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Lincoln School of Computer Science |
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Assessment Item Briefing Document |
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Title: CMP3110M Parallel Computing, Assessment Item One, Coursework |
Indicative Weighting: 30% |
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Learning Outcomes: On successful completion of this assessment item a student will have demonstrated competence in the following areas:
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Requirements Your task is to develop a tool for analysing historical weather records from Lincolnshire. The provided data files include records of air temperature collected over a period of more than 80 years from five weather stations in Lincolnshire: Barkston Heath, Scampton, Waddington, Cranwell and Coningsby. Your tool should be able to load the provided dataset and perform statistical summaries of the temperature records including the min, max and average values. The provided summaries should be performed on the entire dataset regardless their acquisition time and location. For additional credit you can consider more detailed statistics in a form of a histogram. Further extensions to the system might consider seasonal variations in the temperature data and provide summaries for each month of the year. Due to the large amount of data (i.e. 1.8 million temperature readings), the statistical calculations should be performed on parallel hardware and implemented by software written in OpenCL. You can base your code on the material provided during workshop session but you are not allowed to use any existing parallel libraries. To help you with code development, a shorter dataset is also provided which is 100 times smaller. The original file is called “temp_lincolnshire.txt” and the short dataset is “temp_lincolnshire_short.txt”. More details about the file format are included in the “readme.txt” file. The output results and critical parameters (e.g. histogram bin width/size) should be reported in a console window in a clear and readable format. The main assessment criteria for this task are related to the correctness of the developed algorithms. Further credit will be given for additional optimisation strategies which improve the parallel performance of the tool. The code should be well commented and clearly structured into functional blocks. |
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Useful Information This assessment is an individually assessed component. You will be required to demonstrate your developed code during a dedicated workshop session in the computing labs. Only the submitted code will be considered during demonstrations so further developments occurring after the deadline will not be taken into account. The demonstration date and further details will be provided during lectures. Please make sure you have a clear understanding of the grading principles for this component as |
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detailed in the accompanying Criterion Reference Grid. If you are unsure about any aspect of this assessment component, please seek the advice of a member of the delivery team. |
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Submission Instructions The deadline for submission of this work is included in the School Submission dates on Blackboard. You must make an electronic submission of your work by using the assessment link on Blackboard for this component. All developed code should be submitted as a single ZIP file. It is important that you check that your .ZIP file decompresses to a Visual Studio project that can be directly built and executed on the computers in the computing labs. This will be required during the final demonstration of your work. Do not include the dataset files as they would increase significantly the size of your project. There is no written report required for this submission. DO NOT include this briefing document with your submission. |