ECE 4530 : Parallel Processing - Shared Memory GPU Programming - IT Assignment Help

Assignment Task :

Introduction 

As discussed in class, effective use of shared memory is an essential part of writing efficient GPU kernels. In Lab 5 you implemented a global-memory implementation of an image blur kernel for OpenCL and CUDA. In this assignment you will implement a tiled shared memory implementation of the blur function kernel, and compare its performance to the global-memory implementation. 

Assignment 1: Shared Memory GPU Programming  

2.1 Instructions 

Given your solution to Lab 5 and the course notes on effective use of shared memory, modify your kernel for either OpenCL or CUDA (your choice) so that it takes a 2-D tiled-memory approach. 

2.2 Questions and Discussion 

Q1. In your own words explain how your shared-memory implementation works and why you expect it to be faster than a global-memory implementation. 

Q2. For a fixed image of your choice (at least several hundred pixels by several hundred pixels) run both your shared-memory and global-memory kernels for a fixed block size (your choice) and different blur levels. Plot or tabulate the results as a function of blur level and discuss the results. Are they what you expect? Why or why not? 

Q3. For a fixed blur level, time your shared-memory and global-memory kernels for different block sizes. Plot or tabulate the results as a function of block size and discuss the results. Are they what you expect? Why or why not? 

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