Interrupt Cache Coalescing Engine for Scalable Interrupt Handling
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Solution Overview
Problem
Conventional interrupt-based techniques are unable to scale to support millions of interrupts due to the requirement of dedicated hardware per interrupt type, limiting their effectiveness in handling large numbers of interrupts.
Innovation Solution
The implementation of an interrupt cache that uses a cache management component to coalesce interrupts, storing active sets and managing cache entries through a replacement algorithm, allowing for efficient communication of interrupt messages to a processing unit, thereby supporting a large number of interrupts without the need for dedicated hardware for each type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated hardware is used per interrupt type, then interrupt handling reliability is improved, but device complexity increases and scalability is limited
Solution Approach 1:
The patent implements a universal interrupt coalescing engine that can handle multiple interrupt types through a single hardware structure. Instead of dedicated hardware per interrupt type, the system uses a unified coalescing engine with a cache to store interrupt descriptors, allowing one hardware component to serve multiple interrupt sources and types, thereby reducing overall hardware complexity while maintaining reliable interrupt handling.
Solution Approach 2:
The patent creates a software-based interrupt descriptor cache that copies interrupt information into a manageable structure. This cache stores interrupt descriptors with fields for coalescing count, delay time, and interrupt vector, allowing the system to replicate and manage interrupt handling logic in software rather than requiring complex dedicated hardware for each interrupt type.
2Speed
If dedicated hardware is used per interrupt type, then interrupt processing speed is improved, but scalability to millions of interrupts is prevented
Solution Approach 1:
The patent introduces dynamic characteristics to interrupt handling through configurable delay times and coalescing counts. The system can adaptively adjust how interrupts are processed based on their type and frequency, allowing flexible scaling from hundreds to millions of interrupts. The cache management algorithm dynamically decides when to coalesce interrupts and when to process them individually, enabling scalability without sacrificing processing speed for active interrupt types.
Solution Approach 2:
The patent changes key parameters of interrupt handling including coalescing count thresholds and delay times. By adjusting these parameters, the system can optimize performance for different interrupt workloads and scale to support millions of interrupt types. The cache stores configurable parameters that allow dynamic adaptation to varying system requirements without hardware changes.
3Productivity
If interrupts are coalesced to improve efficiency, then processing unit cache locality is improved, but interrupt response time may increase
Solution Approach 1:
The patent implements periodic action through configurable delay times for interrupt coalescing. Instead of immediately processing every interrupt, the system waits for a specified delay period or coalescing count threshold before batching interrupts together. This periodic approach improves processing efficiency by reducing context switches and improving cache locality, while the configurable delay ensures that time-sensitive interrupts can still be processed promptly when needed.
Data Source
AI summary
An apparatus includes an interrupt cache having cache storage configured to store a plurality of interrupts received from an interrupt source, the plurality of interrupts corresponding to a plurality of interrupt events configured for execution by the plurality of interrupt service routines and a cache manager component configured to generate an interrupt message for transmission to the processing unit, the interrupt message generated to include at least one interrupt of the plurality of interrupts from the cache storage.


