Explore the latest advancements in accelerated computing and security enhancements with this comprehensive overview of the CUDA 12.2 release. Discover how to reduce programming time, create more efficient code, and accelerate applications through new features such as support for NVIDIA Hopper GPU hardware architecture, confidential computing for protecting sensitive data and AI workloads, heterogeneous memory management (HMM), and improvements to MPS prioritization. Gain insights into OS support, developer tools, compatibility updates, and compiler enhancements. Learn about the implementation of confidential computing and its impact on protecting sensitive data in AI workloads. Access additional resources, including documentation and the CUDA Toolkit, to further enhance your understanding and application of these cutting-edge technologies in the field of accelerated computing.
CUDA Toolkit 12.2 - New Accelerated Computing and Security Enhancements
Overview
Syllabus
– Introduction
– CUDA 12.2 New Features read the related TechBlog: https://developer.nvidia.com/blog/nvidia-cuda-toolkit-12-2-unleashes-powerful-features-for-boosting-applications
– OS Support
– Developer Tools
– Confidential Computing
– Compatibility Updates
– Compiler Update
Taught by
NVIDIA Developer
