IO Request Pipeline Controller for SSD CPU Load Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current SSDs face high CPU control load, power consumption, and performance limitations due to software-managed IO request processing, which hinders concurrency and efficiency.
Innovation Solution
An IO request pipeline processing device comprising an IO state buffer and a pipeline controller that stores context information and manages IO requests through a module calling sequence, reducing CPU workload and power consumption by handling pipeline control via hardware modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software is used to control IO request processing in SSD, then flexibility and adaptability are improved, but CPU control load increases and power consumption increases
Solution Approach 1:
An IO state buffer is introduced as an intermediary data structure between the CPU and the IO processing pipeline. The buffer stores context information including module calling sequences, allowing the system to maintain software-configurable flexibility while enabling hardware-based automated processing that reduces CPU load and power consumption.
Solution Approach 2:
The patent replaces software-based CPU control with a hardware-based pipeline processing mechanism. The pipeline controller automatically executes IO requests by reading module calling sequences from the IO state buffer, substituting the mechanical CPU software control loop with a more efficient hardware-driven automated system.
2Reliability
If software controls IO request processing with multiple state polling, then processing completeness is improved, but CPU control load increases
Solution Approach 1:
The module calling sequence in the IO state buffer is prepared in advance, containing the complete processing path for each IO request. This preliminary action allows the hardware pipeline to automatically execute all necessary processing steps without requiring the CPU to repeatedly poll and decision-make during execution, ensuring processing completeness while reducing CPU control load.
Solution Approach 2:
The pipeline processing system is designed to be self-service, where the hardware pipeline automatically manages its own execution by reading from the pre-configured IO state buffer. The system serves itself by automatically tracking processing state and advancing through the module calling sequence without external CPU intervention for each state transition.
3Productivity
If hardware pipeline processing is implemented, then processing performance and concurrency are improved, but device complexity increases
Solution Approach 1:
The IO state buffer serves multiple functions: storing context information, holding module calling sequences, tracking processing state, and providing data to the pipeline controller. This multi-functionality reduces the need for separate dedicated hardware structures for each function, thereby improving processing performance while limiting the increase in overall device complexity.
Solution Approach 2:
The patent changes the operational parameters of the SSD controller by introducing a hardware pipeline that operates in parallel with the CPU. The pipeline controller uses different operational parameters (automatic state transitions based on module calling sequences) compared to traditional software polling, enabling higher concurrency and processing performance without proportionally increasing complexity.
Data Source
AI summary
Disclosed is an IO request pipeline processing device. The device mainly includes: an IO state buffer and a pipeline controller, wherein the IO state buffer includes multiple elements, for storing context information including a module calling sequence generated by a CPU; and the pipeline controller is configured to perform pipeline control on an IO request according to the context information. The device performs pipeline management on an IO processing state by arranging hardware modules, which shares the huge workload during an original CPU software control process, and also reduces the requirements for CPU design. At the same time, processing logic of the pipeline controller is triggered by the module calling sequence recorded in the IO state buffer, which may reduce the implementation power consumption and improve the implementation efficiency.