2016 · 10 citations · 17 references
EngineeringQuantum AlgorithmsComputational ChemistryQuantum Material SimulationScalable Linear-algebraic AlgorithmShifted Linear EquationsQuantum ComputingQuantum Optimization AlgorithmQuantum SimulationUnconventional ComputingParallel ComputingQuantum ScienceElectrical EngineeringPhysicsComputational ApproachesQuantum AlgorithmComputer EngineeringAtomic PhysicsMicroelectronicsComputational PhysicsFull SystemNatural SciencesApplied PhysicsScalable AlgorithmK Computer
An extremely scalable linear-algebraic algorithm was developed for quantum material simulation (electronic state calculation) with 108 atoms or 100-nm-scale materials. The mathematical foundation is generalized shifted linear equations ((zB - A)x = b), instead of conventional generalized eigenvalue equations. The method has a highly parallelizable mathematical structure. The benchmark shows an extreme strong scaling and a qualified time-to-solution on the full system of the K computer. The method was demonstrated in a real material research for ultra-flexible (organic) devices, key devices of next-generation Internet-of-Things (IoT) products. The present paper shows that an innovative scalable algorithm for a real research can appear by the co-design among application, algorithm and architecture.
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The SIESTA method for<i>ab initio</i>order-<i>N</i>materials simulation
José M. Soler, Emilio Artacho, Julian D. Gale et al. · Journal of Physics Condensed Matter · 2002 · 11.7K citations · Full text
Ultraflexible organic photonic skin
Tomoyuki Yokota, Peter Zalar, Martin Kaltenbrunner et al. · Science Advances · 2016 · 984 citations · Full text