The oneAPI Collective Communications Library (oneCCL) provides primitives for the communication patterns that occur in deep learning applications. oneCCL supports both scale-up for platforms with multiple oneAPI devices and scale-out for clusters with multiple compute nodes.

oneCCL supports the following communication patterns used in deep learning (DL) algorithms:

  • allgatherv

  • allreduce

  • alltoallv

  • broadcast

  • reduce

  • reduce_scatter

oneCCL exposes controls over additional optimizations and capabilities such as:

  • Prioritization for communication operations

  • Persistent communication operations (enables decoupling one-time initialization and repetitive execution)