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  • Finkelstein, JoshuaTheoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United States (författare)

Quantum-Based Molecular Dynamics Simulations Using Tensor Cores

  • Artikel/kapitelEngelska2021

Förlag, utgivningsår, omfång ...

  • 2021-10-01
  • American Chemical Society (ACS),2021
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:uu-456153
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-456153URI
  • https://doi.org/10.1021/acs.jctc.1c00726DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Tensor cores, along with tensor processing units, represent a new form of hardware acceleration specifically designed for deep neural network calculations in artificial intelligence applications. Tensor cores provide extraordinary computational speed and energy efficiency but with the caveat that they were designed for tensor contractions (matrix-matrix multiplications) using only low-precision floating-point operations. Despite this perceived limitation, we demonstrate how tensor cores can be applied with high efficiency to the challenging and numerically sensitive problem of quantum-based Born-Oppenheimer molecular dynamics, which requires highly accurate electronic structure optimizations and conservative force evaluations. The interatomic forces are calculated on-the-fly from an electronic structure that is obtained from a generalized deep neural network, where the computational structure naturally takes advantage of the exceptional processing power of the tensor cores and allows for high performance in excess of 100 Tflops on a single Nvidia A100 GPU. Stable molecular dynamics trajectories are generated using the framework of extended Lagrangian Born-Oppenheimer molecular dynamics, which combines computational efficiency with long-term stability, even when using approximate charge relaxations and force evaluations that are limited in accuracy by the numerically noisy conditions caused by the low-precision tensor core floating-point operations. A canonical ensemble simulation scheme is also presented, where the additional numerical noise in the calculated forces is absorbed into a Langevin-like dynamics.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Smith, Justin S.Theoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United States (författare)
  • Mniszewski, Susan M.Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United States (författare)
  • Barros, KiptonTheoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United States (författare)
  • Negre, Christian F. A.Theoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United States (författare)
  • Rubensson, Emanuel H.Uppsala universitet,Tillämpad beräkningsvetenskap,Avdelningen för beräkningsvetenskap,Numerisk analys(Swepub:uu)emaru152 (författare)
  • Niklasson, Anders M. N.Theoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United States (författare)
  • Theoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United StatesComputer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, United States (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Journal of Chemical Theory and Computation: American Chemical Society (ACS)17:10, s. 6180-61921549-96181549-9626

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