cuDLAStandaloneMode - cuDLA Standalone Mode

Description

This sample demonstrates cuDLA standalone mode wherein DLA can be programmed without using CUDA.

Key Concepts

cuDLA, Data Parallel Algorithms, Image Processing

Supported SM Architectures

SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6 SM 8.7 SM 8.9 SM 9.0

Supported OSes

Linux, QNX

Supported CPU Architecture

aarch64

CUDA APIs involved

Dependencies needed to build/run

NVSCI

Prerequisites

Download and install the CUDA Toolkit for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.

References (for more details)