With the age of Exascale computing causing a diversification away from traditional CPU-based homogeneous clusters, it is becoming increasingly difficult to ensure that computationally complex codes are able to run on these emerging architectures. This is especially important for large physics simulations that are themselves becoming increasingly complex and computationally expensive. One proposed solution to the problem of ensuring these applications can run on the desired architectures is to develop representative mini-applications that are simpler and so can be ported to new frameworks more easily, but which are also representative of the algorithmic and performance characteristics of the original applications. In this paper we present BookLeaf, an unstructured Arbitrary Lagrangian-Eulerian mini-application to add to the suite of representative applications developed and maintained by the UK Mini-App Consortium (UK-MAC). First, we outline the reference implementation of our application in Fortran. We then discuss a number of alternative implementations using a variety of parallel programming models and discuss the issues that arise when porting such an application to new architectures. To demonstrate our implementation, we present a study of the performance of BookLeaf on number of platforms using alternative designs, and we document a scaling study showing the behaviour of the application at scale.
|Title of host publication||Proceedings - 2018 IEEE International Conference on Cluster Computing, CLUSTER 2018|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||8|
|Publication status||Published - 29 Oct 2018|
|Event||2018 IEEE International Conference on Cluster Computing, CLUSTER 2018 - Belfast, United Kingdom|
Duration: 10 Sept 2018 → 13 Sept 2018
|Name||Proceedings - IEEE International Conference on Cluster Computing, ICCC|
|Conference||2018 IEEE International Conference on Cluster Computing, CLUSTER 2018|
|Period||10/09/18 → 13/09/18|
Bibliographical noteFunding Information:
This work was supported by the UK Atomic Weapons Establishment under grant CDK0724 (AWE Technical Outreach Programme). Professor Stephen Jarvis is an AWE William Penney Fellow.
© 2018 IEEE.
- HPC mini apps openmp fortran
ASJC Scopus subject areas
- Hardware and Architecture
- Signal Processing