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ARM Neon

NEON Engine

Course Family:
ARM Extensions
SKU/Ref:
ARM_NEON

Course Objectives

This course aims to explain NEON SIMD instructions and C new operators to enable participants to vectorize, code and optimize DSP-like algorithms. They will get a detailed understanding of the instructions and CPU mechanisms that have an impact on the performance: cache, MMU and branch accelerators. Many labs, coded in C language, contribute to become familiar with this rich instruction set. Differences between AArch32 and AArch64 NEON implementations will be highlighted.

General Information

Prerequisites

Familiarity with any Cortex-A CPUs

Duration & Attendance

  • 2 days
  • Min/max number of participants: 3-15

Location

On site/intra

Target Audience

Engineers and technicians who are involved in algorithm vectorization, NEON coding and performance optimization.

Program Overview

Day 1 Day 2
INTRODUCTION TO NEON / VFPv3 (2 hours) CODING EXAMPLES (4 hours)
INSTRUCTION SET (5 hours) PERFORMANCE OPTIMIZATION (3 hours)

 

The detailed course program is available upon request. For on-site training, we can provide a customized program specifically tailored for your audience, needs, and schedule. Contact us to discuss this option.

Additional Information

Teaching Methods & Tools
Lectures with supporting slides, use of projector
Labs are developed and debugged using GCC compiler and Lauterbach Trace32 debugger/simulator
Performance metrics are obtained by using an i.MX6 board supporting an ARM Cortex-A9 cluster
Evaluation & Certification
Trainees are quizzed orally at the end of each chapter
Each trainee will fill out and return a training evaluation form upon completion of the training course
All attendees receive a Certificate of Completion upon completion of the training course
Technical Material
Training manuals given to attendees during training in pdf format
Attendees should bring their laptops for local access to course material (presentation, datasheets, …)
Notepad and pen are provided

Complementary Products & Services

PLDA has also developed an optimized FFT using NEON SIMD instructions

Contact us to Learn More