Memory Node Error Correction via Resiliency Groups
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Solution Overview
Problem
Current memory network systems lack scalability, resilience, and flexibility in handling large data applications, leading to potential single points of failure and inefficient error correction mechanisms.
Innovation Solution
A memory network architecture with scalable, high-performance memory nodes connected via high-speed interconnects, utilizing a decoupled memory interface and flexible resiliency groups for error detection and correction, allowing for distributed memory controllers and multi-dimensional stacked memory with Reed-Solomon coding for enhanced reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional hard drives are used for storing terabytes of data, then storage capacity is achieved, but response times become slow
Solution Approach 1:
The system segments storage into distributed memory nodes, each handling a portion of the total data. This allows parallel access to multiple memory modules, achieving both high storage capacity and fast response times through distributed memory architecture.
Solution Approach 2:
The patent transitions from traditional sequential storage to distributed memory access across multiple nodes, adding a spatial dimension to data storage. This enables simultaneous access to multiple data locations, dramatically improving response time while maintaining terabyte-scale capacity.
2Productivity
If memory nodes are connected via high-speed interconnects, then bandwidth and performance are improved, but system complexity increases
Solution Approach 1:
The interconnect architecture is segmented into standardized interfaces and protocols at each memory node, reducing overall system complexity. Each node handles its own data management independently, simplifying the interconnect design while maintaining high bandwidth.
Solution Approach 2:
The memory nodes use universal interfaces and standardized communication protocols that can be applied across all nodes. This multi-functionality approach simplifies the interconnect architecture by using common components and protocols throughout the system.
3Reliability
If error correction mechanisms are implemented, then reliability is improved, but processing time and energy consumption increase
Solution Approach 1:
The system performs error detection and correction codes (ECC) in advance during data storage, rather than during retrieval. This preliminary action ensures data integrity without adding processing time during memory access operations.
Solution Approach 2:
Memory nodes perform self-diagnosis and self-correction of errors using built-in ECC mechanisms. The nodes automatically detect and correct errors without requiring external intervention, minimizing the impact on processing time and system performance.
4Adaptability or versatility
If distributed memory controllers are used, then scalability and flexibility are improved, but control complexity increases
Solution Approach 1:
The memory control function is segmented and distributed across multiple independent controllers, one per memory node. This segmentation provides configuration flexibility and scalability while reducing the complexity of any single controller, as each manages only its local memory.
Solution Approach 2:
The distributed memory controller architecture enables dynamic configuration and reconfiguration of memory nodes without affecting the entire system. Each controller can independently manage its node, providing flexibility in system configuration while maintaining manageable complexity through localization of control functions.
Data Source
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AI summary
According to an example, a resiliency group for a memory node in a memory network can provide error correction for a memory access in the memory node. The memory access may be received from a main memory controller of a processor connected to the memory network. The memory access may be executed by a memory controller of the memory node.