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5.1. Overview

Numba supports HSA APU programming by directly compiling a restricted subset of Python code into HSA kernels and device functions following the HSA execution model. Kernels written in Numba appear to have direct access to NumPy arrays.

5.1.1. Terminology

Several important terms in the topic of HSA programming are listed here:

  • kernels: a GPU function launched by the host and executed on the device
  • device function: a GPU function executed on the device which can only be called from the device (i.e. from a kernel or another device function)

5.1.2. Requirements

This is a preview of the HSA feature. We only support Kavari on 64-bit Ubuntu at this time. Please consult offical documentation at this documentation. about system requirement.

5.1.3. Installation

Follow this document for installation instructions to enable HSA support for the system. Be sure to use the .deb packages to simplify the process. Aftwards, the following libraries must be added to your LD_LIBRARY_PATH:

  • libhsakmt.so.1
  • libhsa-runtime64.so
  • libhsa-runtime-ext64.so

libhsa-runtime64.so and libhsa-runtime-ext64.so are in /opt/hsa/lib libhsakmt.so.1 has no default location and is available from https://github.com/HSAFoundation/HSA-Drivers-Linux-AMD

The current implementation uses the stable LLVM compiler from AMD. To install, use .deb file from https://github.com/HSAFoundation/HSAIL-HLC-Stable This will install the binaries to /opt/amd/bin, which is expected by Numba.