analysis method, called replay analysis, based on the proposed record and replay system to diagnose concurrency bugs in such programs. The replay analysis method uses a combination of static analysis, dynamic tracing during replay, and delta debugging to identify failure-inducing memory access patterns that lead to concurrency failure. The experimental results show that the presented record and replay system has low-recording overhead and hence can be safely used in production systems to catch rarely occurring bugs. We also present few concurrency bug case studies from real-world applications to prove the effectiveness of the proposed bug diagnosis framework.

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