@inproceedings{gonzalez-alberquilla2011accelerating,
author = {Gonzalez-Alberquilla, Rodrigo and Strauss, Karin and Ceze, Luis and Piñuel, Luis},
title = {Accelerating Data Race Detection with Minimal Hardware Support},
booktitle = {EuroPar 2011 (International Conference on Parallel and Distributed Computing)},
year = {2011},
month = {August},
abstract = {We propose a high performance hybrid hardware/software solution to race detection that uses minimal hardware support. This hardware extension consists of a single extra instruction, StateChk, that simply returns the coherence state of a cache block without requiring any complex traps to handlers. To leverage this support, we propose a new algorithm for race detection. This detection algorithm uses StateChk to eliminate many expensive operations. We also propose a new execution schedule manipulation heuristic to achieve high coverage rapidly. This approach is capable of detecting virtually all data races detected by a traditional happened-before data race detection approach, but at significantly lower space and performance overhead.},
publisher = {Springer},
url = {http://approjects.co.za/?big=en-us/research/publication/accelerating-data-race-detection-with-minimal-hardware-support/},
edition = {EuroPar 2011 (International Conference on Parallel and Distributed Computing)},
}