Nvidia corporation (20240111435). TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY simplified abstract
Contents
- 1 TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY
Organization Name
Inventor(s)
Gautam Bhatia of Mountain View CA (US)
Robert Bloemer of Sterling MA (US)
TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111435 titled 'TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY
Simplified Explanation
The patent application describes a memory device capable of performing write training operations using a comparison method between a first data pattern stored/generated internally and a second data pattern transmitted externally.
- Memory device performs write training operations by comparing internal/external data patterns.
- First data pattern stored/generated internally for comparison with second data pattern.
- Pass/fail status stored in register based on comparison result.
- Memory controller reads register to determine write training success.
Potential Applications
This technology can be applied in:
- Data storage devices
- Computer memory modules
- Networking equipment
Problems Solved
This technology addresses issues such as:
- Ensuring accurate data writing in memory devices
- Simplifying write training operations
- Improving data reliability in memory systems
Benefits
The benefits of this technology include:
- Enhanced data accuracy and reliability
- Streamlined write training process
- Improved performance of memory devices
Potential Commercial Applications
This technology can be commercially benefit:
- Memory chip manufacturers
- Data center operators
- Electronics manufacturers
Possible Prior Art
One possible prior art for write training operations in memory devices involves the traditional method of storing long data patterns and reading them back for verification.
Unanswered Questions
How does this technology impact the speed of data writing in memory devices?
The article does not provide specific details on the speed improvements achieved by this technology.
Are there any limitations to the size or complexity of data patterns that can be compared using this method?
The article does not mention any limitations regarding the size or complexity of data patterns that can be compared.
Original Abstract Submitted
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.
