2026-09-19T03:25:39Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81628 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Torrellas, Josep Prvulovic, Milos 2015-09-25T20:19:36Z 2015-09-25T20:19:36Z 10000-01-01 2003 2003 ReEnact improves reliability of multi-threaded software by providing an effective data-race debugging support. ReEnact extends thread-level speculation (TLS) mechanisms to roll back the buggy execution and repeat it as many times as necessary until the bug is fully characterized. These incremental re-executions are deterministic even in multi-threaded codes. The specific implementation of ReEnact detailed and evaluated in this thesis targets data-races in multi-threaded programs. Our experiments using SPLASH-2 applications show that ReEnact is very effective at detecting and characterizing data-race bugs automatically on the fly. This we consider the most valuable contribution of ReEnact. Moreover, in many cases, ReEnact also repairs the bug. Last but not least, ReEnact is fully compatible with production runs: the slowdown of race-free execution is on average only 5.8%. Made available in DSpace on 2015-09-25T20:19:36Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3101951.pdf: 5878273 bytes, checksum: b425ecc54246169dff8b9c7d8326815c (MD5) Previous issue date: 2003 Embargo set by: Seth Robbins for item 82909 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 108 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003. http://hdl.handle.net/2142/81628 (MiAaPQ)AAI3101951 eng Computer Science Architectural Support for Reliable Parallel Computing text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.