Brief Announcement: RaceTM - Detecting Data Races Using Transactional Memory

Provided by: Association for Computing Machinery
Topic: Data Centers
Format: PDF
Widespread emergence of multicore processors will spur development of parallel applications, exposing programmers to more hardware concurrency. Dependable multithreaded software will have to rely on the ability to dynamically detect data races, which are non-deterministic and notoriously hard to reproduce symptoms of synchronization bugs. In this paper, the authors propose RaceTM, a novel approach that exploits transactional memory support to detect data races. They introduce the concept of lightweight debug transactions that exploit the conflict detection mechanisms of transactional memory systems to perform data race detection.

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