Invention Grant
- Patent Title: Memory management for machine learning training on GPU
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Application No.: US15948706Application Date: 2018-04-09
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Publication No.: US11468312B2Publication Date: 2022-10-11
- Inventor: Joo Hwan Lee , Yang Seok Ki
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Agency: Lewis Roca Rothgerber Christie LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F3/06 ; G06T1/20 ; G06T1/60

Abstract:
A system and method for memory management. In one embodiment, the method includes generating a dependency structure comprising one or more task identifiers and one or more data object identifiers. The dependency structure includes a list of one or more dependencies for a first data object identifier of the one or more data object identifiers, a first dependency of the list identifying a first task for which a data object identified by the first data object identifier is an input. The method further includes counting the number of dependencies for the first data object identifier, decrementing the count by one when the first task completes execution, and, when the count reaches zero, deallocating the first data object.
Public/Granted literature
- US20190244096A1 MEMORY MANAGEMENT FOR MACHINE LEARNING TRAINING ON GPU Public/Granted day:2019-08-08
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