OneAPI is an open
standard for a unified application programming interface intended to be
used across different compute accelerator architectures, including CPUs,
GPUs, AI accelerators and field-programmable gate arrays (FPGA). It's
aim is to unify the programming model as well as simplifying
cross-architecture development. It also provides libraries for:
- Deep Neural Network learning applications.
- Collective Communications for machine learning and deep learning projects.
- Data Analytics making big data analysis faster using optimized algorithms.
In this workshop, we will explore some of the optimized Python math libraries and image inferencing toolkit using oneAPI. We will also look at how the toolkit can be used to optimize Pytorch and recent YOLOv8 models. Some performance benchmarking will also be discussed and demonstrated.
This workshop will be delivered online in one session:
- June 19 from 1:30 P.M. to 4:30 P.M. (Eastern Daylight Time)
- Teacher: Peter Darveau