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Algebraic Multigrid on a Dragonfly Network: First Experiences on a Cray XC30 Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Performance Analysis of a High-Level Abstractions-Based Hydrocode on Future Computing Systems

Authors : G. R. Mudalige, I. Z. Reguly, M. B. Giles, A. C. Mallinson, W. P. Gaudin, J. A. Herdman

Published in: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

Publisher: Springer International Publishing

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Abstract

In this paper we present research on applying a domain specific high-level abstractions (HLA) development strategy with the aim to “future-proof” a key class of high performance computing (HPC) applications 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 applications at the University of Oxford. OPS uses an “active library” approach where a single application code written using the OPS API can be transformed into different highly optimized parallel implementations which can then be linked against the appropriate parallel library enabling execution on different back-end hardware platforms. The target application in this work is the CloverLeaf mini-app from Sandia National Laboratory’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 application to utilize the OPS high-level framework and subsequent code generation to obtain a range of parallel implementations, and (2) the performance of the auto-generated OPS versions of CloverLeaf compared to that of the performance of the hand-coded original CloverLeaf implementations on a range of platforms. Benchmarked systems include Intel multi-core CPUs and NVIDIA GPUs, the Archer (Cray XC30) CPU cluster and the Titan (Cray XK7) GPU cluster with different parallelizations (OpenMP, OpenACC, CUDA, OpenCL and MPI). Our results show that the development of parallel HPC applications using a high-level framework such as OPS is no more time consuming nor difficult than writing a one-off parallel program targeting only a single parallel implementation. However the OPS strategy pays off with a highly maintainable single application source, through which multiple parallelizations can be realized, without compromising performance portability on a range of parallel systems.

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previous chapter A CUDA Implementation of the High Performance Conjugate Gradient Benchmark
next chapter Insight into Application Performance Using Application-Dependent Characteristics
Footnotes
1
A similar approach is used in the C kernel implementations of the original CloverLeaf application.
 
2
On Intel compilers, IEEE_FLAGS=-ipo -fp-model strict -fp-model source -prec-div -prec-sqrt.
 
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Metadata
Title
Performance Analysis of a High-Level Abstractions-Based Hydrocode on Future Computing Systems
Authors
G. R. Mudalige
I. Z. Reguly
M. B. Giles
A. C. Mallinson
W. P. Gaudin
J. A. Herdman
Copyright Year
2015
Book
High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

Print ISBN: 978-3-319-17247-7

Electronic ISBN: 978-3-319-17248-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-17248-4_5