Continuation Thread Block Task Scheduling via Metadata Segmentation
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Solution Overview
Problem
Conventional mechanisms for task management in continuation thread blocks are inefficient in avoiding deadlock conditions, often leading to resource starvation and stalled tasks due to excessive child threads and thread blocks, which prevents child tasks from completing execution.
Innovation Solution
A system and method for scheduling tasks that involve generating task metadata data structures to manage state information and child tasks, allowing for the execution of continuation tasks only after child tasks have finished, thereby preventing resource starvation and ensuring logical completion of parent tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If too many child threads are launched to complete auxiliary work, then the task can perform more parallel work, but resources are starved and child tasks cannot finish executing
Solution Approach 1:
The patent segments the task execution into distinct phases by separating parent task state saving from child task execution. The parent task is divided into segments that can be independently scheduled, allowing the system to manage resource allocation more effectively while maintaining parallel work capacity.
Solution Approach 2:
The patent performs preliminary actions by saving parent task state and launching child tasks before the parent task logically completes. This allows child tasks to be scheduled and executed in advance, ensuring resources are available when needed while preventing resource starvation through proactive resource management.
2Productivity
If too many thread blocks are active and resident in the processor, then more work can be processed concurrently, but active tasks stall on completion of child tasks
Solution Approach 1:
The patent implements dynamic task scheduling where the state of tasks (active, stalled, completed) is continuously updated based on child task completion status. The system dynamically adjusts which tasks remain active in the processor, allowing tasks to be stalled temporarily without permanently blocking resource usage, thus reducing stalling time while maintaining high concurrent work processing.
3Productivity
If child tasks are executed concurrently with parent task, then overall execution time is reduced, but deadlock conditions occur when parent tasks lock all available resources
Solution Approach 1:
The patent extracts the parent task state from the active execution context and stores it separately in memory. This separation allows child tasks to be executed concurrently without the parent task holding onto processor resources, thereby enabling faster execution while preventing deadlocks through resource release.
Solution Approach 2:
The patent introduces task metadata data structures as intermediaries between parent tasks and child tasks. These metadata structures manage the state information and coordination, allowing concurrent execution while mediating resource access to prevent deadlock conditions.
Data Source
AI summary
A system, method, and computer program product for scheduling tasks associated with continuation thread blocks. The method includes the steps of generating a first task metadata data structure in a memory, generating a second task metadata data structure in the memory, executing a first task corresponding to the first task metadata data structure in a processor, generating state information representing a continuation task related to the first task and storing the state information in the second task metadata data structure, executing the continuation task in the processor after the one or more child tasks have finished execution, and indicating that the first task has logically finished execution once the continuation task has finished execution. The second task metadata data structure is related to the first task metadata data structure, and at least one instruction in the first task causes one or more child tasks to be executed by the processor.