Evidence map›Paper›PMID 29202130›Full record

ArticleHigh performance computing : 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings. ISC High Performance (Conference) (31st : 2016 : Frankfurt, Germany)2016

Early Experiences Porting the NAMD and VMD Molecular Simulation and Analysis Software to GPU-Accelerated OpenPOWER Platforms.

John E Stone, Antti-Pekka Hynninen, James C Phillips, Klaus Schulten

Abstract read
In one paragraph

Article in High performance computing : 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings. ISC High Performance (Conference) (31st : 2016 : Frankfurt, Germany), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Open veterinary journal · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Application Experiences on a GPU-Accelerated Arm-based HPC Testbed.The proceedings of International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2023 Workshops) : 27 February to 2 March 2023, Singapore. International Conference/Exhibition on High-Performance Computing in th... · 2023
    Article
  8. #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.The international journal of high performance computing applications · 2023
    Article
  9. Review
  10. Article
  11. Accelerators for Classical Molecular Dynamics Simulations of Biomolecules.Journal of chemical theory and computation · 2022
    Review
  12. Accelerating AutoDock Vina with GPUs.Molecules (Basel, Switzerland) · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics.The international journal of high performance computing applications · 2021
    Article
  17. Accelerating AutoDock4 with GPUs and Gradient-Based Local Search.Journal of chemical theory and computation · 2021
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

John E StoneBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.
Antti-Pekka HynninenOak Ridge Leadership Computing Facility, Oak Ridge National Laboratory.
James C PhillipsBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.
Klaus SchultenBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.

Funding

WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
Commodity Hardware Acceleration of Popular Modeling Software for Structural BioloR01GM098243 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SCHULTEN, KLAUS · 2011 to 2014
$1.2M
NIGMS NIH HHS P41 GM104601NIGMS NIH HHS R01 GM098243
6 · The paper itself

Abstract

All-atom molecular dynamics simulations of biomolecules provide a powerful tool for exploring the structure and dynamics of large protein complexes within realistic cellular environments. Unfortunately, such simulations are extremely demanding in terms of their computational requirements, and they present many challenges in terms of preparation, simulation methodology, and analysis and visualization of results. We describe our early experiences porting the popular molecular dynamics simulation program NAMD and the simulation preparation, analysis, and visualization tool VMD to GPU-accelerated OpenPOWER hardware platforms. We report our experiences with compiler-provided autovectorization and compare with hand-coded vector intrinsics for the POWER8 CPU. We explore the performance benefits obtained from unique POWER8 architectural features such as 8-way SMT and its value for particular molecular modeling tasks. Finally, we evaluate the performance of several GPU-accelerated molecular modeling kernels and relate them to other hardware platforms.

Identifiers

PMID29202130
PMCPMC5710845

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.