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GTC ON-DEMAND

Presentation
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Abstract:
Learn about NVIDIA's developer tool, Nsight Compute, for optimizing your CUDA kernels. Nsight Compute is an interactive kernel profiler for CUDA applications that provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. We'll explain how Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results.
Learn about NVIDIA's developer tool, Nsight Compute, for optimizing your CUDA kernels. Nsight Compute is an interactive kernel profiler for CUDA applications that provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. We'll explain how Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results.  Back
 
Topics:
Tools & Libraries, Performance Optimization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9345
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Abstract:
Learn about NVIDIA's developer tools for optimizing your CUDA kernels. We will cover the latest updates to the Visual Profiler, nvprof, and Nsight and we will introduce NVIDIA's next generation of kernel profiling tools. See our new tools in action providing a consistent experience across all platforms, lower performance overhead, and ways to customize our tools to your needs.
Learn about NVIDIA's developer tools for optimizing your CUDA kernels. We will cover the latest updates to the Visual Profiler, nvprof, and Nsight and we will introduce NVIDIA's next generation of kernel profiling tools. See our new tools in action providing a consistent experience across all platforms, lower performance overhead, and ways to customize our tools to your needs.  Back
 
Topics:
Performance Optimization, Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8481
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Abstract:

Discover how the the analysis features of NVIDIA Nsight Visual Studio Edition can guide you in improving the performance of your CUDA application and your CUDA kernels. Using examples of various code patterns and kernel samples, we will discuss ways to spot common performance bottlenecks and implement code optimizations based on measured profiling data. Nsight''s new Source-Level Experiments will be used to further dive into analyzing CUDA-C kernel source code - allowing to evaluate performance characteristics from individual CUDA-C source code lines down to each executed assembly instruction.

Discover how the the analysis features of NVIDIA Nsight Visual Studio Edition can guide you in improving the performance of your CUDA application and your CUDA kernels. Using examples of various code patterns and kernel samples, we will discuss ways to spot common performance bottlenecks and implement code optimizations based on measured profiling data. Nsight''s new Source-Level Experiments will be used to further dive into analyzing CUDA-C kernel source code - allowing to evaluate performance characteristics from individual CUDA-C source code lines down to each executed assembly instruction.

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Topics:
Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2013
Session ID:
S3382
Streaming:
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