librmm

Achieving optimal performance in GPU-centric workflows frequently requires customizing how host and device memory are allocated. For example, using "pinned" host memory for asynchronous host <-> device memory transfers, or using a device memory pool sub-allocator to reduce the cost of dynamic device memory allocation.

The goal of the RAPIDS Memory Manager (RMM) is to provide:

  • A common interface that allows customizing device and host memory allocation
  • A collection of implementations of the interface
  • A collection of data structures that use the interface for memory allocation

For more information on APIs provided by rmm, see the modules page.