Introduction

Overview

OPS (Oxford Parallel library for Structured mesh solvers) is a high-level embedded domain specific language (eDSL) for writing multi-block structured mesh algorithms, and the corresponding software library and code translation tools to enable automatic parallelisation on multi-core and many-core architectures. Multi-block structured meshes consists of an unstructured collection of structured meshes. The OPS API is embedded in C/C++ and Fortran.

The current OPS eDSL supports generating code targeting multi-core/multi-threaded CPUs, many-core GPUs and clusters of CPUs and GPUs using a range of paralleization models including SIMD vectorization, OpenMP, CUDA, OpenCL, OpenACC and their combinations with MPI. There is also experimental support for paralleizations using SYCL and AMD HIP. Various optimizations for each paralleization can be generated automatically, including cache blocking tiling to improve locality. The OPS API and library can also be used to solve multi-dimensional tridiagonal systems using the tridsolver library.

These pages provide detailed documentation on using OPS, including an installation guide, developing and running OPS applications, the OPS API, developer documentation and performance tuning.

Licencing

OPS is released as an open-source project under the BSD 3-Clause License. See the LICENSE file for more information.

Citing

To cite OPS, please reference the following paper:

I. Z. Reguly, G. R. Mudalige and M. B. Giles, Loop Tiling in Large-Scale Stencil Codes at Run-Time with OPS, in IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 4, pp. 873-886, 1 April 2018, doi: 10.1109/TPDS.2017.2778161.

@ARTICLE{Reguly_et_al_2018,
  author={Reguly, István Z. and Mudalige, Gihan R. and Giles, Michael B.},
  journal={IEEE Transactions on Parallel and Distributed Systems}, 
  title={Loop Tiling in Large-Scale Stencil Codes at Run-Time with OPS}, 
  year={2018},
  volume={29},
  number={4},
  pages={873-886},
  doi={10.1109/TPDS.2017.2778161}}

Full list of publications from the OPS project can be found in the Publications section.

Support

The preferred method of reporting bugs and issues with OPS is to submit an issue via the repository’s issue tracker. Users can also email the authors directly by contacting the OP-DSL team.

Funding

The development of OPS was in part supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/K038494/1 (“Future-proof massively-parallel execution of multi-block applications”), EP/J010553/1 (“Software for Emerging Architectures - ASEArch”), The UK Turbulence Consortium grant EP/T026170/1, The Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences, the Royal Society through their Industry Fellowship Scheme (INF/R1/180012), and the Thematic Research Cooperation Establishing Innovative Informatic and Info-communication Solutions Project, which has been supported by the European Union and co-financed by the European Social Fund under grant number EFOP-3.6.2-16-2017-00013. Research funding support was also provided by the UK AWE under grants CDK0660 (“The Production of Predictive Models for Future Computing Requirements”), CDK0724 (“AWE Technical Outreach Programme”), AWE grant for “High-level Abstractions for Performance, Portability and Continuity of Scientific Software on Future Computing Systems” and the Numerical Algorithms Group NAG.

Hardware resources for development and testing provided by the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725, the ARCHER and ARCHER2 UK National Supercomputing Service, University of Oxford Advanced Research Computing (ARC) facility and through hardware donations and access provided by NVIDIA and Intel.