Shared Memory Parallelism in Ada: Load Balancing by Work Stealing
- Track: Ada devroom
- Room: AW1.125
- Day: Saturday
- Start: 13:00
- End: 13:20
Tasking in Ada provides an effective tool for shared memory parallelism. For coarse grained regular parallelism, load balancing works with one single job queue. For finer grained and irregular parallelism, work stealing balances the load with multiple job queues. The programming concepts will be illustrated with examples of algorithms in polyhedral geometry. The demonstrated code belongs to the free and open source PHCpack, at https://github.com/janverschelde/PHCpack.
Speakers
Jan Verschelde |