Preemptive Page Fault Handling in Graphics Processing Units
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Solution Overview
Problem
Current graphics processing systems face inefficiencies and latency due to page faults, which consume processing resources and hinder performance, especially in parallel graphics data processing.
Innovation Solution
Implementing a preemptive page fault handling mechanism in graphics processing units (GPUs) that anticipates and manages page faults proactively, utilizing a scheduler to allocate work efficiently across processing clusters and memory units, ensuring seamless execution of threads and minimizing resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional page fault handling is used in graphics processing systems, then the system can handle memory access errors, but processing latency increases and performance deteriorates
Solution Approach 1:
The system performs preliminary actions by proactively identifying and allocating memory pages before they are actually needed. The predictive memory management unit analyzes access patterns and pre-loads pages into the memory management buffer, so when a page fault would normally occur, the page is already available, eliminating the latency penalty of traditional reactive page fault handling.
2Reliability
If reactive page fault handling is implemented, then memory access errors are corrected, but processing throughput decreases
Solution Approach 1:
The system performs preliminary actions by proactively identifying and allocating memory pages before they are actually needed. The predictive memory management unit analyzes access patterns and pre-loads pages into the memory management buffer, so when a page fault would normally occur, the page is already available, eliminating the latency penalty of traditional reactive page fault handling.
Solution Approach 2:
The memory management system serves itself by using the predictive memory management unit to automatically monitor access patterns, predict future needs, and allocate pages without requiring intervention from the graphics processing units or operating system. This self-service approach maintains high throughput by handling memory management autonomously and efficiently.
3Loss of energy
If memory pages are allocated on demand, then memory resources are conserved, but access latency increases
Solution Approach 1:
The system performs preliminary actions by proactively identifying and allocating memory pages before they are actually needed. The predictive memory management unit analyzes access patterns and pre-loads pages into the memory management buffer, so when a page fault would normally occur, the page is already available, eliminating the latency penalty of traditional reactive page fault handling.
Solution Approach 2:
The system changes the parameter of memory allocation timing from reactive (on-demand) to proactive (predictive). By using the predictive memory management unit to analyze access patterns and allocate pages in advance based on predicted usage, the system transforms memory management from a resource-conserving but slow process to one that maintains both efficiency and speed.
Data Source
AI summary
Methods and apparatus relating to predictive page fault handling. In an example, an apparatus comprises a processor to receive a virtual address that triggered a page fault for a compute process, check a virtual memory space for a virtual memory allocation for the compute process that triggered the page fault and manage the page fault according to one of a first protocol in response to a determination that the virtual address that triggered the page fault is a last page in the virtual memory allocation for the compute process, or a second protocol in response to a determination that the virtual address that triggered the page fault is not a last page in the virtual memory allocation for the compute process. Other embodiments are also disclosed and claimed.