Invention Grant
- Patent Title: Sparsity-driven matrix representation to optimize operational and storage efficiency
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Application No.: US15252714Application Date: 2016-08-31
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Publication No.: US09652374B2Publication Date: 2017-05-16
- Inventor: Berthold Reinwald , Shirish Tatikonda , Yuanyuan Tian
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Main IPC: G06F12/02
- IPC: G06F12/02 ; G06F17/16
Abstract:
Embodiments of the invention relate to sparsity-driven matrix representation. In one embodiment, a sparsity of a matrix is determined and the sparsity is compared to a threshold. Computer memory is allocated to store the matrix in a first data structure format based on the sparsity being greater than the threshold. Computer memory is allocated to store the matrix in a second data structure format based on the sparsity not being greater than the threshold.
Public/Granted literature
- US20160364327A1 SPARSITY-DRIVEN MATRIX REPRESENTATION TO OPTIMIZE OPERATIONAL AND STORAGE EFFICIENCY Public/Granted day:2016-12-15
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