Titlebook: Laser Interactions with Atoms, Solids and Plasmas; Richard M. More Book 1994 Springer Science+Business Media New York 1994 Coulomb.condens

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书目名称Laser Interactions with Atoms, Solids and Plasmas影响因子(影响力)




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书目名称Laser Interactions with Atoms, Solids and Plasmas被引频次




书目名称Laser Interactions with Atoms, Solids and Plasmas被引频次学科排名




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书目名称Laser Interactions with Atoms, Solids and Plasmas年度引用学科排名




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裹住

André Mysyrowiczields and the considerable computational cost of this operation have motivated several efforts to accelerate it on different hardware platforms and, in particular, on those equipped with massively-parallel processors. Until recently, the dominant approach to parallelize this operation on this sort o

Nomogram

P. Agostini,E. Mevelovide computational resources to costumers geographically distributed following an elastic payment strategy. Fog/Edge Computing aims to decrease bandwidth usage keeping the computation near the source of data and avoiding the collapse of network infrastructure when moving all the data from the edge

极力证明

Accrue

K. J. Schafer,J. L. Krause,K. C. Kulanderdata. Iteratively, each user trains a “local” model in a specific machine consuming private data and then sends the model updates to a server for their fusion into a centralized one. Although FL represents a step forward, the training duration in each iteration directly depends on the several config

Canyon

GOAT

Dorota Kupiszewska(generalized quantum bits), by executing quantum circuits, which are fundamentally based on tensor products and Kronecker operations. However, these integral functions within the simulator are currently not optimized. The proposed acceleration method involves a combination of hardware and software e

BILIO

Richard M. More(generalized quantum bits), by executing quantum circuits, which are fundamentally based on tensor products and Kronecker operations. However, these integral functions within the simulator are currently not optimized. The proposed acceleration method involves a combination of hardware and software e

Glossy

champaign

Alain Aspectand challenges of computational seismology: large ensemble runs of geometrically similar forward simulations. Application fields include, but are not limited to: uncertainty quantification in the context of seismic hazard analysis or the accurate derivation of velocity models through tomographic inv