Invention Grant
- Patent Title: Opportunistic data analytics using memory bandwidth in disaggregated computing systems
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Application No.: US16564147Application Date: 2019-09-09
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Publication No.: US11275619B2Publication Date: 2022-03-15
- Inventor: John A. Bivens , Min Li , Ruchi Mahindru , HariGovind V. Ramasamy , Yaoping Ruan , Valentina Salapura , Eugen Schenfeld
- 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: Griffiths & Seaton PLLC
- Main IPC: G06F3/06
- IPC: G06F3/06 ; G06F12/00 ; G06F13/00 ; G06F9/50 ; G06F11/30

Abstract:
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.
Public/Granted literature
- US20200004593A1 OPPORTUNISTIC DATA ANALYTICS USING MEMORY BANDWIDTH IN DISAGGREGATED COMPUTING SYSTEMS Public/Granted day:2020-01-02
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