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- W3174306093 abstract "Partitioning large matrices is an important problem in distributed linear algebra computing (used in ML among others). Briefly, our goal is to perform a sequence of matrix algebra operations in a distributed manner (whenever possible) on these large matrices. However, not all partitioning schemes work well with different matrix algebra operations and their implementations (algorithms). This is a type of data tiling problem. In this work we consider a theoretical model for a version of the matrix tiling problem in the setting of hypergraph labeling. We prove some hardness results and give a theoretical characterization of its complexity on random instances. Additionally we develop a greedy algorithm and experimentally show its efficacy." @default.
- W3174306093 created "2021-07-05" @default.
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- W3174306093 date "2021-06-29" @default.
- W3174306093 modified "2023-10-18" @default.
- W3174306093 title "Distributed Matrix Tiling Using A Hypergraph Labeling Formulation." @default.
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