Memory System Queue Refill Time Resource Adjustment
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Solution Overview
Problem
Memory systems face inefficiencies due to inaccurate resource allocation during queue refill times, leading to unused resources and reduced performance, as they struggle to align resource usage with memory system capabilities in terms of queue refill time, depth, and command queue resources.
Innovation Solution
The memory system measures queue refill time by performing benchmark tests and adjusts resources such as processing power, clock speeds, and queue depth in response to measured refill times, allowing for reallocation of resources during queue refill periods to improve efficiency and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the memory system allocates resources for command queue operations, then processing capability is improved, but resources remain unused during queue refill time reducing efficiency
Solution Approach 1:
The patent implements dynamic resource allocation by adjusting clock speeds and activating/deactivating processing components based on queue refill time measurements. The memory system transitions from static resource allocation to dynamic adjustment, where resources are scaled up during active command processing and scaled down during queue refill periods, resolving the contradiction between maintaining processing capability and reducing unused resource consumption.
Solution Approach 2:
The system changes operational parameters (clock speed, resource allocation levels) based on measured queue refill time characteristics. By measuring the actual time required for queue refilling and adjusting resource allocation parameters accordingly, the system optimizes the balance between processing efficiency and energy consumption, allowing resources to be reallocated during periods when the queue is being refilled rather than remaining at full allocation.
2Speed
If the memory system increases resource allocation for command processing, then processing speed is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic measurement of queue refill time and periodic adjustment of resource allocation based on these measurements. The system operates in cycles where resources are allocated at higher levels during active processing periods and reduced during queue refill periods, creating a periodic pattern of resource usage that matches the actual workload demands, thereby reducing overall power consumption while maintaining processing speed when needed.
Solution Approach 2:
The system employs feedback mechanisms by measuring queue refill time and using this measurement to adjust resource allocation. The measured refill time provides feedback about actual system workload characteristics, which then feeds back into resource allocation decisions. This closed-loop control allows the system to optimize the trade-off between processing speed and power consumption by allocating resources based on actual measured performance characteristics rather than fixed allocation.
Data Source
AI summary
Methods, systems, and devices supporting techniques for memory system configuration using a queue refill time are described. A memory system may receive a command from a host system and may add the command to a command queue including a set of commands to be executed by the memory system. The memory system may determine a queue refill time of the command queue using measurements for at least one queue tag of the command queue and may adjust at least one resource of the command queue in response to the determined queue refill time. In some examples, the memory system may reallocate processing or memory resources previously allocated to the command queue, deactivate processing or memory resources previously allocated to the command queue, adjust a threshold queue depth for the command queue, or any combination thereof, among other options, based on the queue refill time.