Abstract
Detecting first races is important for debugging shared memory parallel programs including sequential programs that use concurrent signal handlers because the removal of such data races may cause other data races in the program to disappear. Unfortunately, existing tools for sequential programs do not focus on first race detection or report only the single data race detected first in a program execution which is not enough for a program debugging. This paper presents an efficient on-the-fly technique that uses an existing lightweight labeling scheme to collect and filter at most four access candidates for each shared variable for an effective first race detection in sequential programs. An evaluation of our technique on a set of synthetic programs shows its ability to report first races.
This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency), NIPA-2012-H0301-12-3003.
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Dorankula, S., Tchamgoue, G.M., Jun, YK. (2012). Efficient Detection of First Races in Concurrent Signal Handlers. In: Kim, Th., Cho, Hs., Gervasi, O., Yau, S.S. (eds) Computer Applications for Graphics, Grid Computing, and Industrial Environment. CGAG GDC IESH 2012 2012 2012. Communications in Computer and Information Science, vol 351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35600-1_23
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DOI: https://doi.org/10.1007/978-3-642-35600-1_23
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