Approach

The course is made up from a general overview before taking delegates through a case study of the optimizations.

The course uses on demand training videos blended with live virtual instructor led sessions delivered via Zoom. Learning activities such as walkthrough examples and quizzes are also incorporated into the training to help bring the learning to life. A pre course call with the engineer delivering the training is also recommended to ensure we meet your specific teams training needs.

Course Details

Total Duration	1/2 day
Scheduling	1 x 1/2 day
Delivery Method	Instructor led live classroom with supporting online video where relevant
Location	Virtual via Zoom
Audience	Engineers who work on Machine Learning projects and would like to use Compute Library in their projects.
Prerequisites	Some background knowledge about OpenCL and Machine Learning.
Related Products	Arm Mali GPUs, Arm Cortex-A CPUs

Topics

Agendas will be created from the following list of fundamental topics.

Key:* Online and on-demand

Fundamental Topics

Compute Library Introduction
Overview
Compiling
Structure
Optimization Case Study
Gaussian Pyramid Optimization
Integral Image Optimization
SGEMM Optimization
Winograd Implementation

Example Training Courses

Examples of how the above topics can be combined into differing course options are given below.

Introduction to Arm Compute Library

Overview
Optimization Case Study