By Jesus Carretero, Javier Garcia-Blas, Ryan K.L. Ko, Peter Mueller, Koji Nakano
This publication constitutes the refereed court cases of the sixteenth foreign convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016.
The 30 complete papers and 22 brief papers provided have been rigorously reviewed and chosen from 117 submissions. They disguise many dimensions of parallel algorithms and architectures, encompassing basic theoretical techniques, functional experimental initiatives, and advertisement elements and structures attempting to push past the bounds of current applied sciences, together with experimental efforts, cutting edge structures, and investigations that establish weaknesses in latest parallel processing technology.
Read Online or Download Algorithms and Architectures for Parallel Processing: 16th International Conference, ICA3PP 2016, Granada, Spain, December 14-16, 2016, Proceedings PDF
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Additional resources for Algorithms and Architectures for Parallel Processing: 16th International Conference, ICA3PP 2016, Granada, Spain, December 14-16, 2016, Proceedings
In fmm, diﬀerent threads can process boxes in opposite order. This can lead to an interleaving shown in Fig. 7(b). Here, processor P0 reads interaction synch in A1 before modifying mp expansion in A0 . Another processor P1 modiﬁes interaction synch in B0 and then modiﬁes mp expansion in B1 . Although no reordering is possible between B0 and B1 in TSO, the reordering of A0 and A1 causes an SCV. Note that interaction synch is declared as volatile in code. However, its read in A1 can still bypass A0 and cause an SCV.
To end with, Fig. 3 schematically describes the 4 compounding steps of the utilized bi-objective HS solver: 1. Initialization: the harmonies (potential solutions) of the population are ﬁlled with notes (values) drawn uniformly at random from the alphabets of their compounding instruments (variables). 2. Application of the operators: a new population of harmonies is produced by sequentially applying, to each note of the prevailing population, the stochastic HMCR, PAR and RSR operators deﬁned in  based on probabilistic parameters P r(HMCR), P r(PAR) and P r(RSR).
Application of the operators: a new population of harmonies is produced by sequentially applying, to each note of the prevailing population, the stochastic HMCR, PAR and RSR operators deﬁned in  based on probabilistic parameters P r(HMCR), P r(PAR) and P r(RSR). For real-valued variables the PAR operator requires an additional bandwidth parameter BW ∈ R(0, ∞), such that the new value Xpnew for Xp given by the PAR operator is Xpnew = Xp + BW · Uniform(−1, 1). 3. g. NSGA-II). The application of this criterion yields a ϕ-sized set of harmonies that are kept for the next iteration due to their higher Pareto optimality and wider Pareto span (crowding distance).
Algorithms and Architectures for Parallel Processing: 16th International Conference, ICA3PP 2016, Granada, Spain, December 14-16, 2016, Proceedings by Jesus Carretero, Javier Garcia-Blas, Ryan K.L. Ko, Peter Mueller, Koji Nakano