From 493cd066410aa86307562392bd31fd92d19cb70f Mon Sep 17 00:00:00 2001 From: randyh62 <42045079+randyh62@users.noreply.github.com> Date: Tue, 5 Nov 2024 10:31:00 -0800 Subject: [PATCH] Update docs/how-to/programming_guide.rst --- docs/how-to/programming_guide.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/how-to/programming_guide.rst b/docs/how-to/programming_guide.rst index 3b44d0772..046448fba 100644 --- a/docs/how-to/programming_guide.rst +++ b/docs/how-to/programming_guide.rst @@ -12,7 +12,7 @@ ROCm provides a robust environment for heterogeneous programs running on CPUs and AMD GPUs. ROCm supports a variety of programming languages and frameworks to help developers access the power of AMD GPUs. The natively supported programming languages are HIP (Heterogeneous-Compute Interface for Portability) and -OpenCL, but HIP bindings for Python and Fortran are also available. +OpenCL, but HIP bindings are available for Python and Fortran. HIP is an API based on C++ that provides a runtime and kernel language for GPU programming, and is the key programming language in ROCm. HIP is also designed @@ -26,11 +26,11 @@ who want to use standard frameworks across different hardware platforms, including CPUs, GPUs, and other accelerators. For more information, see `OpenCL `_. -The Python bindings that can be found at https://github.com/ROCm/hip-python. +Python bindings can be found at https://github.com/ROCm/hip-python. Python is popular in AI and machine learning applications due to available frameworks like TensorFlow and PyTorch. -The Fortran bindings can be found at https://github.com/ROCm/hipfort. +Fortran bindings can be found at https://github.com/ROCm/hipfort. It enables scientific, academic, and legacy applications, particularly those in high-performance computing, to run on AMD GPUs via HIP.