Parallel Computer Architectures Cluster and Cloud Computing - NME3510

Assessment 3: Oral presentation/assessment

Oral presentation/assessment

Assessment 4: Practical skills assessment

Practical skills assessment

Assessment 2: Practice exam/test

Practice exam/test

Assessment 1: Quizzes / polls

Quizzes / polls

Assessment 3: In-Class Test

Whole syllabus, unseen, closed book, in person. Exam conditions apply.

In-Class Test

Assessment 1: Written Assignment

Taught material will contribute an element every week to the SAIL programme (Score As I Learn) submitted via the VLE platform. 11 x 15 minutes weekly assignments. Each assignment will be worth 3%. Taking the best 8 out of 11 scores.

Written Assignment

Assessment 2: Written Assignment

A report, will present student&#39;s results of practical work in deploying a computer cluster in a cloud, installing cloud computing software, and evaluating a cluster performance using MPI parallel programs and benchmarks.

<p>Many existing and future computer-based applications impose exceptional demands on performance that traditional computer systems cannot offer. Hence, there is a need for High-Performance Computing, Cluster and Cloud Computing which are driving scientific, technological and social innovation. In this module you will gain in-depth knowledge of Cluster and Cloud Computing technologies. The practical exercises will give you experience of building a computer cluster using laboratory hardware or in a cloud; parallel programming and applications.</p>

Requirements apply to students taking an IET accredited course. Please refer to the Programme Specification Document for details.

School of Computing and Engineering

<p>https://library.hud.ac.uk/readinglists/NME3510</p>

Electrical Engineering

NME3510 - Parallel Computer Architectures Cluster and Cloud Computing

Parallel Computer Architectures Cluster and Cloud Computing

Evaluate cluster performance using an appropriate software tool and benchmarks, and implement cluster and cloud applications.

Setup a computer cluster, using COTS hardware components or in a cloud, using cluster middleware.

Discern the fundamental components of cluster architecture, such as commodity components for clusters, network services/communication software, cluster middleware, and programming environments.

Understand the fundamental aspects of parallel and distributed processing.

Understand cloud infrastructure, resource virtualisation, management and scheduling.