Multi-constraint Dynamic Resource Manager for Flash Controllers
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Solution Overview
Problem
Conventional SOC architectures face inefficiencies in resource allocation and deallocation, leading to latency and deadlock conditions due to inadequate utilization of on-chip resources, particularly in handling read and write operations, which compromises parallelism and user experience.
Innovation Solution
A flash controller with a multi-constraints dynamic resource manager module that monitors and allocates minimal resources efficiently across software and hardware clients, preventing resource starvation and optimizing buffer usage to enhance performance and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional resource allocation methods are used in SOC architectures, then resource allocation occurs on an as-needed basis, but this creates latencies in overall response time and results in inefficient architecture due to multiple individual controllers each needing dedicated resources
Solution Approach 1:
The patent merges multiple individual controllers into a single unified resource manager that handles resource allocation for multiple firmware threads and hardware components. This consolidation eliminates the need for each controller to have dedicated resources, reducing architectural complexity and improving resource allocation efficiency while minimizing latency through centralized management.
Solution Approach 2:
The resource manager is designed as a universal component that can allocate and deallocate resources dynamically to multiple different firmware threads and hardware components based on their needs. This multi-functional approach allows a single controller to serve multiple purposes, improving overall system efficiency and reducing the number of dedicated resources needed.
2Productivity
If read commands are increased to match the number of dies, then parallelism execution is compromised and time lag occurs, but reducing read commands leaves dies idle and underutilized
Solution Approach 1:
The patent implements dynamic command distribution that adapts to the current state of each die. The resource manager monitors die availability and dynamically adjusts the allocation of read commands in real-time, ensuring that commands are distributed to idle dies rather than overloaded dies. This dynamic approach maximizes die utilization while maintaining parallelism and minimizing execution lag.
Solution Approach 2:
The system incorporates feedback mechanisms where the resource manager continuously monitors the status of each die (busy or idle) and uses this information to make informed decisions about command allocation. This feedback loop ensures that read commands are optimally distributed across available dies, preventing both overload and idle time, thereby maximizing productivity without introducing time lag.
3Reliability
If multiple individual controllers are used in SOC architecture, then each controller can be dedicated to specific resources, but this results in inefficient architecture with large number of controllers needing dedicated resources
Solution Approach 1:
The patent consolidates multiple individual controllers into a single resource manager that handles resource allocation for multiple firmware threads and hardware components. This merger reduces the number of controllers from many individual units to one centralized unit, significantly reducing device complexity while maintaining reliable resource control through unified management.
Solution Approach 2:
The single resource manager is designed to be universal, capable of managing resources for multiple different firmware threads and hardware components simultaneously. This multi-functional design replaces the need for multiple dedicated controllers, reducing architectural complexity while maintaining the reliability of dedicated resource control through its ability to dynamically allocate resources as needed.
Data Source
AI summary
An arrangement is illustrated wherein a flash controller with a multi-constraints dynamic resource manager module configured to control both software and hardware clients is provided. The arrangement also provides for memory and an interface for connecting the controller to a host.