Python에서 C++를 호출하여 CUDA를 사용하는 프로젝트입니다. CPU Python, CPU C++, CUDA C++, Numpy 4가지 방식의 성능을 비교합니다. ===== 벡터 더하기 ...

A replacement for NumPy to use the power of GPUs. A deep learning research platform that provides maximum flexibility and speed. If you use NumPy, then you have used Tensors (a.k.a. ndarray). PyTorch ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

Nvidia has released a new mathematical Python library specialized for Cuda-X. It offers direct, Python-like access to the mathematical core operations of Cuda-X without having to use additional C/C++ ...

NVIDIA CUDA Tile introduces 'tile-based parallel programming' and it's being described as a major update to the CUDA platform, which powers a lot of AI.