Invention Grant
- Patent Title: Techniques for scaling dictionary-based compression
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Application No.: US16866811Application Date: 2020-05-05
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Publication No.: US11263051B2Publication Date: 2022-03-01
- Inventor: Ram Rangan , Suryakant Patidar , Praveen Krishnamurthy , Wishwesh Anil Gandhi
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Leydig, Voit & Mayer, Ltd.
- Main IPC: G06F9/50
- IPC: G06F9/50 ; G06F9/30 ; G06F12/02 ; G06F9/38 ; H03M7/30 ; H03M7/42

Abstract:
Accesses between a processor and its external memory is reduced when the processor internally maintains a compressed version of values stored in the external memory. The processor can then refer to the compressed version rather than access the external memory. One compression technique involves maintaining a dictionary on the processor mapping portions of a memory to values. When all of the values of a portion of memory are uniform (e.g., the same), the value is stored in the dictionary for that portion of memory. Thereafter, when the processor needs to access that portion of memory, the value is retrieved from the dictionary rather than from external memory. Techniques are disclosed herein to extend, for example, the capabilities of such dictionary-based compression so that the amount of accesses between the processor and its external memory are further reduced.
Public/Granted literature
- US20210349761A1 TECHNIQUES FOR SCALING DICTIONARY-BASED COMPRESSION Public/Granted day:2021-11-11
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