Distributed Workflows in Bioinformatics - Parallel Computing for Bioinformatics and Computational Biology - page 575

Initialize

Initialize

Evaluate(0)

Evaluate(40)

Evaluate

Collate

Collate

Multiple evaluations

Test

Test

Multiple evaluations

Classify

Classify

ReEval(1) ReEval(N))

ReEval

Extract Reassign

Extract

Reassign

Figure 23.10 ( a ) Shows the swarm workflow on the left and the same workflow with the
parallelisms defined. ( b ) Shows the swarm workflow as comprised using Wildfire .

their flying direction. The construct is specifically used because at each evolution, the
set of leaders and followers changes and pforeach is able to reflect those changes
through the variable number of matches of the pattern it finds at each evolution. The
syntax pfor works similar to the pforeach except that it expands in parallel the
statement it encloses by stepping from the starting integer to the ending integer in
steps of + 1.