1. Design of parallel algorithms Sorting J. Porras

2. Problem Rearrange numbers (x 1,...,x n ) into ascending order ? What is your intuitive approach –Take one at a time an insert into correct place –Exchange elements in incorrect places –Select largest and separate, select 2nd largest,... –Compare the rank of each number (enumeration) –Some special approach

3. Terminology Internal –Fits into memory External –External storage is needed Comparison-based –Compare-and-exchange Non-comparison based –Use properties of the elements

4. Approaches Internal –Insertion (straight, binary, shellsort) –Exchanging (Bubble, Batcher, Quick, Radix) –Selection (Straight, Heap) –Merging (Two-way, natural two-way) –Distribution (Bucket, Radix) External Networks of sorting –Bitonic

5. Parallel aspects Input/output location Comparisons # of elements per processor Architecture –# of processors –interconnection network

6. Practical exercise II Each person is given a sorting method that is implemented to our cluster environment Problem is –Defined and analysed beforehand to get some idea how fast the approach may work –Implemented –Results are collected and compared to the results of other persons (times, usage of network, work,...) Parameters –2,3,4 processors –Array of 10, 100, 1000, 10000, 100000 elements

7. Algorithms (Pipelined) bubble sort Odd-even transposition Shellsort Quicksort Bucket/Sample sort Radix sort Merge sort Selection Bitonic network