By Xipeng Shen, Frank Mueller, James Tuck
This e-book constitutes the completely refereed post-conference court cases of the twenty eighth foreign 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 rigorously reviewed and chosen from forty four submissions. The papers are prepared in topical sections on programming types, optimizing framework, parallelizing compiler, communique and locality, parallel purposes and knowledge constructions, and correctness and reliability.
Read 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 info for Languages and Compilers for Parallel Computing: 28th International Workshop, LCPC 2015, Raleigh, NC, USA, September 9-11, 2015, Revised Selected Papers
C. Kurt et al. likely to corrupt the main execution state is executed with redundancy and the results are compared eﬃciently with computed checksums. To show the eﬀectiveness of our approach, we have developed two stencil computations, one unstructured grid based computation, and a molecular dynamics mini-application (MiniMD, a representative of a full-scale molecular dynamics application). We ﬁrst compare the cost of checkpointing in our model, against system-level checkpointing in MPI (which is the only automated solution available today).
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.
The scan step scans all leaves containing keys in the range and the validate step checks a dirty bit that is set before a leaf node is replaced by a modifying operation. Range queries are retried if the validation step fails. Unfortunately, non-blocking k-ary search trees provide no eﬃcient way to perform atomic range updates or multi-element modiﬁcation operations. Additionally, k-ary search trees are not balanced, so pathological inputs can easily make them perform poorly. Robertson investigated the implementation of lock-free range queries in a skip list: range queries increment a version number and a ﬁxed size history of changes is kept in every node .