Garbage Collecting Wavefront for Dynamic Resource Deallocation
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Solution Overview
Problem
Parallel processing systems face resource limitations, leading to inefficiencies as resources are often underutilized due to peak demand allocation, where all resources needed by a kernel must be available before execution, and resources are allocated for the entire duration of kernel execution.
Innovation Solution
The implementation of a garbage collecting wavefront (GCWF) that identifies and deallocates resources no longer used by wavefronts within a workgroup, allowing for proactive resource management and reallocation, thereby enhancing processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are allocated for the entire duration of kernel execution based on peak demand, then resource availability is guaranteed, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation where resources are not statically bound to wavefronts for their entire execution duration. Instead, the garbage collecting wavefront continuously monitors and deallocates resources that are no longer needed by active wavefronts, allowing resource allocation to adapt dynamically to current execution needs rather than peak demand
Solution Approach 2:
The garbage collecting wavefront identifies and deallocates (discards) resources that are no longer used by active wavefronts, and these resources are then recovered and made available for allocation to subsequent wavefronts. This process enables continuous resource reuse throughout kernel execution rather than holding resources until the entire kernel completes
2Reliability
If all resources needed by a kernel must be available before execution, then execution reliability is ensured, but processing latency increases
Solution Approach 1:
The garbage collecting wavefront performs preliminary resource deallocation actions during kernel execution by identifying and releasing resources that will not be needed by subsequent wavefronts. This allows resources to be prepared and made available in advance for upcoming wavefronts without waiting for the entire kernel to complete, reducing idle time and latency
Solution Approach 2:
The system maintains continuous useful action by having the garbage collecting wavefront operate concurrently with compute wavefronts, continuously identifying and deallocating resources as they become free. This continuous resource management ensures that resources are always available when needed by subsequent wavefronts without interruption or idle waiting
3Reliability
If resources are allocated at the start of kernel execution, then resource availability is guaranteed, but the number of simultaneously executing wavefronts is limited
Solution Approach 1:
As the garbage collecting wavefront deallocates resources that are no longer used by active wavefronts, these recovered resources immediately become available for allocation to new or waiting wavefronts. This continuous cycle of discarding unused resources and recovering them for reuse increases the total number of wavefronts that can be simultaneously executing or ready to execute
4Ease of operation
If resources are held for the entire kernel duration, then resource allocation simplicity is maintained, but resource deallocation efficiency deteriorates
Solution Approach 1:
The garbage collecting wavefront automatically performs resource deallocation by monitoring resource usage and releasing resources that are no longer needed. This self-service mechanism eliminates the need for manual or complex deallocation logic while maintaining simple resource allocation at the start, as the system autonomously manages resource lifecycle throughout execution
Data Source
AI summary
A processing system executes a specialized wavefront, referred to as a “garbage collecting wavefront” or GCWF, to identify and deallocate resources such as, for example, scalar registers, vector registers, and local data share space, that are no longer being used by wavefronts of a workgroup executing at the processing system (i.e., dead resources). In some embodiments, the GCWF is programmed to have compiler information regarding the resource requirements of the other wavefronts of the workgroup and specifies the program counter after which there will be a permanent drop in resource requirements for the other wavefronts. In other embodiments, the standard compute wavefronts signal the GCWF when they have completed using resources. The GCWF sends a command to deallocate the dead resources so the dead resources can be made available for additional wavefronts.