Many developers use Python, but AI/ML, Data Science, and Analytics are the most significant
Intel oneAPI Innovator Osman El-Ghotmi built the open-source PySYCL project to let Python applications use SYCL's heterogeneous computing characteristics
Python applications may use SYCL-based heterogeneous computing capabilities via PySYCL, an open-source Python interface for SYCL
Python's numerical library PySYCL simplifies and speeds up hardware accelerator Python programming
The numerical package PySYCL provides a Python interface for SYCL programming
Python program can be readily scaled and distributed using all platform components, CPUs, GPUs, and accelerators
PySYCL lets Python programmers write code for FPGAs, GPUs, and other SYCL-compliant hardware accelerators
PySYCL aims to offer a familiar Pythonic syntax allowing Python projects and applications to smoothly integrate and utilize GPUs
Developers who wish to learn about the project's modules, namespaces, classes, and files or contribute to the codebase should read the PySYCL developer guide