Migrating from Range Profiler to GPU Trace in Nsight Graphics

Starting in Nsight Graphics 2023.1, the GPU Trace Profiler is the best way to profile your graphics application at the frame level. The Frame Profiler activity…

NVIDIA logo
NVIDIA
•
Avinash Baliga
•7 min read•advanced•
--
•View Original
Warp

Overview

The article discusses the transition from the Range Profiler to the GPU Trace Profiler in Nsight Graphics 2023.1, emphasizing the enhanced capabilities of GPU Trace for profiling graphics applications at the frame level. It provides guidance on adapting workflows and accessing key profiling information previously available in the Range Profiler.

What You'll Learn

1

How to access the GPU Trace Profiler in Nsight Graphics 2023.1

2

How to generate a GPU Trace capture for live analysis

3

Why GPU Trace provides better time-series data compared to Range Profiler

4

When to use Advanced Mode in GPU Trace for detailed metrics

Key Questions Answered

What is the main difference between Range Profiler and GPU Trace?
The main difference is that the Range Profiler shows total values for the entire measured region, while GPU Trace displays time-series data for key metrics, allowing for a more detailed analysis of performance over time.
How do I collect profiling data using GPU Trace?
To collect profiling data with GPU Trace, press F11 in the application or choose 'Generate GPU Trace Capture'. After the data transfer reaches 100%, select 'Open' to view the profiling data.
What metrics can I find in GPU Trace that were in Range Profiler?
Most important metrics from the Range Profiler are visible in GPU Trace, including warp stall reasons and various performance markers, which are now presented in a time-series format for better analysis.
What profiling tools are still available in Nsight Graphics 2023.1?
The Shader Profiler remains available through the Frame Debugger activity, providing essential HLSL and GLSL source-level performance stats, which can complement the data from GPU Trace.

Technologies & Tools

Profiling Tool
Nsight Graphics
Used for profiling graphics applications and analyzing performance metrics.

Key Actionable Insights

1
Transitioning to GPU Trace from Range Profiler can enhance your profiling capabilities by providing real-time performance metrics over time.
This is particularly useful for identifying performance bottlenecks in graphics applications, allowing developers to optimize their code more effectively.
2
Utilizing Advanced Mode in GPU Trace can reveal additional metrics that are crucial for in-depth performance analysis.
This mode is beneficial when diagnosing complex performance issues that require a detailed understanding of GPU behavior.
3
Familiarize yourself with the new workflow in GPU Trace to ensure a smooth transition from Range Profiler.
Understanding the new interface and data presentation will help you quickly adapt and leverage the full potential of the GPU Trace Profiler.

Common Pitfalls

1
Failing to switch to GPU Trace may result in missing out on critical time-series data that can help identify performance issues.
Developers accustomed to the Range Profiler might overlook the enhanced capabilities of GPU Trace, leading to less effective profiling.

Related Concepts

GPU Performance Profiling
Graphics Application Optimization
Shader Performance Analysis