4 edition of Parallelising serial code found in the catalog.
Thesis (M.Phil.), - University of Manchester, Department of Computer Science.
|Statement||University of Manchester|
|Publishers||University of Manchester|
|The Physical Object|
|Pagination||xvi, 129 p. :|
|Number of Pages||59|
nodata File Size: 10MB.
All the directives start with pragma omp. Reduction can be performed in OpenMP through the directive: pragma omp parallel Parallelising serial code reduction op:va where op defines the operation that needs to be applied whilst performing reduction on variable va. Total accuracy is not the main point of this whole exercise. This directive tells the compiler to parallelize the for loop below.
In selection sort, the parallelizable region is the inner loop, where we can spawn multiple threads to look for the maximum element in the unsorted array division. This is due to the fact that returning from the if will result in an invalid branch from OpenMP structured block. Linear search or sequential search is a method for finding a target value within a list. By parallelizing the implementation, we make the multiple threads split the data amongst themselves and then search for the largest element independently on their part of the list.
r] using mergesort involves three steps. The problem I put forth was simply this: What is the longest stopping time possible for integers below some limit? We need to implement both left and right sections in parallel. You will not see how the threads are synchronized or how reduction will be performed to procure the final result.
Then we can reduce each local maximum into one final maximum.
3 Combine Step Combine the elements back in A[p.
Merge sort also commonly spelled mergesort is an efficient, general-purpose, comparison-based sorting algorithm.
I did however become slightly obsessed with the stopping times of the sequences.