Numba 0.48
  • Site
      • 1. User Manual
      • 2. Reference Manual
      • 3. Numba for CUDA GPUs
      • 4. CUDA Python Reference
      • 5. Numba for AMD ROC GPUs
      • 6. Extending Numba
      • 7. Developer Manual
      • 8. Numba Enhancement Proposals
      • 9. Glossary
      • 10. Release Notes
  • Page
      • 5. Numba for AMD ROC GPUs
  • « 4.3. Memory M...
  • 5.1. Overview »
  • Source

5. Numba for AMD ROC GPUsΒΆ

  • 5.1. Overview
    • 5.1.1. Terminology
    • 5.1.2. Requirements
    • 5.1.3. Installation
  • 5.2. Writing HSA Kernels
    • 5.2.1. Introduction
    • 5.2.2. Introduction for CUDA Programmers
    • 5.2.3. Kernel declaration
    • 5.2.4. Kernel invocation
      • 5.2.4.1. Choosing the workgroup size
      • 5.2.4.2. Multi-dimensional workgroup and grid
    • 5.2.5. WorkItem positioning
  • 5.3. Memory management
    • 5.3.1. Data transfer
      • 5.3.1.1. Device arrays
      • 5.3.1.2. Data Registration
    • 5.3.2. Streams
    • 5.3.3. Shared memory and thread synchronization
  • 5.4. Writing Device Functions
  • 5.5. Supported Atomic Operations
    • 5.5.1. Example
  • 5.6. The Agents
  • 5.7. ROC Ufuncs and Generalized Ufuncs
    • 5.7.1. Basic ROC UFunc Example
    • 5.7.2. Calling Device Functions from ROC UFuncs
    • 5.7.3. Generalized ROC ufuncs
    • 5.7.4. Async execution: A Chunk at a Time
  • 5.8. Examples
    • 5.8.1. Matrix multiplication

Back to top

© Copyright 2012, Anaconda, Inc..
Created using Sphinx 1.8.2.