Performance Analysis of a High-level Abstractions-based Hydrocode on Future Computing Systems

Abstract. In this paper we present research on applying a domain spe-cific high-level abstractions (HLA) development strategy with the aim to “future-proof “ a key class of high performance computing (HPC) ap-plications that simulate hydrodynamics computations at AWE plc. We build on an existing high-level abstraction framework, OPS, that is being developed for the solution of multi-block structured mesh-based applica-tions at the University of Oxford. OPS uses an “active library ” approach where a single application code written using the OPS API can be trans-formed into different highly optimized parallel implementations which can then be linked against the appropriate parallel library enabling exe-cution on different back-end hardware platforms. The target application in this work is the CloverLeaf mini-app from Sandia National Labora-tory’s Mantevo suite of codes that consists of algorithms of interest from hydrodynamics workloads. Specifically, we present (1) the lessons learnt in re-engineering an industrial representative hydro-dynamics applicatio