High Performance Computing Dissertation Help UK

High Performance Computing Dissertation Help

Drafting perfect high performance computing dissertation is not everyone’s cup of tea. It requires in-depth knowledge in correlation with the discipline. Students generally get stuck while solving the allotted heaps of assessment tasks as they fail to apply the appropriate computing technologies. Thus, they look for genuine High Performance Computing dissertation help.

High performance computing uses powerful networks, processors, and parallel supercomputers to handle issues that are computational or data-intensive. This is a practically focused and an applied course where students develop and run software utilising a wide range of techniques and programming languages. Students in this course will learn leading-edge high performance computing technologies or develop skills to use the full potential of the largest multicore processors and supercomputers.

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List of Institutes in UK Offering High Performance Computing Course

• University of Edinburgh
• University of Cambridge
• University of London
• University of Plymouth
• University of Nottingham
• University of Southampton
• University of Warwick
• Imperial College London
• University of Bath
• Kingston University London
• University of Essex
• University of Leeds
• University of Aberdeen
• University of Bristol
• Cardiff University
• Manchestor University

The aforementioned universities or institutes in UK are renowned for their quality of teaching and research and they offer distinct inter-related degree courses. If you are studying in any of these universities, then it is very important to follow all marking rubrics and meet deadlines.

Structure of Course

The Bachelors in high performance computing course comprises of the following units:

• High performance computing architecture
• Threaded programming
• Message passing programming
• Software development
• Numerical algorithms
• Performance programming
• Advanced parallel techniques
• Parallel algorithms
• Parallel design patterns
• Advanced message passing programming
• Data Management Fundamentals
• Data analytics
• Extreme computing

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Learning Outcomes of Course

After completing the course successfully, students will become capable in:

• Understanding the role of high performance computing in science and engineering.
• Understanding famous parallel programming paradigms.
• Understanding commonly employed high performance computing platforms with specific reference to cluster systems.
• Understanding the means of assessing, measuring, and analysing the performance of high performance computing applications.
• Understanding the roles of administration, workloads and resource management in a high performance computing management software.
• Understanding the mechanism for the evaluation of suitability of distinct high performance computing solutions to solve scientific issues.

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Career Opportunities

Graduates of the course are in huge demand by commercial engineering software developers, mobile application developers, financial software developers, automotive, medical, telecommunications, and other industries or research organisations, have been successful in long-term employment. After completing the degree course, graduates may get hired in the following companies:

• FACTSET,
• SAP,
• Ocado,
• HSBC,
• BluAge,
• IBM,
• UBS,
• FDM,
• Mandara Capital,
• Mindsnacks,
• Oracle,
• Commerzbank AG.

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Our Experts Discuss the Approach to Draft High Performance Computing Dissertation

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Gain crucial skills from our experts in relevance to the high performance computing technologies. Under their guidance, you will be able to write the most effective dissertation or projects in correlation with high performance computing. They encourage students to follow the below mentioned approach to draft a perfect assessment solution:

• Check the type of assignment (essay, reports, email communications, articles, case studies, thesis or dissertation, literature review, etc.) and formulate the solution accordingly.
• Note down the desired referencing style (APA, MLA, Chicago, etc.).
• Look for the required formatting style before commencing the assignment solution.
• Carefully note down the overview of the assignment and then prepare a draft after conducting in-depth and high performance computing research.
• Write the assignment solution by strictly following the marking rubrics provided by the university.
• Incorporate their problem solving, critical thinking, and programming skills along with knowledge of the high performance computing methodologies, numerical algorithms, parallel algorithms, and data analytics to solve different assignments.
• Include all necessary elements, software, and methodologies desired in the assignment.
• After completion of the assignment solution written in a perfect layout format with proper citation of references, read the file at-least twice or thrice to rectify any error.

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