18622902. ACCELERATED DRAM (DYNAMIC RANDOM ACCESS MEMORY) TRAINING simplified abstract (Intel Corporation)
Contents
ACCELERATED DRAM (DYNAMIC RANDOM ACCESS MEMORY) TRAINING
Organization Name
Inventor(s)
Saravanan Sethuraman of Portland OR (US)
Tonia M. Rose of Wendell NC (US)
Caroline Grimes of Raleigh NC (US)
ACCELERATED DRAM (DYNAMIC RANDOM ACCESS MEMORY) TRAINING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18622902 titled 'ACCELERATED DRAM (DYNAMIC RANDOM ACCESS MEMORY) TRAINING
Simplified Explanation: Training a physical interface between a memory device and a memory controller can be done autonomously with a sweep, eliminating the need for host commands to trigger each parameter sweep.
Key Features and Innovation:
- Autonomous sweep for training the interface.
- Two-dimensional sweep capability.
- Automatic sweeping of parameters without interrupting the training mode.
Potential Applications: This technology can be applied in various memory devices and controllers to optimize performance and efficiency.
Problems Solved: Eliminates the need for manual intervention in parameter sweeping, streamlining the training process and improving overall system performance.
Benefits:
- Enhanced efficiency in training memory interfaces.
- Simplified parameter sweeping process.
- Improved memory device performance.
Commercial Applications: Potential commercial applications include memory devices in consumer electronics, data centers, and other computing systems where memory optimization is crucial for performance.
Prior Art: Readers can start searching for prior art related to this technology in the field of memory device optimization and training interfaces.
Frequently Updated Research: Stay updated on the latest advancements in memory device training interfaces and optimization techniques to ensure the most efficient and effective implementation of this technology.
Questions about Memory Device Training Interfaces: 1. What are the key benefits of using an autonomous sweep for training memory interfaces? 2. How does the two-dimensional sweep capability improve the efficiency of parameter sweeping in memory devices?
Original Abstract Submitted
Training a physical interface between a memory device and a memory controller can be performed with an autonomous sweep. The sweep can occur without commands from the host to trigger each parameter sweep. With a two dimensional sweep, instead of interrupting a training mode for a first parameter to sweep a second parameter, circuitry in the memory can automatically sweep the second parameter in the training mode for the first parameter.
