Invention Application
- Patent Title: PARTITIONING SPARSE MATRICES BASED ON SPARSE MATRIX REPRESENTATIONS FOR CROSSBAR-BASED ARCHITECTURES
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Application No.: US16191767Application Date: 2018-11-15
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Publication No.: US20200159810A1Publication Date: 2020-05-21
- Inventor: Chinmay Ghosh , Soumitra Chatterjee , Mashood Abdulla Kodavanji , Mohan Parthasarathy
- Applicant: Hewlett Packard Enterprise Development LP
- Main IPC: G06F17/16
- IPC: G06F17/16 ; G06F9/50 ; G06F9/30 ; G06F9/38

Abstract:
Example implementations relate to domain specific programming language (DSL) compiler for large scale sparse matrices. A method can comprise partitioning a sparse matrix into a plurality of submatrices based on a sparse matrix representation and inputting each one of the submatrices into a respective one of a plurality of matrix-vector multiplication units (MVMUs) of a crossbar-based architecture.
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