High‐performance SIMD implementation of the lattice‐Boltzmann method on the Xeon Phi processor

Author:

Robertsén Fredrik12ORCID,Mattila Keijo34,Westerholm Jan2

Affiliation:

1. CSC ‐ IT center for science Espoo Finland

2. Faculty of Science and EngineeringÅbo Akademi University Åbo Finland

3. Faculty of Information TechnologyUniversity of Jyväskylä Jyväskylä Finland

4. Department of PhysicsTampere University of Technology Tampere Finland

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference47 articles.

1. MaltsevA WürstenF.Piz Daint is a world leader.2017.https://www.ethz.ch/en/news-and-events/eth-news/news/2017/06/piz-daint-is-a-world-leader.html. Accessed September 9 2017.

2. Lal ShimpiA.Inside the Titan supercomputer: 299k AMD x86 cores and 18.6k NVIDIA GPUs.2012.https://www.anandtech.com/show/6421/inside-the-titan-supercomputer-299k-amd-x86-cores-and-186k-nvidia-gpu-cores. Accessed September 9 2017.

3. NVIDIA.NVIDIA CUDA compute unified device architecture programming guide.2017.

4. Intel.Intel delivers new architecture for discovery with Intel Xeon Phi coprocessors.https://newsroom.intel.com/news-releases/intel-delivers-new-architecture-for-discovery-with-intel-xeon-phi-coprocessors/. Accessed September 9 2017.

5. ChrysosG.Intel Xeon Phi X100 family coprocessor ‐ the architecture.2012.

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4. Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal;Communications in Computer and Information Science;2021

5. A survey on evaluating and optimizing performance of Intel Xeon Phi;Concurrency and Computation: Practice and Experience;2020-03-25

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