16 7x13 (mpirun 16) 16 5x29 (mpirun 16) 16 11x43 (mpirun 16) 16 67x1 (mpirun 16) 36 11x1 (mpirun 36) 36 10x1 (mpirun 36) 36 7x13 (mpirun 36) 36 5x29 (mpirun 36) 36 11x43 (mpirun 36) 36 67x1 (mpirun 36) Table : The effect of work unit shape on computational efficiency as well as test for arbitrary work unit size Report Within your report you must: Include an abstract, a detailed design of your solution, a results section you present your findings, in addition to your analysis, and a conclusion. Explain how you performed the partitioning and how you handled the extra work if there was some leftover area. Discuss the effects of parallel implementation and explain why these effects are present. Compare and contrast the efficiency of each method. From Table 4 obtain a graph with three curves with work unit size on the X-axis and execution time on the Y-axis. One curve should be for each quantity of processes.
16 (mpirun 16) 7x13 16 (mpirun 16) 5x29 16 (mpirun 16) 11x43 16 (mpirun 16) 67x1 36 (mpirun 36) 11x1 36 (mpirun 36) 10x1 36 (mpirun 36) 7x13 36 (mpirun 36) 5x29 36 (mpirun 36) 11x43 36 (mpirun 36) 67x1 Table : The effect of work unit shape on computational efficiency as well as test for arbitrary work unit size Report Within your report you must: Include an abstract, a detailed design of your solution, a results section you present your findings, in addition to your analysis, and a conclusion. Explain how you performed the partitioning and how you handled the extra work if there was some leftover area. Discuss the effects of parallel implementation and explain why these effects are present. Compare and contrast the efficiency of each method. From Table 4 obtain a graph with three curves with work unit size on the X-axis and execution time on the Y-axis. One curve should be for each quantity of processes.
Spring2017_Assignment_2.docx