dpctl | Data Parallel Control

dpctl is a C++ library. dpctl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

. Data Parallel Control (dpctl) is a Python library that allows a user to control the execution placement of a [compute kernel] on an [XPU] The compute kernel can be either a code written by the user, e.g., using numba-dppy, or a code that is part of a library like oneMKL. The dpctl library is built upon the [SYCL standard] and implements Python bindings for a subset of the standard [runtime classes] that allow users to query platforms, discover and represent devices and sub-devices, and construct contexts and queues. In addition, dpctl features classes for [SYCL Unified Shared Memory (USM)] management and implements a tensor [array API] The library also assists authors of Python native extensions written in C, Cython, or pybind11 to access dpctl objects representing SYCL devices, queues, memory, and tensors. Dpctl is the core part of a larger family of [data-parallel Python libraries and tools] to program XPUs. The library is available via [conda] and [pip] It is included in the [Intel Distribution for Python*] (IDP).