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- W2084324432 abstract "Parallel computers are becoming increasingly heterogeneous and correspondingly more difficult to program as a result. Irregular applications exacerbate this problem further, given that this class of applications is more diverse and uses different performance features of a computer system than more common application classes. Thus, new approaches are necessary to achieve performance and productivity simultaneously. Domain-specific languages are becoming increasingly popular for high-performance computing, both in the domains of regular (e.g., SPIRAL) and irregular (e.g., Green-Marl) applications. However, past languages for graph computations tend to be too limited to efficiently express the wide range of irregular algorithms needed in applications. Instead, this position paper advocates adapting a language from the database community, Datalog, to the domain of high-performance irregular applications. Although the plain Datalog language is also insufficient for the class of applications targeted, extensions can be added to increase its expressiveness. Starting with a standard language also enables taking advantage of the literature on Datalog implementations, including in the contexts of parallelism and incremental execution of algorithms. Thus, this approach promises to be a good way to implement irregular applications with both productivity and performance." @default.
- W2084324432 created "2016-06-24" @default.
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- W2084324432 date "2012-11-01" @default.
- W2084324432 modified "2023-09-26" @default.
- W2084324432 title "Position Paper: Logic Programming for Parallel Irregular Applications" @default.
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- W2084324432 doi "https://doi.org/10.1109/sc.companion.2012.44" @default.
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