Boot Task Categorization for Heterogeneous Processor Scheduling
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Solution Overview
Problem
Traditional BIOS boot protocols in heterogeneous computing systems do not differentiate tasks based on processing components, leading to inefficient boot processes due to idle time and unequal distribution of tasks among cores and small device processors.
Innovation Solution
Categorize boot tasks into types such as compute-bound, cache-bound, memory-bound, and I/O-bound tasks using firmware agents, and utilize a scheduler to assign tasks to the most appropriate processor component based on performance metrics, generating a learning boot table for optimized task scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional BIOS boot protocols are used without task differentiation, then the boot process is simple to implement, but boot performance is poor due to idle time and unequal task distribution
Solution Approach 1:
The boot process is segmented into different task categories (compute-bound, cache-bound, memory-bound, I/O-bound) and assigned to different processor components based on task type. This segmentation allows each processor component to execute tasks it is best suited for, reducing idle time and improving overall boot performance.
Solution Approach 2:
The boot protocol dynamically schedules tasks based on processor component capabilities and task characteristics. The system adapts the execution plan in real-time during the boot process, selecting the most appropriate processor component for each task based on current system state and task requirements.
2Productivity
If tasks are not differentiated by type, then task scheduling is simple, but processing efficiency is reduced due to unequal task distribution
Solution Approach 1:
Different processor components are assigned different roles based on their local characteristics. Compute-bound tasks go to processors with high computational capability, cache-bound tasks to processors with large caches, memory-bound tasks to processors with fast memory, and I/O-bound tasks to processors with fast storage. This local optimization maximizes processing efficiency.
Solution Approach 2:
The system changes the scheduling parameters based on task characteristics. Instead of a uniform scheduling approach, the system adjusts task assignment decisions based on task type, processor capability, and current system state, optimizing the balance between scheduling complexity and processing efficiency.
3Loss of time
If all boot tasks are executed on the same processor component, then scheduling logic is simple, but boot time increases due to idle time
Solution Approach 1:
The system performs preliminary classification of boot tasks into different categories before execution. By pre-categorizing tasks based on their characteristics (compute-bound, cache-bound, memory-bound, I/O-bound), the system can prepare an optimized execution plan in advance, reducing idle time during actual execution.
Solution Approach 2:
The task scheduling system ensures continuous useful action by constantly monitoring task completion and assigning new tasks to available processor components. This eliminates idle time by maintaining a pipeline of tasks that are continuously being processed, with the scheduler actively managing task distribution throughout the boot process.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture to increase boot performance are disclosed. An example apparatus including instructions stored in the apparatus; and processor circuitry to execute the instructions to: during a boot process: identify a boot task that is to be performed during the boot process; execute the boot task using a first processor component; collect data corresponding to the execution of the boot task on the first processor component; categorize the boot task based on the collected data; and generate an entry for a boot table based on the categorization, the boot table used to schedule the boot task on at least one of the first processor component or a second processor component different than the first processor component based on the categorization.