High Performance Computing on the IBM Power8 Platform

  • István Z. RegulyEmail author
  • Abdoul-Kader Keita
  • Rafik Zurob
  • Michael B. Giles
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9945)


This paper discusses the performance of IBM’s Power8 CPUs, on a number of skeleton, financial and CFD benchmarks and applications. Implicitly, the performance of the software toolchain is also tested - the bare-bones Little-Endian Ubuntu, the GNU 5.3 and the XL 14.1.3 compilers and OpenMP runtimes. First, we aim to establish some roofline numbers on bandwidth and compute throughput, then move on to benchmark explicit and implicit one-/three-factor Black-Scholes computations, and CFD applications based on the OP2 and OPS frameworks, such as the Airfoil and BookLeaf unstructured-mesh codes, and the CloverLeaf 2D/3D structured mesh simulations. These applications all exhibit different characteristics in terms of computations, communications, memory access patterns, etc. Finally we briefly discuss performance of an industrial CFD code, Rolls-Royce Hydra, and we show initial results from IBM’s CUDA Fortran compiler. Both absolute and relative performance metrics are computed and compared to NVIDIA GPUs and Intel Xeon CPUs.


Double Precision Single Precision Memory Access Pattern POWER8 Platform Stencil Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The OP2 project has been funded by the UK Technology Strategy Board and Rolls-Royce plc. through the Siloet project, the UK Engineering and Physical Sciences Research Council projects

EP/I006079/1, EP/I00677X/1 on “Multi-layered Abstractions for PDEs”.

The OPS project is funded by the UK Engineering and Physical Sciences Research Council projects EP/K038494/1, EP/K038486/1, EP/K038451/1 and EP/K038567/1 on “Future-proof massively-parallel execution of multi-block applications” and EP/J010553/1 “Software for Emerging Architectures” (ASEArch) project. Cloverleaf development is supported by the Royal Society through their Industry Fellowship Scheme (IF090020/AM).

The authors would like to thank Chris Bowler, Carlo Bertolli, Wang Chen and Kelvin Li at IBM for their help in accessing expertise and software for the development of these experiments.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • István Z. Reguly
    • 1
    Email author
  • Abdoul-Kader Keita
    • 2
  • Rafik Zurob
    • 2
  • Michael B. Giles
    • 3
  1. 1.Faculty of Information Technology and BionicsPázmány Péter Catholic UniversityBudapestHungary
  2. 2.IBM Toronto LabTorontoCanada
  3. 3.Mathematics InstituteUniversity of OxfordOxfordUK

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