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Coursework Submission Requirements and Detailed Specification for COMP1680

Submission Requirements

Coursework Submission Requirements • An electronic copy of your work for this coursework must be fully uploaded by 23:30 on the Deadline Date of Wednesday 15/12/2021 using the link on the coursework Moodle page for COMP1680. • For this coursework you must submit a PDF document and a zip file of your code. In general, any text in the document must not be an image (i.e. must not be scanned) and would normally be generated from other documents (e.g. MS Office using "Save As .. PDF"). An exception to this is hand written mathematical notation, but when scanning do ensure the file size is not excessive. • There are limits on the file size (see the relevant course Moodle page). • Make sure that any files you upload are virus-free and not protected by a password or corrupted otherwise they will be treated as null submissions. • Your work will not be printed in colour. Please ensure that any pages with colour are acceptable when printed in Black and White. • You must NOT submit a paper copy of this coursework. • All courseworks must be submitted as above. Under no circumstances can they be accepted by academic staff The University website has details of the current Coursework Regulations, including details of penalties for late submission, procedures for Extenuating Circumstances, and penalties for Assessment Offences. See Detailed Specification This coursework is to be completed individually. To complete this assignment you will need the source code provided at the following URLs. You are provided with a two C program codes (called jacobi2d.c and gauss2d.c) that solve a rectangular 2 dimensional heat conductivity problem using the Jacobi and Gauss-Seidel iterative methods. This code can be compiled and linked to produce a conventional executable files called jacobiSerial and gaussSerial by using the following commands: gcc jacobi2d.c –o jacobiSerial gcc gauss2d.c –o gaussSerial To run the executable type in the executable name: jacobiSerial or gaussSerial As you implement each of the following 4 steps make sure that you retain and do not overwrite previous versions of your solutions. Step 1 (25 Marks) You are required to compute a temperature distribution for a rectangular 2D problem with boundary conditions set at top 100°C, bottom 20°C, left 30°C and right 40°C with a range of problem sizes. To do this you are required to modify the codes to: • reflect the boundary conditions described above • report the execution time Record the run-time of your code under a range of problem sizes using different levels of compiler optimization. Be advised that: • it is possible that aggressive optimization will break the code • you will need to stop the results from printing if you are to obtain realistic measurements of the execution time. Step 2 (30 Marks) You are then required to modify the applications you created in step 1 to produce a basic parallel version of the codes using OpenMP. The following commands will compile your parallel version on a platform that has OpenMP installed: gcc -fopenmp jacobiOpenmp.c –o jacobiOpenmp gcc -fopenmp gaussOpenmp.c –o gaussOpenmp The parallel codes must include timers to report the parallel run-time of the code. This version must be tested to establish correct operation using 1, 2, 4 and 8 threads/processors, regardless of performance. (These versions may run on any platform you choose as performance is not an issue at this stage.) Include in your report, the result for a 20x20 problem size for 1,2,4 and 8 processors to demonstrate the code works correctly. Run the Gauss-Seidel code for only 1 iteration using 1 and 2 threads for a 20x20 problem size. Output the result along with the timings. Discuss the differences in the solutions. Step 3 (30 Marks) Using the cms-grid machines you are to run performance tests with the OpenMP implementation you created in step 2. This will require that you remove most of the print output from the code and increase the problem size to provide sufficient work to demonstrate useful speedup. You are expected to provide speedup results: • for a range of problem sizes, you are unlikely to see much speedup for small domains, use at least 100x100+ • for a range of number of threads (from 2 up to 8 threads) In calculating the speedup of your parallel code you should use the optimized single processor version of your code you produced in step 1 and compare to this. You will need to apply similar compiler optimizations to your parallel code. Please list your runtimes in a suitable unit. Step 4 (15 Marks) Using different OpenMP directives and clauses you are to further modify your OpenMP application to improve the parallel performance. You are expected to provide results that permit comparison with those you obtained in steps 2 and 3. Comment on the differences between optimising the Jacobi and Gauss-Seidel Methods. Deliverables • A PDF file with your report •A ZIP file with the source code for your solutions. Your report is required to provide details of your implementation of steps 1 to 4 as described above. The report should include discussion of your solutions and provide a clear description of; the code changes you have implemented, your compilation and execution processes and your test cases. For steps 3 and 4 you are expected to provide tabular and graphical results. Comment on the differences between the two methods and the effect on parallelisation. Your zip file should provide suitably named source code files for each of your implementations. Grading Criteria To achieve a pass mark it is expected that an outline solution will be provided in which at least a basic attempt is evident with some progress. To achieve a mark in the merit range it is expected that a good solution is provided in which there is clear evidence of progress and understanding. To achieve a distinction mark it is expected that high quality solutions and reports are provided in which there is clear evidence of competence in practical, theoretical and presentation skills. If you are unsure about any of these instructions, then please email your tutor or make an appointment to see your tutor as soon as poss

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