Download Practical Aspects of Declarative Languages: 18th by Marco Gavanelli, John Reppy PDF

By Marco Gavanelli, John Reppy

This booklet 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 offered have been rigorously reviewed and chosen from 17 preliminary submissions for inclusion within the ebook. PADL is a discussion board for researchers and practitioners to offer unique paintings emphasizing novel purposes and implementation suggestions for all types of declarative suggestions, together with, practical, good judgment, constraints, etc.

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Thus, each grid of kernels involves a number of blocks that is equal to the number of assigned atoms. The threads in each block process the nogoods that share the same assigned atom. The number of threads of each block is established by 40 A. Dovier et al. considering the number of occurrences of each assigned atom in the input nogoods. Observe that the dimension of the grid may change between two consecutive iterations of NoGoodCheckAndPropagate, and as such it is evaluated each time. Specific data structures (initialized once during the pre-processing phase) are used in order to determine, after each iteration of NoGoodCheckAndPropagate and for each assigned atom, which are the input nogoods to be considered in the next iteration.

We made a study of desired functionalities for an IC system and how we can define logical reasoning tasks to supply these functionalities. In this project a more expressive language was used than in other work that we are aware of. Subbarayan et al. [19] for example use propositional logic, that is extended to CP by Andersen et al. [2]. The expressivity of the language is crucial for the usability of the approach. It allows us to address a broader range of applications, moreover it is easier to formalize and maintain the The KB Paradigm and its Application to Interactive Configuration 27 domain knowledge.

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.

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