Chapter 7

Convolution

An introduction to constant memory and caching

Abstract

This chapter presents convolution as an important parallel computation pattern. While convolution is used in many applications such as computer vision and video processing, it also represents a general pattern that forms the basis of many parallel algorithms. We start with the concept of convolution. We then present a basic parallel convolution algorithm whose execution speed is limited by DRAM bandwidth for accessing both the input and mask elements. We then introduce the constant memory and a simple modification to the kernel and host code to practically eliminate all the DRAM accesses. This is followed by an input tiling kernel that eliminates most of the DRAM accesses ...

Get Programming Massively Parallel Processors, 4th Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.