ThreadSanitizer: data race detection in practice

By Kostya Serebryany, Timur Iskhodzhanov. WBIA '09, 2009

509 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Software

View Paper: https://www.semanticscholar.org/paper/a7f052df033d3ebcbbbc99b401c6b8318836614c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Rüdiger Kapitza
2. Peter R. Pietzuch
3. Anil Kurmus
4. Edward J. Schwartz
5. Nico Weichbrodt

In Hardware and Architecture

1. Rüdiger Kapitza
2. Peter R. Pietzuch
3. Anil Kurmus
4. Edward J. Schwartz
5. Nico Weichbrodt
6. Sang Kil Cha

In Software

1. Rüdiger Kapitza
2. Peter R. Pietzuch
3. Anil Kurmus
4. Manuel Egele
5. Edward J. Schwartz
6. Nico Weichbrodt
7. Sang Kil Cha

Citations in the corpus

• The Art, Science, and Engineering of Fuzzing: A Survey (2018, background): “Thread Sanitizer (TSan) [200] is a compile-time modification that detects data races.”
• AsyncShock: Exploiting Synchronisation Bugs in Intel SGX Enclaves (2016, methodology): “Although such bugs may seem benign and unlikely to occur, synchronisation bugs are likely to lead to exploitable security vulnerabilities [26, 7, 23].”
• CollAFL: Path Sensitive Fuzzing (2018, unknown): “There are many other sanitizers available, including UBSan [22], MemorySanitizer [39], LeakSanitizer [30], DataFlowsanitizer [2], ThreadSanitizer [33], and HexVASan [9].”