Task Mapping for Emerging Network Topologies
This project aims to improve the performance of large scientific
simulations on next-generation high-performance computing (HPC)
systems by developing new strategies for task mapping, the assignment
of specific parts of an application to each of the many processing
nodes in an HPC system.
The specific network topology studied is Dragonfly, two variations of
which are used in commercial systems.
By improving application performance on next-generation HPC systems,
the project will help realize the full potential of these powerful
systems.
Publications and presentations
In this project, we created the following major products:
-
Shortest paths in Dragonfly systems.
Written with Ryland Curtsinger (Knox `19).
Proceedings of the
5th IEEE International
Workshop of High-Performance Interconnection Networks in the Exascale and Big-Data Era
(HiPINEB), 2019.
- Brief annoucement: Coloring-based task mapping for
Dragonfly systems.
Written with Ink Chinavinijkul (Knox `18), Jacob Newcomb (Knox `20),
and Lingzhi Xi (Knox `18).
Proceedings of the
30th Annual ACM Symposium on Parallelism in Algorithms and
Architectures (SPAA), pages 91-93, 2018.
- Improving Valiant routing for Slim Fly networks.
Written with Deyu Han (Knox `16) and Zhaofeng Wang (Knox `17).
Proceedings of the
10th International Workshop on Parallel Programming
Models and Systems Software for High-End Computing (P2S2), 2017.
-
Task mapping for emerging network topologies.
Poster presented at the
NSF CSR PI meeting, 2017.
- New link arrangements for Dragonfly networks.
Written with Madison Belka (Knox `17), Myra Doubet (Knox `19), Sofia Meyers (Knox `17),
Rosemary Momoh (Knox `17), and David Rincon-Cruz (Knox `17).
Proceedings of the
3rd IEEE International Workshop on
High-Performance Interconnection Networks in the Exascale and
Big-Data Era (HiPINEB), 2017.
-
Comparing global link arrangements for Dragonfly networks.
Written with Emily Hastings (Knox `16), David Rincon-Cruz (Knox `17),
Marc Spehlmann (Knox `15), Sofia Meyers (Knox `17), Anda Xu (Knox `15),
and Vitus J. Leung.
Proceedings of IEEE Cluster,
pages 361-370, 2015.
All the students involved in the project have also presented their
work at Knox and several of them has presented in other venues focused
on undergrad research.
This material is based upon work supported by the National Science
Foundation under Grant
CNS-1423413.
Any opinions, findings, and conclusions or recommendations expressed
in this material are those of the author(s) and do not necessarily
reflect the views of the National Science Foundation.
Last modified July 2019 by
dbunde@knox.edu