发明授权
- 专利标题: Opportunistic data analytics using memory bandwidth in disaggregated computing systems
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申请号: US16564147申请日: 2019-09-09
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公开(公告)号: US11275619B2公开(公告)日: 2022-03-15
- 发明人: John A. Bivens , Min Li , Ruchi Mahindru , HariGovind V. Ramasamy , Yaoping Ruan , Valentina Salapura , Eugen Schenfeld
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 代理机构: Griffiths & Seaton PLLC
- 主分类号: G06F3/06
- IPC分类号: G06F3/06 ; G06F12/00 ; G06F13/00 ; G06F9/50 ; G06F11/30
摘要:
Respective memory devices are assigned to respective processor devices in a disaggregated computing system, the disaggregated computing system having at least a pool of the memory devices and a pool of the processor devices. An iterative learning algorithm is used to define data boundaries of a dataset for performing an analytic function on the dataset simultaneous to a primary compute task, unrelated to the analytic function, being performed on the dataset in the pool of memory devices using memory bandwidth not currently committed to the primary compute task, thereby efficiently employing the unused memory bandwidth to prevent underutilization of the pool of memory devices.
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