18477421. TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY simplified abstract (NVIDIA Corporation)
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 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 18477421 titled 'TECHNIQUES FOR PERFORMING WRITE TRAINING ON A DYNAMIC RANDOM-ACCESS MEMORY
Simplified Explanation
The abstract describes a memory device capable of performing write training operations by comparing a first data pattern stored or generated within the memory device with a second data pattern being transmitted to the memory device by an external memory controller.
- Memory device performs write training operations by comparing data patterns.
- First data pattern is stored or generated within the memory device.
- Second data pattern is transmitted to the memory device by an external memory controller.
- Memory device stores pass or fail status based on the comparison.
- Memory controller reads the status to determine the outcome of the write training.
Potential Applications
This technology can be applied in:
- Data storage devices
- Computer memory systems
- Networking equipment
Problems Solved
This technology solves the following problems:
- Ensuring data is written correctly to memory
- Improving write training efficiency
- Enhancing memory device reliability
Benefits
The benefits of this technology include:
- Increased data accuracy
- Faster write training operations
- Improved overall system performance
Potential Commercial Applications
The potential commercial applications of this technology include:
- Memory device manufacturing companies
- Data center infrastructure providers
- Electronics manufacturers
Possible Prior Art
One possible prior art for this technology could be the traditional method of write training involving storing a long data pattern into memory and then reading it back to verify the write operation.
Unanswered Questions
How does this technology impact data transfer speeds in memory devices?
This technology can potentially improve data transfer speeds by ensuring accurate and efficient write operations.
What are the implications of this technology on overall system reliability?
This technology can enhance system reliability by ensuring data is written correctly to memory, reducing the risk of errors and data corruption.
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.
