By Marco Gavanelli, John Reppy
This publication constitutes the refereed lawsuits of the 18th foreign Symposium on useful points of Declarative Languages, PADL 2016, held in St. Petersburg, FL, united states, in January 2016.
The eleven revised papers provided have been rigorously reviewed and chosen from 17 preliminary submissions for inclusion within the e-book. PADL is a discussion board for researchers and practitioners to offer unique paintings emphasizing novel functions and implementation concepts for all different types of declarative recommendations, together with, useful, good judgment, constraints, etc.
Read Online or Download Practical Aspects of Declarative Languages: 18th International Symposium, PADL 2016, St. Petersburg, FL, USA, January 18-19, 2016. Proceedings PDF
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Extra resources for Practical Aspects of Declarative Languages: 18th International Symposium, PADL 2016, St. Petersburg, FL, USA, January 18-19, 2016. Proceedings
During this process, there are no memory transfers between the CPU and the GPU, with the exception of: (1) ﬂow control ﬂags, such as the “exit” ﬂag, used to communicate whether the computation is terminated, and (2) the transfer of the computed answer set from the GPU to the CPU. The overall structure of the CUD@ASP-computation procedure (depicted in Fig. 3) is the conventional structure of an ASP solver. The diﬀerences lay in the selection heuristic (ASP computation) and in the parallelization of all the support functions involved.
For each analyzed conﬂict, a new nogood is learned and added to Δ. This procedure takes also care of backtracking/backjumping, through the use of a speciﬁc grid of kernels (Backjumping). , the values of A and LEVEL) are updated accordingly. Notice that the prototype can learn from all the conﬂicts detected by the same run of NoGoodCheckAndPropagate. The number of conﬂicts to process can be speciﬁed through a command-line option. In case of multiple learned nogoods involving diﬀerent “target” decision levels, the lowest level is selected.
This process allows classical backjumping in the search tree generated by the execution of CUD@ASP-computation . This part of the solver is the one that is less suitable to SIMT parallelism, due to the fact that a (sequential) sequence of resolution steps must be encoded. This procedure ends with the identiﬁcation of a unique implication point (UIP ) that determines the lower decision level/literal among those causing the detected conﬂicts. As default behavior, the solver selects one of the (possibly multiple) conﬂicts generated by NoGoodCheckAndPropagate.