Invention Grant
- Patent Title: Techniques for performing write training on a dynamic random-access memory
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Application No.: US17550811Application Date: 2021-12-14
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Publication No.: US11809719B2Publication Date: 2023-11-07
- Inventor: Gautam Bhatia , Robert Bloemer
- Applicant: NVIDIA CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA CORPORATION
- Current Assignee: NVIDIA CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Artegis Law Group, LLP
- Main IPC: G06F3/06
- IPC: G06F3/06

Abstract:
Various embodiments include a memory device that is capable of performing write training operations. Prior approaches for write training involve storing a long data pattern into the memory followed by reading the long data pattern to determine whether the data was written to memory correctly. Instead, the disclosed memory device stores a first data pattern (e.g., in a FIFO memory within the memory device) or generates the first data pattern (e.g., using PRBS) that is compared with a second data pattern being transmitted to the memory device by an external memory controller. If data patterns match, then the memory device stores a pass status in a register, otherwise a fail status is stored in the register. The memory controller reads the register to determine whether the write training passed or failed.
Public/Granted literature
- US20220244863A1 TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY Public/Granted day:2022-08-04
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