This virtual workshop will cover the Intel Math Kernel Library (MKL), Collective Communication Library (oneCCL) and the MPI Library as part of the oneAPI training series. Details on each topic are below.
Registration via Teams is required to attend.
oneAPI MKL - Intel Math Kernel Library (MKL): accelerate math procession routines, increase application performance, and reduce development time. MKL includes Linear algebra, fast flourier Transforms (FFT) Vector statistics and data fitting, vector math and miscellaneous solvers.
Intel oneAPI Collective Communications Library (oneCCL):
Intel oneAPI Collective Communications Library (oneCCL) is a scalable and high-performance communication library for Deep Learning (DL) and Machine Learning (ML) workloads. It develops the ideas that originated in Intel® Machine Learning Scaling Library and expands the design and API to encompass new features and use cases.
Intel MPI Library:
Intel® MPI Library is a multifabric message-passing library that implements the open-source MPICH specification. Use the library to create, maintain, and test advanced, complex applications that perform better on high-performance computing (HPC) clusters based on Intel® processors.
- Develop applications that can run on multiple cluster interconnects that you choose at run time.
- Quickly deliver maximum end-user performance without having to change the software or operating environment.
- Achieve the best latency, bandwidth, and scalability through automatic tuning for the latest Intel® platforms.
- Reduce the time to market by linking to one library and deploying on the latest optimized fabrics.