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Jorge L. Galvez Vallejo

Researcher at Iowa State University

Publications -  9
Citations -  626

Jorge L. Galvez Vallejo is an academic researcher from Iowa State University. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 3, co-authored 6 publications receiving 212 citations.

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Recent developments in the general atomic and molecular electronic structure system.

TL;DR: A discussion of many of the recently implemented features of GAMESS (General Atomic and Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library associated with GAMESS) is presented, which include fragmentation methods, hybrid MPI/OpenMP approaches to Hartree-Fock, and resolution of the identity second order perturbation theory.
Journal ArticleDOI

Novel Computer Architectures and Quantum Chemistry.

TL;DR: A brief history of advances in both hardware and software, from the early days of IBM mainframes to the current emphasis on accelerators and modern programming practices is provided.
Proceedings ArticleDOI

Scaling the Hartree-Fock Matrix Build on Summit

TL;DR: In this paper, a new fragmentation-based Hartree-Fock matrix build algorithm designed for scaling on many-GPU architectures is presented, which uses a dynamic load balancing scheme based on a binned shell-pair container to distribute batches of significant shell quartets with the same code path to different GPUs.
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A New Kid on the Block: Application of Julia to Hartree-Fock Calculations.

TL;DR: Performance benchmarks against the popular quantum chemistry software package GAMESS indicate that JuliaChem displays performance that is competitive with that of GAMESS, showing that Julia could be a potentially useful tool for the field of electronic structure theory.
Proceedings ArticleDOI

Enabling large-scale correlated electronic structure calculations: scaling the RI-MP2 method on summit

TL;DR: In this paper, a many-GPU algorithm and implementation of a molecular-fragmentation-based RI-MP2 method are presented that enable correlated calculations on over 180,000 electrons and 45,000 atoms using up to the entire Summit supercomputer in 12 minutes.