• DocumentCode
    228735
  • Title

    Efficient Implementation of Many-Body Quantum Chemical Methods on the Intel® Xeon Phi Coprocessor

  • Author

    Apra, Edoardo ; Klemm, Michael ; Kowalski, Karol

  • fYear
    2014
  • fDate
    16-21 Nov. 2014
  • Firstpage
    674
  • Lastpage
    684
  • Abstract
    This paper presents the implementation and performance of the highly accurate CCSD(T) quantum chemistry method on the Intel® Xeon Phi coprocessor within the context of the NWChem computational chemistry package. The widespread use of highly correlated methods in electronic structure calculations is contingent upon the interplay between advances in theory and the possibility of utilizing the ever-growing computer power of emerging heterogeneous architectures. We discuss the design decisions of our implementation as well as the optimizations applied to the compute kernels and data transfers between host and coprocessor. We show the feasibility of adopting the Intel® Many Integrated Core Architecture and the Intel Xeon Phi coprocessor for developing efficient computational chemistry modeling tools. Remarkable scalability is demonstrated by benchmarks. Our solution scales up to a total of 62560 cores with the concurrent utilization of Intel® Xeon® processors and Intel Xeon Phi coprocessors.
  • Keywords
    chemistry computing; coprocessors; electronic structure; quantum chemistry; CCSD(T) quantum chemistry; Intel Xeon phi coprocessor; NWChem computational chemistry package; electronic structure calculation; many integrated core architecture; many-body quantum chemical method; Computational modeling; Computer architecture; Coprocessors; Graphics processing units; Tensile stress; Vectors; Chemistry; distributed architectures; parallel algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, Networking, Storage and Analysis, SC14: International Conference for
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    978-1-4799-5499-5
  • Type

    conf

  • DOI
    10.1109/SC.2014.60
  • Filename
    7013042