English

Energy-efficiency evaluation of Intel KNL for HPC workloads

Distributed, Parallel, and Cluster Computing 2018-04-06 v1

Abstract

Energy consumption is increasingly becoming a limiting factor to the design of faster large-scale parallel systems, and development of energy-efficient and energy-aware applications is today a relevant issue for HPC code-developer communities. In this work we focus on energy performance of the Knights Landing (KNL) Xeon Phi, the latest many-core architecture processor introduced by Intel into the HPC market. We take into account the 64-core Xeon Phi 7230, and analyze its energy performance using both the on-chip MCDRAM and the regular DDR4 system memory as main storage for the application data-domain. As a benchmark application we use a Lattice Boltzmann code heavily optimized for this architecture and implemented using different memory data layouts to store its lattice. We assessthen the energy consumption using different memory data-layouts, kind of memory (DDR4 or MCDRAM) and number of threads per core.

Keywords

Cite

@article{arxiv.1804.01911,
  title  = {Energy-efficiency evaluation of Intel KNL for HPC workloads},
  author = {E. Calore and A. Gabbana and S. F. Schifano and R. Tripiccione},
  journal= {arXiv preprint arXiv:1804.01911},
  year   = {2018}
}
R2 v1 2026-06-23T01:15:07.394Z