SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Beauchamp Kyle) "

Sökning: WFRF:(Beauchamp Kyle)

  • Resultat 1-3 av 3
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  •  
2.
  • Grüning, Björn, et al. (författare)
  • Bioconda: A sustainable and comprehensive software distribution for the life sciences
  • 2017
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • We present Bioconda (https://bioconda.github.io), a distribution of bioinformatics software for the lightweight, multi-platform and language-agnostic package manager Conda. Currently, Bioconda offers a collection of over 3000 software packages, which is continuously maintained, updated, and extended by a growing global community of more than 200 contributors. Bioconda improves analysis reproducibility by allowing users to define isolated environments with defined software versions, all of which are easily installed and managed without administrative privileges.
  •  
3.
  • Pronk, Sander, 1974-, et al. (författare)
  • Copernicus : A new paradigm for parallel adaptive molecular dynamics
  • 2011
  • Ingår i: Proceedings of 2011 SC - International Conference for High Performance Computing, Networking, Storage and Analysis. - New York, NY, USA : ACM. - 9781450307710 ; , s. 60-
  • Konferensbidrag (refereegranskat)abstract
    • Biomolecular simulation is a core application on supercomputers, but it is exceptionally difficult to achieve the strong scaling necessary to reach biologically relevant timescales. Here, we present a new paradigm for parallel adaptive molecular dynamics and a publicly available implementation: Copernicus. This framework combines performance-leading molecular dynamics parallelized on three levels (SIMD, threads, and message-passing) with kinetic clustering, statistical model building and real-time result monitoring. Copernicus enables execution as single parallel jobs with automatic resource allocation. Even for a small protein such as villin (9,864 atoms), Copernicus exhibits near-linear strong scaling from 1 to 5,376 AMD cores. Starting from extended chains we observe structures 0.6 Å from the native state within 30h, and achieve sufficient sampling to predict the native state without a priori knowledge after 80-90h. To match Copernicus'efficiency, a classical simulation would have to exceed 50 microseconds per day, currently infeasible even with custom hardware designed for simulations.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-3 av 3

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy