ECC Decoder Assignment and Clock Scaling for In-Order Transfer
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Solution Overview
Problem
Current memory devices face performance issues and power consumption challenges due to fixed clock rates and suboptimal error correction decoder levels, leading to inconsistent decoding times and latency, especially when handling different workloads and system environments.
Innovation Solution
Implementing a system that dynamically adjusts decoding speeds and assigns error correction decoders based on syndrome weights, allowing for flexible clock frequency adjustments and optimal decoder level allocation according to system parameters, ensuring simultaneous decoding completion across multiple units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If clock rate is increased to improve decoding speed, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent implements dynamic clock rate adjustment for decoding units based on real-time workload conditions. The controller monitors the number of pending decode operations and adjusts the clock rate of decoding units dynamically - increasing clock rate when workload is high to maintain productivity, and reducing clock rate when workload is low to conserve energy. This dynamic adaptation resolves the contradiction between maintaining high decoding speed and reducing power consumption.
Solution Approach 2:
The patent changes the operational parameters (clock rate) of decoding units based on system conditions. By adjusting the clock rate parameter according to the number of pending decode operations and system workload, the patent optimizes the balance between decoding performance and energy consumption, allowing the system to adapt to varying operational demands.
2Device complexity
If fixed clock rate table is used to simplify control, then device complexity is reduced, but adaptability worsens
Solution Approach 1:
The patent transitions from a static clock rate table to a dynamic clock rate adjustment mechanism. The controller continuously monitors system conditions (number of pending decode operations, workload) and adjusts clock rates in real-time. This dynamic approach maintains simplicity in control logic while significantly improving adaptability to different system environments and workload conditions.
Solution Approach 2:
The patent implements a feedback mechanism where the controller monitors the number of pending decode operations and system workload, then uses this information to adjust the clock rate of decoding units. This closed-loop control provides adaptability to varying system conditions while maintaining relatively simple control structure, as the feedback is used to directly adjust operational parameters rather than complex control algorithms.
3Device complexity
If first available decoding engine is assigned to maintain simplicity, then device complexity is reduced, but productivity worsens due to inconsistent finish times
Solution Approach 1:
The patent estimates the decoding time for each data unit before assignment based on its characteristics (e.g., error correction requirements, data pattern). This preliminary estimation allows the controller to assign decoding tasks to engines in a way that balances the completion times across multiple engines, ensuring that data units finish decoding simultaneously without requiring complex real-time scheduling during execution.
Solution Approach 2:
The patent applies different assignment strategies to different data units based on their specific characteristics. Rather than using a uniform first-available-engine assignment, the controller evaluates each data unit's decoding requirements and assigns them to appropriate engines with consideration for load balancing and completion time synchronization. This localized optimization improves overall productivity while maintaining relatively simple assignment logic.
4Device complexity
If decoding is performed in order received to maintain simplicity, then device complexity is reduced, but loss of time increases due to latency
Solution Approach 1:
The patent performs preliminary estimation of decoding times for incoming data units and uses this information to optimize the decoding sequence. By estimating which data units will take longer to decode, the controller can initiate decoding of these units earlier or assign them to engines that will complete them simultaneously with other units, thereby reducing overall latency while maintaining relatively simple sequence control.
Data Source
AI summary
A data storage device with partial speed changes to improve in-order data transfer. Rather than determining an ECC decoder on a first available decoder basis, the ECC decoder may be based on the ECC decoder level. A memory device will have at least one FMU that has a syndrome weight (SW). The disclosure proposes assigning FMU's based on the SW rate. At the time the command is read, the data storage device determines which level of decoder will be assigned to the FMU. The determination will then be checked according to different system environment parameters to maintain performance or reduce power consumption. The arrangement allows a more flexible system design that can adapt according to the current system status.