Research & Development World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • Educational Assets
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE

High Performance Computing helps Shed Light on First Moments of Photosynthesis

By R&D Editors | August 27, 2015

The Light Harvesting Complex II (LHC-II) molecule, which carries out photosynthesis in plants, and an incident beam of lightUsing quantum mechanics as the basis, University of the Basque Country (UPV/EHU) computer scientists, physicists and chemists are working together to produce simulations of the molecule in which photosynthesis occurs. They have executed an OCTOPUS software package in the fastest supercomputers in Europe and, after incorporating various improvements, they have carried out the biggest simulations made in this field by efficiently using thousands of processors.

Computing — the creation of supercomputers, above all — enables scientists and engineers to analyze highly complex physical processes using simulation techniques. In this case, researchers in the UPV/EHU’s Department of Computer Architecture and Technology and the Department of Materials Physics are collaborating with researchers from various universities (including the Universidade de Coimbra, Universitat de Barcelona, Lawrence Livermore National Laboratory, Martin-Luther-Universität Halle-Wittenberg, University of Liege) to analyze the photosynthesis process basing themselves on various theories, because the way in which plants absorb light remains a mystery.

The molecule that carries out photosynthesis in plants is the LHC-II (Light Harvesting Complex II), comprising over 17,000 atoms. Scientists do not know how this molecule acts when it receives photons of light. Complex computers and advanced programs are needed to be able to simulate molecules as big as this one. Joseba Alberdi, a UPV/EHU computer engineer, has written up his thesis in this field, thanks to the collaboration of the ALDAPA group of the Department of Computer Architecture and Technology of the Computing Faculty, and the Nano-Bio Spectroscopy group of the Faculty of Chemistry.

The aim: to achieve high performance

The OCTOPUS software package used to make the calculations is underpinned by two theories, which are the result of the reformulation of quantum mechanics and which are based on electronic density. With these two theories, it has been possible to solve quantum mechanics problems using the computer; since “otherwise what you get are equations that are so complex that they are impossible to solve even with the most powerful supercomputers,” explained Alberdi. “Unfortunately, very long execution times are needed to simulate systems in their actual size, and the only alternative is to use supercomputers,” he added.

In this wor,k he has been able to use some of the world’s fastest computers: the German Juqueen (with 458,752 processing cores), the Italian Fermi (with 163,840 cores), the German Hydra (65,320 cores) and the Catalan MareNostrum III (48,896 cores), among others.

The aim of Alberdi’s thesis was to optimize the OCTOPUS code and to achieve high performance to be able to obtain the right acceleration factors in the calculations made in supercomputers. In fact, to be able to execute this code across multiple processors, it was necessary to sort out various problems affecting memory and performance. Fully executing the LHC-II molecule still poses a big challenge, but they have managed to simulate significant parts of the molecule.

“We have simulated systems comprising 5,759, 4,050 and 6,075 atoms; according to the data we have available, they are the biggest simulations carried out so far,” said the researcher. In these simulations, they have been able to prove that the theory coincides with the reality. “These simulations will enable us to understand, for the first time, the reactions that occur during the first femtoseconds (10-15 s) of photosynthesis,” he explained. At the same time, the improvements incorporated into the application make it possible to simulate many other systems of this size. As it also involves free software, all physicists can avail themselves of it.

Additional information

Joseba Alberdi (Zumarraga, Basque Country, 1986) is a computer engineer and has a Master’s in Advanced Computing Systems. He wrote up his thesis entitled High-performance computing for electron dynamics in complex systems, in the ALDAPA group of the Department of Computer Architecture and Technology (Faculty of Computing) and in the Nano-Bio Spectroscopy group in the Department of Materials Physics (Faculty of Chemistry); his thesis supervisors were Javier Muguerza and Angel Rubio.

The calculations of the most important parts of the project were made using the supercomputer of the Nano-Bio Spectroscopy group and the MareNostrum III supercomputer in Barcelona.

References

  • J. Jornet-Somoza, J. Alberdi-Rodriguez, B.F. Milne, X. Andrade, M.A.L. Marques, F. Nogueira, M.J.T. Oliveira, James J. P. Stewart and A. Rubio. “Insights into colour-tuning of chlorophyll optical response in green plants,” Physical Chemistry Chemical Physics, July 2015.
  • X. Andrade, D. Strubbe, U. Giovannini, A.H. Larsen, M.J.T. Oliveira, J. Alberdi-Rodriguez, A. Varas, I. Theophilou, N. Helbig, M. Verstraete, L. Stella, F. Nogueira, A. Aspuru-Guzik, A. Castro, M.A.L. Marques, A. Rubio. “Real-space grids and the Octopus code as tools for the development of new simulation approaches for electronic systems,” Physical Chemistry Chemical Physics, February 2015.
  • J. Alberdi-Rodriguez, M.J.T. Oliveira, P. García-Risueño, F. Nogueira, J. Muguerza, A. Arruabarrena, A. Rubio. “Computational Science and Its Applications–ICCSA 2014.” Lecture Notes in Computer Science Volume 8582, pages 607-622, 2 July 2014.
     

Related Articles Read More >

Why IBM predicts quantum advantage within two years
Aardvark AI forecasts rival supercomputer simulations while using over 99.9% less compute
This week in AI research: Latest Insilico Medicine drug enters the clinic, a $0.55/M token model R1 rivals OpenAI’s $60 flagship, and more
How the startup ALAFIA Supercomputers is deploying on-prem AI for medical research and clinical care
rd newsletter
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, trends, and strategies in Research & Development.
RD 25 Power Index

R&D World Digital Issues

Fall 2024 issue

Browse the most current issue of R&D World and back issues in an easy to use high quality format. Clip, share and download with the leading R&D magazine today.

Research & Development World
  • Subscribe to R&D World Magazine
  • Enews Sign Up
  • Contact Us
  • About Us
  • Drug Discovery & Development
  • Pharmaceutical Processing
  • Global Funding Forecast

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search R&D World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • Educational Assets
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE