SPARQL, multiset Datalog, and multiset relational algebra are expressively equivalent for AND, UNION, FILTER, EXCEPT, and SELECT.
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DFLOP is a data-driven framework that profiles data-induced computation variance and uses predictive scheduling to balance workloads in multimodal LLM training pipelines, claiming up to 3.6x faster training than existing frameworks.
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Multiset semantics in SPARQL, Relational Algebra and Datalog
SPARQL, multiset Datalog, and multiset relational algebra are expressively equivalent for AND, UNION, FILTER, EXCEPT, and SELECT.
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DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization
DFLOP is a data-driven framework that profiles data-induced computation variance and uses predictive scheduling to balance workloads in multimodal LLM training pipelines, claiming up to 3.6x faster training than existing frameworks.