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For the complete Mojo documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /docs/manual/basics.md).

host

Implements the gpu host package.

Packages​

Modules​

  • ​compile: Implements CUDA compilation operations.
  • ​constant_memory_mapping: This module provides functionality for mapping constant memory between host and device.
  • ​device_attribute: This module defines GPU device attributes that can be queried from CUDA-compatible devices.
  • ​device_context: This module provides functionality for interacting with accelerators. In particular the DeviceContext struct, which represents a single stream of execution on a given accelerator. You can use this struct to allocate accelerator memory, copy data to and from the accelerator, and compile and execute functions on the accelerator.
  • ​device_graph: This module provides functionality for building and replaying device graphs. A device graph captures a sequence of GPU operations (such as kernel launches, memory copies, and memsets) as a reusable graph that can be replayed at a lower overhead than re-enqueueing each operation individually. The main entry point is DeviceGraph.create(), which hands a DeviceGraphBuilder to a scoped callback.
  • ​dim: This module implements the dim type.
  • ​func_attribute: GPU Kernel Function Attributes Module.
  • ​info: Contains information about GPU architectures and their capabilities.
  • ​launch_attribute: GPU Launch Attributes for Kernel Execution Control.
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