Scalable discrete algorithms for big data applications

Demian Hespe,Lukas Hübner,Lorenz Hübschle-Schneider,Peter Sanders,Dominik Schreiber

High Performance Computing in Science and Engineering '21（2023）

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摘要

In the past year, the project “Scalable Discrete Algorithms for Big Data Applications” dealt with High-Performance SAT Solving, Malleable Job Scheduling and Load Balancing, and Fault-Tolerant Algorithms. We used the massively parallel nature of ForHLR II to obtain novel results in the areas of SAT solving and faulttolerant algorithms.

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关键词

big data applications,big data,algorithms,discrete

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