Sciweavers

96 search results - page 2 / 20
» Detecting Data Races in Sequential Programs with DIOTA
Sort
View
ASPLOS
2012
ACM
13 years 11 months ago
Data races vs. data race bugs: telling the difference with portend
Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Alas, spotting just the harmful data races in programs is like ï...
Baris Kasikci, Cristian Zamfir, George Candea
158
Voted
PLDI
2012
ACM
13 years 6 months ago
Scalable and precise dynamic datarace detection for structured parallelism
Existing dynamic race detectors suffer from at least one of the following three limitations: (i) space overhead per memory location grows linearly with the number of parallel thre...
Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin...
137
Voted
POPL
2012
ACM
13 years 11 months ago
Sound predictive race detection in polynomial time
Data races are among the most reliable indicators of programming errors in concurrent software. For at least two decades, Lamport’s happens-before (HB) relation has served as th...
Yannis Smaragdakis, Jacob Evans, Caitlin Sadowski,...
166
Voted
ASPLOS
2011
ACM
14 years 7 months ago
ConSeq: detecting concurrency bugs through sequential errors
Concurrency bugs are caused by non-deterministic interleavings between shared memory accesses. Their effects propagate through data and control dependences until they cause softwa...
Wei Zhang, Junghee Lim, Ramya Olichandran, Joel Sc...
151
Voted
ISCA
2009
IEEE
199views Hardware» more  ISCA 2009»
15 years 10 months ago
SigRace: signature-based data race detection
Detecting data races in parallel programs is important for both software development and production-run diagnosis. Recently, there have been several proposals for hardware-assiste...
Abdullah Muzahid, Darío Suárez Graci...