Dynamic Zone Group Configuration for Memory Sub-Systems
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Solution Overview
Problem
Current memory sub-systems lack the flexibility to configure zones of varying sizes, limiting the ability of host systems to optimize data placement and performance, as they are restricted to pre-defined zone sizes that do not align with the needs of specific workloads or file types, leading to suboptimal throughput, latency, and system lifetime.
Innovation Solution
The implementation of dynamic zone group configuration allows host systems to define custom zone groups of different sizes, enabling zones to be treated as a single unit for efficient data management, with the memory sub-system controller identifying and configuring zones that match the specified size and satisfy parallelism criteria for optimal programming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-defined zone sizes are used in memory sub-systems, then device complexity is reduced and ease of manufacture is improved, but adaptability to different workloads and file types deteriorates
Solution Approach 1:
The patent implements dynamic zone group configuration where the host system can define custom zone group sizes based on workload requirements. The memory sub-system controller dynamically identifies and configures zones to match the specified sizes, allowing the system to adapt to different workload patterns and file types while maintaining manageable complexity through automated configuration processes.
Solution Approach 2:
The patent enables changing the zone group size parameter from fixed pre-defined values to customizable sizes determined by the host system. This parameter change allows optimization for specific workload characteristics and file types while the controller automatically manages the configuration to prevent excessive complexity.
2Productivity
If custom zone group sizes are implemented, then adaptability to specific workloads and file types is improved, but programming operations increase and system lifetime decreases
Solution Approach 1:
The patent optimizes zone group size parameters to balance throughput improvement with system lifetime. By allowing custom zone group sizes, the system can achieve better throughput for specific workloads while the controller manages programming operations efficiently to minimize wear and extend system lifetime.
Solution Approach 2:
The patent applies different zone group sizes locally according to specific workload requirements and file types. This localized optimization improves throughput for particular workloads while maintaining appropriate zone configurations elsewhere to preserve system lifetime, rather than applying a uniform configuration across all zones.
3Ease of operation
If zones are treated as single units in zone groups, then ease of operation is improved and data placement optimization is enabled, but device complexity increases
Solution Approach 1:
The patent merges multiple zones into zone groups that are treated as single units by the host system. This merging simplifies data management operations for the host while the controller internally manages the constituent zones, balancing ease of operation with controlled complexity through hierarchical organization.
Solution Approach 2:
The patent introduces zone groups as an intermediary layer between the host system and individual zones. This intermediary simplifies host operations by presenting zone groups as single units while the controller acts as a mediator to manage the underlying zone configurations, preventing excessive complexity from propagating to the host system.
4Adaptability or versatility
If dynamic zone configuration is implemented, then adaptability and performance optimization are improved, but loss of time for configuration increases
Solution Approach 1:
The patent performs preliminary zone identification and configuration actions when zone groups are created or modified. By preparing and pre-configuring zones in advance based on anticipated workload requirements, the system reduces configuration time when actual data operations begin, balancing adaptability with time efficiency.
Solution Approach 2:
The patent enables the memory sub-system controller to automatically identify and configure zones based on host-specified parameters without requiring extensive manual intervention. This self-service capability reduces configuration time while maintaining high adaptability, as the controller autonomously optimizes zone assignments based on workload characteristics.
Data Source
AI summary
A system includes one or more memory devices and a processing device coupled to the memory device(s) to perform operations including transmitting, to a host system, a size of each respective zone at the one or more memory devices. The operations include receiving, from the host system, an indication of a defined size of each respective zone group of the one or more memory devices. The operations include allocating one or more zones at the one or more memory devices to a zone group based on the defined size of the zone group received from the host system. The operations include programming one or more host data items and one or more parity data items to a zone group identified by a common zone group identifier for the one or more host data items and the one or more parity data items.