RC0	VFP programming

This course explains how to use VFP instructions to boost multimedia algorithms

Objectives This course has been designed for programmers wanting to develop algorithm based on hardware floating point calculations. Each instruction family is detailed, first at assembly level, and then at C level using macros. Several tricky usage of vector instructions are provided. The underlying cache operation as well as preload mechanisms (instruction and hardware prefetch) are detailed to explain how a processing can be pipelined . The course shows how DSP typical algorithms such as FIR and FFT can be vectorized and then optimized to be executed on VFP unit. THIS COURSE IS PROPOSED EITHER AS AN INSTRUCTOR-LED COURSE OR AS E-LEARNING. ACSYS has developed an optimized VFP based FFT coded in assembler language performance for 1024 complex floating point single precision samples is 220_000 core clock cycles (ARM11) for any information contact guillaume.peron@ac6.fr Labs are run under RVDS A more detailed course description is available on request at info@ac6-training.com

Prerequisites
	Knowledge of 4T / V5TE instruction set.

Outline

IEEE754 STANDARD Floating point number coding Denormalized numbers NaN utilization Rounding modess VFP FPEXC register INTRODUCTION TO VFPv3 Register bank, D registers, S registers Instruction coding, either ARM or Thumb-2 Related system registers Alignment issues Context switching VECTOR vs SCALAR OPERATION Length / Stride combinations Scalar operations Vector operations Mixed operations VFP LOAD / STORE INSTRUCTIONS Addressing modes Floating point load / store Floating point load / store multiple Processor acceleration mechanisms: store merging buffers

ARITHMERICAL INSTRUCTIONS Add / subtract / absolute value instructions Multiply and multiply accumulate instructions Divide instruction Square root instruction Compare instructions Integer to FP and FP to convert instructions VFP CODING EXAMPLES FIR filter Converting the scalar algorithm into a vector algorithm Finding the VFP instructions to encode the vector algorithm Optimizing the code FFT (DFT) Converting the scalar algorithm into a vector algorithm, understanding how circle properties can be used to process 4 angles concurrently Finding the VFP instructions to encode the vector algorithm Optimizing the code

 

Duration	Cost	Calendar
1 days	700 €