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Ricky A. Kendall

Researcher at Oak Ridge National Laboratory

Publications -  15
Citations -  997

Ricky A. Kendall is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Shared memory & Distributed algorithm. The author has an hindex of 9, co-authored 15 publications receiving 614 citations. Previous affiliations of Ricky A. Kendall include Iowa State University.

Papers
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Journal ArticleDOI

NWChem: Past, present, and future

Edoardo Aprà, +113 more
TL;DR: The NWChem computational chemistry suite is reviewed, including its history, design principles, parallel tools, current capabilities, outreach, and outlook.
Journal ArticleDOI

NWChem: Past, Present, and Future

Edoardo Aprà, +113 more
TL;DR: The NWChem computational chemistry suite as discussed by the authors provides tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties by using first-principledriven methodologies to model complex chemical and materials processes.
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A Novel Approach to Parallel Coupled Cluster Calculations: Combining Distributed and Shared Memory Techniques for Modern Cluster Based Systems

TL;DR: A parallel coupled cluster algorithm that combines distributed and shared memory techniques for the CCSD(T) method (singles + doubles with perturbative triples) is described, targeted at modern cluster based architectures that are comprised of multiprocessor nodes connected by a dedicated communication network.
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Coupled cluster algorithms for networks of shared memory parallel processors

TL;DR: A dual-layer distributed algorithm, using both shared-memory and distributed-memory techniques to parallelize a very important algorithm used in computational chemistry, the single and double excitation coupled cluster method with perturbative triples, i.e. CCSD(T).
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The Parallel Implementation of a Full Configuration Interaction Program

TL;DR: The implementation of the FCI algorithm is organized in a hybrid strings-integral driven approach, and the network performance is further optimized by an improved distributed data interface library.