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Brian Austin

Researcher at Lawrence Berkeley National Laboratory

Publications -  26
Citations -  4793

Brian Austin is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Xeon Phi & Node (networking). The author has an hindex of 11, co-authored 25 publications receiving 4349 citations.

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Advances in methods and algorithms in a modern quantum chemistry program package

TL;DR: Specific developments discussed include fast methods for density functional theory calculations, linear scaling evaluation of energies, NMR chemical shifts and electric properties, fast auxiliary basis function methods for correlated energies and gradients, equation-of-motion coupled cluster methods for ground and excited states, geminal wavefunctions, embedding methods and techniques for exploring potential energy surfaces.
Proceedings ArticleDOI

Parallel index and query for large scale data analysis

TL;DR: FastQuery as discussed by the authors is a framework for processing large scientific datasets on modern supercomputing platforms, which is designed to reduce the search time from hours to tens of seconds by using state-of-the-art index and query technology.
Journal ArticleDOI

Unrestricted perfect pairing: the simplest wave-function-based model chemistry beyond mean field.

TL;DR: This minimal treatment of electron-electron correlation noticeably improves upon symmetry-breaking problems and other pathologies in Hartree-Fock (HF) theory and may be computed using the resolution of the identity approximation at only a factor of several times more effort than HF itself.
Proceedings ArticleDOI

GPCNeT: designing a benchmark suite for inducing and measuring contention in HPC networks

TL;DR: A new open-source benchmark suite called the Global Performance and Congestion Network Tests (GPCNeT) is proposed to advance the state of the practice in this area and shows that systems of all technologies and scales are susceptible to congestion.