By Chen Ding, John Criswell, Peng Wu
This booklet constitutes the completely refereed post-conference complaints of the twenty ninth overseas Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, manhattan, united states, in September 2016.
The 20 revised complete papers awarded including four brief papers have been rigorously reviewed. The papers are equipped in topical sections on huge scale parallelism, resilience and endurance, compiler research and optimization, dynamic computation and languages, GPUs and personal reminiscence, and runt-time and function analysis.
Read or Download Languages and Compilers for Parallel Computing: 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers PDF
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Extra info for Languages and Compilers for Parallel Computing: 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers
15] employed a tree based data structure for understanding the call sites of the MPI operations. The tree based structure allowed them to compute the value of target expressions when they involve rank and size on demand. They used a bit vector for a process sensitive computation of the target expressions of the MPI operations. Similar to our approach, they bound the number of processes and determine the values of target expressions and the message payload size at the call sites of the MPI operations.
Two blocking or non-blocking MPI point-to-point operations are matchesbefore ordered if they are send/receive to the same process and two operations are unordered if they are send/receive to diﬀerent processes (non-overtaking rule). – The non-blocking point-to-point operations are ordered before their respective MPI Wait operations. – MPI-speciﬁc strong-ordering points such as Barrier and Wait are matchesbefore ordered with any MPI operations that follow in program order. Explicitly matching the equivalence classes of MPI operations following the matches-before ordering is cumbersome in practice.
Similar to our approach, they bound the number of processes and determine the values of target expressions and the message payload size at the call sites of the MPI operations. Their approach did not however match the send receive operations and simulate the message passing behaviors. Droste et al.  implemented static checks purely based on the AST of the program. While the tool implements many useful checks based on the ATS, it was able to match MPI operations only when the target expression is trivial (constants) and the other arguments are exactly the same.
Languages and Compilers for Parallel Computing: 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers by Chen Ding, John Criswell, Peng Wu