Abstract. We present a “memory-model-sensitive” approach to validating correctness properties for multithreaded programs. Our key insight is that by specifying both the inter-t...
Abstract. Data race is one of the most dangerous errors in multithreaded programming, and despite intensive studies, it remains a notorious cause of failures in concurrent systems....
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...
Data races occur when multiple threads are about to access the same piece of memory, and at least one of those accesses is a write. Such races can lead to hard-to-reproduce bugs t...
—In the past, researchers have developed specialized programs to aid programmers in detecting concurrent programming errors such as deadlocks, livelocks, starvation, and data rac...