Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99506
Title: Efficient detection of determinacy races in Cilk programs
Authors: Feng, Mingdong 
Leiserson, Charles E. 
Issue Date: 1997
Source: Feng, Mingdong,Leiserson, Charles E. (1997). Efficient detection of determinacy races in Cilk programs. Annual ACM Symposium on Parallel Algorithms and Architectures : 1-11. ScholarBank@NUS Repository.
Abstract: A parallel multithreaded program that is ostensibly deterministic may nevertheless behave nondeterministically due to bugs in the code. These bugs are called determinacy races, and they result when one thread updates a location in shared memory while another thread is concurrently accessing the location. We have implemented a provably efficient determinacy-race detector for Cilk, an algorithmic multithreaded programming language. If a Cilk program run on a given input data set has a determinacy race, our debugging tool, which we call the `Nondeterminator,' guarantees to detect and localize the race. The core of the Nondeterminator is an asymptotically efficient serial algorithm (inspired by Tarjan's nearly linear-time least-common-ancestors algorithm) for detecting determinacy races in series-parallel directed acyclic graphs. For a Cilk program that runs in T time on one processor and uses ν shared-memory locations, the Nondeterminator runs in O(Tα(ν,ν)) time, where α is Tarjan's functional inverse of Ackermann's function, a very slowly growing function which, for all practical purposes, is bounded above by 4. The Nondeterminator uses at most a constant factor more space than does the original program. On a variety of Cilk program benchmarks, the Nondeterminator exhibits a slowdown of less than 12 compared with the serial execution time of the original optimized code, which we contend is an acceptable slowdown for debugging purposes.
Source Title: Annual ACM Symposium on Parallel Algorithms and Architectures
URI: http://scholarbank.nus.edu.sg/handle/10635/99506
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

26
checked on Mar 9, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.