By Xipeng Shen, Frank Mueller, James Tuck
This booklet constitutes the completely refereed post-conference complaints of the twenty eighth overseas Workshop on Languages and Compilers for Parallel Computing, LCPC 2015, held in Raleigh, NC, united states, in September 2015.
The 19 revised complete papers have been conscientiously reviewed and chosen from forty four submissions. The papers are prepared in topical sections on programming versions, optimizing framework, parallelizing compiler, communique and locality, parallel functions and information buildings, and correctness and reliability.
Read Online or Download Languages and Compilers for Parallel Computing: 28th International Workshop, LCPC 2015, Raleigh, NC, USA, September 9-11, 2015, Revised Selected Papers PDF
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Extra resources for Languages and Compilers for Parallel Computing: 28th International Workshop, LCPC 2015, Raleigh, NC, USA, September 9-11, 2015, Revised Selected Papers
IEEE Computer Society Press, Los Alamitos (2012) 24. : AR-SMT: a microarchitectural approach to fault tolerance in microprocessors. In: Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing, Digest of Papers, pp. 84–91, June 1999 25. : DRAM errors in the wild: A largescale ﬁeld study. In: Proceedings of the Eleventh International Joint Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2009, pp. 193–204. ACM, New York (2009) 26. : CoCheck: checkpointing and process migration for MPI.
4. would be the next base node. However, B2 may have been spliced out while the range operation was traversing the routing nodes (Fig. 2c) or split (Fig. 2b). If one of these cases happens, we will detect this since we will end up in an invalid base node in which case the attempt to ﬁnd the next base node will be retried. When we ﬁnd the next base node we will not end up in the same invalid base node twice if the following algorithm is applied (also depicted in Fig. 3b): 1.
Shen et al. ): LCPC 2015, LNCS 9519, pp. 37–53, 2016. 1007/978-3-319-29778-1 3 38 K. Sagonas and K. Winblad to predict. This is especially true when the data structure is provided as a general purpose library. Contention adapting trees (CA trees)  is a new family of concurrent data structures for ordered sets, that adapt their synchronization granularity according to the contention level and the access patterns even when these change dynamically. In this work, we extend CA trees with support for operations that atomically access multiple elements.