Ensuring Compliance with NVIDIA’s CUDA C++ Guidelines for Robust & Safety-Critical Programming
Technical Deep Dive on Using the Only Automated Checker Tool for Continuous Architecture & Code Compliance
As GPU acceleration becomes foundational in automotive, medical, and industrial systems, the need for reliable, safety-compliant CUDA code has never been greater. NVIDIA’s newly updated CUDA C++ Guidelines for Robust and Safety-Critical Programming provide a structured path for developers working on high-reliability applications, but applying these rules effectively in projects can be challenging.
Join Dave Casa, Senior Solutions Engineer at Qt Group, for a deep dive into how development teams can easily verify compliance with NVIDIA’s CUDA C++ guidelines using our comprehensive automated checker tool, Axivion.
You’ll gain a clear understanding of the technical and regulatory implications of CUDA development and see a live demo of how automated rule checking helps ensure your software continues to meet the highest safety and quality standards.
What you’ll learn:
- How to ensure your CUDA C++ code aligns with NVIDIA’s safety and security guidelines.
- The impact of host and device code separation on static analysis and compliance.
- How to integrate automated guideline checks into your existing CI/DevOps workflow.
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