GPU Kernel Profiling via Entry Point Instrumentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for profiling graphics processing unit (GPU) kernels face challenges when dealing with multiple entry points, as inserting profiling instructions can lead to unintended execution locations, potentially causing errors.
Innovation Solution
A profiler apparatus that modifies GPU kernels by inserting profiling instructions at specific entry points, using either modified entry point addresses or filling address spaces with no-execution instructions, ensuring accurate profiling without disrupting kernel operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If profiling instructions are inserted into GPU kernels with multiple entry points, then code execution measurement capability is improved, but execution reliability deteriorates due to unintended execution locations
Solution Approach 1:
The patent segments the profiling system into distinct components: entry point detection module, instruction insertion module, and execution control module. By dividing the profiling instructions into separate segments that can be independently managed and inserted at specific locations, the system achieves precise measurement without compromising execution reliability across multiple entry points
Solution Approach 2:
The patent introduces an intermediary profiling instruction layer between the original kernel code and the execution engine. This intermediary layer acts as a mediator that captures execution information without altering the original execution flow, allowing measurement of code execution while maintaining the integrity and reliability of the original kernel with multiple entry points
2Measurement precision
If profiling instructions are inserted at multiple entry points, then profiling accuracy is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal profiling instruction template that can be applied across multiple entry points with different parameters. This multi-functional approach allows the same profiling mechanism to serve all entry points, improving profiling accuracy while avoiding the need to create and manage separate complex profiling systems for each entry point
Solution Approach 2:
The patent employs parameter changes to adapt the universal profiling instructions for different entry points. By modifying parameters such as entry point identifiers and target addresses rather than changing the fundamental profiling structure, the system achieves accurate profiling at multiple locations while minimizing the increase in device complexity
Data Source
AI summary
Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes instructions, and at least one processor to execute the instructions to determine whether a GPU supports modification of entry point addresses, detect a first entry point address and a second entry point address of an original GPU kernel, create a corresponding instrumented GPU kernel from the original GPU kernel based on the determination by inserting at least one of first profiling initialization instructions or first jump instructions at the first entry point address of the instrumented GPU kernel, inserting at least one of second profiling initialization instructions or second jump instructions at the second entry point address of the instrumented GPU kernel, and inserting profiling measurement instructions into the instrumented GPU kernel.