Episode 5 of the NVIDIA CUDA Tutorials Video series is out. Jackson Marusarz, product manager for Compute Developer Tools at NVIDIA, introduces a suite of tools to help you build, debug, and optimize CUDA applications, making development easy and more efficient.
This includes:
IDEs and debuggers: integration with popular IDEs like NVIDIA Nsight Visual Studio Edition, NVIDIA Nsight Visual Studio Code Edition, and NVIDIA Nsight Eclipse simplifies code development and debugging for CUDA applications. These tools adapt familiar CPU-based programming workflows for GPU development, offering features like intellisense and code completion.
System-wide insights: NVIDIA Nsight Systems provides system-wide performance insights, visualization of CPU processes, GPU streams, and resource bottlenecks. It also traces APIs and libraries, helping developers locate optimization opportunities.
CUDA kernel profiling: NVIDIA Nsight Compute enables detailed analysis of CUDA kernel performance. It collects hardware and software counters and uses a built-in expert system for issue detection and performance analysis.
Episode 5 of the NVIDIA CUDA Tutorials Video series is out. Jackson Marusarz, product manager for Compute Developer Tools at NVIDIA, introduces a suite of tools to help you build, debug, and optimize CUDA applications, making development easy and more efficient.
Learn about key features for each tool, and discover the best fit for your needs.
Resources
- Learn more about NVIDIA Developer Tools.
- Download the CUDA toolkit.
- Dive deeper or ask questions in CUDA Developer Tools forums.
