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Fast and Accurate GPU-Accelerated Computation of Two-Electron Four-Center Coulomb Repulsion Integrals
Avleen Kaur1, William Chen1, Gautam Kirshan Luhana1
1Department of Computer Science, The University of British Columbia, Vancouver, Canada.
We developed GPU software to quickly compute electron repulsion integrals for quantum chemistry. This accelerates molecular property predictions using Slater-type orbitals (STOs) and numerical methods.
Area of Science:
- Computational chemistry
- Quantum mechanics
- Molecular modeling
Background:
- Accurate electron repulsion integrals are crucial for ab initio quantum chemistry.
- Evaluating these integrals is computationally intensive and time-consuming.
- Slater-type orbitals (STOs) are commonly used basis functions.
Purpose of the Study:
- To develop efficient GPU software for computing two-electron, four-center Coulomb repulsion integrals.
- To accelerate quantum chemistry calculations using Slater-type orbitals.
- To improve the accuracy and speed of molecular property predictions.
Main Methods:
- Developed GPU-accelerated software using CUDA.
- Applied a transformation to eliminate Coulomb singularity.
- Utilized numerical quadrature techniques for integral evaluation.
- Implemented high-performance computational strategies.
Main Results:
- Achieved a runtime of approximately 0.06 seconds per integral for double-precision computations.
- Demonstrated high accuracy and significant speedup compared to traditional methods.
- Successfully applied the code to various computational chemistry examples.
Conclusions:
- The developed GPU software provides a rapid and accurate method for computing electron repulsion integrals.
- This advancement can significantly accelerate ab initio quantum chemistry calculations.
- The software enables more efficient molecular property predictions.
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