Benefiting from the recent hardware improvement, multithreaded programs may still introduce concurrency defects which are notoriously difficult to detect, due to the non-deterministic program behavior. One of such defects is known as data race. Programs which have data races often results in inconsistent data and unpredictable behavior. Conventional hybrid approaches of detecting data races suffer from either excessive analysis overhead or precision loss.In this thesis, we introduce three hybrid algorithms for detecting data races in multithreaded programs. By leveraging recent advances on more efficiently tracking the happens-before relation and by developing new lockset algorithms, our detectors can find more potential data races with les...
Dynamic race detectors operate by analyzing execution traces of programs to detect races in multithr...
Data races are among the most common bugs in concurrency. The standard approach to data-race detecti...
Some researchers have proposed data-race exceptions to mitigate the ill effects of data races in sha...
1. Data races are easy to cause and hard to debug. 2. We can't detect all data races. 3. Detect...
Multithreaded programs are prone to concurrency errors such as deadlocks, race conditions and atomic...
Thesis (Ph.D.)--University of Washington, 2014Some researchers have proposed data-race exceptions to...
AbstractData races in multithread programs are representative software defects of accesses to shared...
Multi-threading is a methodology that has been extremely used. Modern software depends essentially o...
Data races represent the most notorious class of concurrency bugs in multithreaded programs. To dete...
Detecting data races in modern code executing on multicore processors is challenging. Instrumentatio...
The rapid progress of multi/many‐core architectures has caused data‐intensive parallel applications ...
If two parallel threads access the same location and at least one of them performs a write, a race e...
Multithreaded programming is difficult and error prone. It is easy to make a mistake in synchronizat...
The rapid progress of multi/many-core architectures has caused data-intensive parallel applications ...
Abstract. We present new techniques for fast, accurate and scalable static race detection in concurr...
Dynamic race detectors operate by analyzing execution traces of programs to detect races in multithr...
Data races are among the most common bugs in concurrency. The standard approach to data-race detecti...
Some researchers have proposed data-race exceptions to mitigate the ill effects of data races in sha...
1. Data races are easy to cause and hard to debug. 2. We can't detect all data races. 3. Detect...
Multithreaded programs are prone to concurrency errors such as deadlocks, race conditions and atomic...
Thesis (Ph.D.)--University of Washington, 2014Some researchers have proposed data-race exceptions to...
AbstractData races in multithread programs are representative software defects of accesses to shared...
Multi-threading is a methodology that has been extremely used. Modern software depends essentially o...
Data races represent the most notorious class of concurrency bugs in multithreaded programs. To dete...
Detecting data races in modern code executing on multicore processors is challenging. Instrumentatio...
The rapid progress of multi/many‐core architectures has caused data‐intensive parallel applications ...
If two parallel threads access the same location and at least one of them performs a write, a race e...
Multithreaded programming is difficult and error prone. It is easy to make a mistake in synchronizat...
The rapid progress of multi/many-core architectures has caused data-intensive parallel applications ...
Abstract. We present new techniques for fast, accurate and scalable static race detection in concurr...
Dynamic race detectors operate by analyzing execution traces of programs to detect races in multithr...
Data races are among the most common bugs in concurrency. The standard approach to data-race detecti...
Some researchers have proposed data-race exceptions to mitigate the ill effects of data races in sha...