Dynamic I/O Priority Prediction Circuitry for Bandwidth Allocation
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Solution Overview
Problem
Modern I/O systems and communication protocols, such as USB4®, do not dynamically allocate priority to and allocate bandwidth for different types of I/O transactions or I/O devices within a compute platform, leading to underutilization of I/O resources and negatively impacting performance, power consumption, and user experience.
Innovation Solution
The implementation of dynamic I/O priority prediction (DIPP) circuitry that communicates with the operating system and accesses user configuration to dynamically allocate bandwidth and prioritize I/O transactions based on device class, usage patterns, and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static bandwidth allocation is used for I/O transactions, then system simplicity is maintained, but I/O resource utilization deteriorates and performance is negatively impacted
Solution Approach 1:
The patent implements dynamic bandwidth allocation by introducing a bandwidth allocation manager that continuously monitors I/O transaction characteristics, device priorities, and usage patterns, then adjusts bandwidth allocation in real-time. This transforms the static I/O management system into a dynamic one that adapts to changing conditions, resolving the contradiction between system simplicity and resource utilization efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms where the bandwidth allocation manager receives information about I/O transaction completion, device performance metrics, and usage patterns, then uses this feedback to continuously optimize bandwidth allocation decisions. This closed-loop control enables the system to maintain high resource utilization while managing complexity through automated decision-making.
2Productivity
If dynamic bandwidth allocation is implemented, then I/O performance is improved, but system complexity increases
Solution Approach 1:
The bandwidth allocation manager operates autonomously by automatically monitoring I/O transactions, determining device priorities, and allocating bandwidth without requiring manual configuration or intervention. The system self-adjusts to changing conditions by analyzing usage patterns and transaction characteristics, reducing the operational complexity burden on users while maintaining high performance.
Solution Approach 2:
The system performs preliminary actions by pre-establishing device priority levels and bandwidth allocation policies based on device class and usage patterns before actual I/O transactions occur. This proactive approach allows the system to quickly respond to transaction requests with pre-computed allocation decisions, reducing real-time computational complexity while maintaining high throughput.
3Ease of operation
If equal priority is assigned to all I/O devices, then fairness is maintained, but power consumption increases due to inefficient resource allocation
Solution Approach 1:
The patent applies local quality by assigning different priority levels and bandwidth allocations to different I/O devices based on their specific characteristics, usage patterns, and importance to system operation. Instead of uniform treatment, the system tailors resource allocation to each device's local needs, enabling fairness in terms of meeting each device's actual requirements while optimizing power consumption by allocating resources only where needed.
4Device complexity
If bandwidth is allocated without considering usage patterns, then allocation simplicity is maintained, but user experience deteriorates
Solution Approach 1:
The bandwidth allocation manager automatically monitors and analyzes I/O usage patterns, device performance metrics, and transaction characteristics without requiring user input or configuration. The system self-adjusts bandwidth allocation based on observed usage patterns, providing an optimized user experience while maintaining allocation logic simplicity from the user's perspective, as all adjustments occur automatically in the background.
Data Source
AI summary
Systems, apparatus, articles of manufacture, and methods are disclosed to dynamically manage input/output (I/O) transactions. An example apparatus includes circuitry to determine at least one of a first parameter assigned to an VO transaction by a user, a second parameter for the I/O transaction based on at least a class of an I/O device, or a third parameter for the I/O transaction based on a usage pattern for a compute device coupled to the I/O device. Additionally, the example apparatus includes parameter management circuitry to determine a dynamic parameter to assign to the I/O transaction based on at least one of the first parameter, the second parameter, or the third parameter and cause scheduler circuitry to at least one of adjust a default bandwidth to be allocated to the I/O transaction based on the dynamic parameter or adjust a latency associated with the I/O transaction based on the dynamic parameter.