Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2013Generating Efficient Quantum Chemistry Codes for Novel Architectures360citations
  • 2013Generating Efficient Quantum Chemistry Codes for Novel Architectures.citations
  • 2011Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs)150citations
  • 2011Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs).citations
  • 2009Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation.citations
  • 2009Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation401citations
  • 2008Quantum chemistry on graphical processing units. 1. Strategies for two-electron integral evaluation525citations
  • 2008Quantum Chemistry on Graphical Processing Units. 1. Strategies for Two-Electron Integral Evaluation.citations

Places of action

Chart of shared publication
Luehr, Nathan
4 / 7 shared
Titov, Alexey V.
2 / 2 shared
Martinez, Todd J.
4 / 8 shared
Martínez, Todd J.
2 / 3 shared
Chart of publication period
2013
2011
2009
2008

Co-Authors (by relevance)

  • Luehr, Nathan
  • Titov, Alexey V.
  • Martinez, Todd J.
  • Martínez, Todd J.
OrganizationsLocationPeople

article

Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs)

  • Luehr, Nathan
  • Ufimtsev, Ivan S.
  • Martinez, Todd J.
Abstract

It has recently been demonstrated that novel streaming architectures found in consumer video gaming hardware such as graphical processing units (GPUs) are well-suited to a broad range of computations including electronic structure theory (quantum chemistry). Although recent GPUs have developed robust support for double precision arithmetic, they continue to provide 2-8× more hardware units for single precision. In order to maximize performance on GPU architectures, we present a technique of dynamically selecting double or single precision evaluation for electron repulsion integrals (ERIs) in Hartree-Fock and density functional self-consistent field (SCF) calculations. We show that precision error can be effectively controlled by evaluating only the largest integrals in double precision. By dynamically scaling the precision cutoff over the course of the SCF procedure, we arrive at a scheme that minimizes the number of double precision integral evaluations for any desired accuracy. This dynamic precision scheme is shown to be effective for an array of molecules ranging in size from 20 to nearly 2000 atoms.

Topics
  • density
  • impedance spectroscopy
  • theory