news.volyx.in

Nvidia adds native Python support to CUDA (thenewstack.io)

460 points by apples2apples · 485 days ago · 192 comments on HN

Article summary

NVIDIA has announced native Python support for its CUDA software toolkit, allowing developers to use Python for direct execution of algorithmic-style computing on GPUs. This move is expected to open up the developer toolkit to millions of Python developers, especially in emerging markets. The new support includes a Pythonic reimagining of the CUDA runtime and a new programming model called CuTile. This change aims to make GPU programming more accessible to Python developers without requiring knowledge of C or C++.

Main themes

  • NVIDIA CUDA
  • Python Support
  • GPU Programming
  • CuTile Interface
  • Native Python Integration
  • GPU Acceleration

What commenters say

  • The announcement is about CUDA Core, a Pythonic reimagining of the CUDA runtime, and not just a new set of Cython bindings to the CUDA runtime and CUB.
  • The new CuTile interface is a key part of the native Python support and is being developed as a competitor to OpenAI's Triton.
  • Some commenters believe that the article is misleading and that the actual product has nothing to do with kernels or JITting, but rather is just a set of Cython bindings.
  • Others argue that the CuTile interface is a significant development that will allow for dynamic generation of CUDA kernels at runtime using Python API calls.
  • There is disagreement over the best way to time and benchmark GPU operations, with some arguing that using CUDA event APIs is the only correct way, while others believe that using standard Python timing calls is sufficient in certain cases.
  • Some commenters are skeptical of the announcement and believe that it is overhyped, while others see it as a significant step forward for GPU programming in Python.
  • The discussion highlights the complexity and nuance of GPU programming and the challenges of benchmarking and optimizing performance.
  • There is a need for clear and accurate information about the new features and their capabilities, rather than relying on hype or misinformation.