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CUDA 13.2 samples update (#432) 
- Added Python samples for CUDA Python 1.0 release
- Renamed top-level `Samples` directory to `cpp` to accommodate Python samples.
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README.md

simpleCUBLASXT - Simple CUBLAS XT

Description

Example of using CUBLAS-XT library which performs GEMM operations over Multiple GPUs.

Key Concepts

CUBLAS-XT Library

Supported SM Architectures

SM 5.0 SM 5.2 SM 5.3 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, Windows

Supported CPU Architecture

x86_64, aarch64

CUDA APIs involved

CUDA Runtime API

cudaGetDeviceProperties, cudaGetDeviceCount, cudaFree

Dependencies needed to build/run

CUBLAS

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)