COM4521/COM6521 Parallel Computing with Graphical Processing Units (GPUs) COM4521/COM6521 Parallel Computing with Graphical Processing Units (GPUs) Assignment (80% of module mark) Deadline: 5pm Friday 17th May (Week 12) Starting Code: Download Here Document Changes Any corrections or changes to this document will be noted here and an update will be sent out via the course’s …
What you need to do You are to select a real world software application and manually parallelize it. That is, take any application that is not written in an explicitly parallel fashion and transform it so that it executes as efficiently as possible on a particular parallel computer. The software application can be whatever you …
Project 2: Efficient Dense Matrix Multiplication This project weights 12.5% for your final grade (4 Projects for 50%) Release Date: October 11th£¬2023 (Beijing Time, UTC+08:00) Deadline: 11:59 P.M., October 27th, 2023 (Beijing Time, UTC+08:00) TA In Charge of This Assignment Mr. Yang Yufan for Parallel Program Implementation Mr. Liu Yuxuan for Profiling Prologue For the …
Project 1: Embarrassingly Parallel Programming This project weights 12.5% for your final grade (4 Projects for 50%) Release Date: September 22nd, 2023 (Beijing Time, UTC+8) Deadline (Submit on BlackBoard): 11:59 P.M., October 10th, 2023 (Beijing Time, UTC+8) As the first programming project, students are required to solve embarrassingly parallel problem with six different parallel programming …
CSC3185: Introduction to Multimedia Systems, CUHKSZ Read More »
Homework 4 starter code dense data In this homework, we will implement an object detector from scratch. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution. We will …
Homework 3 starter code data dense data In this homework, we will use all the trick at our disposal to tune a classification network on supertux. We then make this classification network fully convolutional and solve a semantic labeling task (labeling every pixel in the image). This assignment should be solved individually. No collaboration, sharing …
Homework 5 starter code In this homework, we will train a CNN to do vision-based driving in SuperTuxKart. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution. We …
Extra credit homework starter code In this homework, you will work with character-level language models. These models take as input a sequence of characters and predict the next character. You will first implement functionalities for an abstract language model, then build a new Temporal Convolutional Network (TCN). This assignment should be solved individually. No collaboration, …
Homework 2 starter code data In this homework, we will train a convolutional network to classify images from SuperTuxKart. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution. …
600086-Lab-I Parallel Particle Systems Concept Implement two versions of a simple aerosol paint simulation, one on the CPU and the other on the GPU. Specification The scene is composed of a white sheet of paper placed in the centre of a desk. A number of aerosol cans stand on the desk in a circle that …