Review of: "Optimizing Multi-GPU Training with Data Parallelism and Batch Size Selection" [PDF]
Yuanlun Xie
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Wildlife Biology, EarlyView.After decades of dramatic reductions in their populations, Italian wolves have begun recolonizing parts of their historic range. This growth in populations can lead to potential conflicts with human activities, which remain the main cause of wolf mortality.
Ilaria Troisio +8 more
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Single-shot matrix-matrix photonic processor based on spatial-spectral hypermultiplexed parallel diffraction. [PDF]
Nat CommunLuan C +4 more
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, 1994 Data parallelism is a model of parallel computing in which the same set of instructions is applied to all the elements in a data set. A sampling of data parallel algorithms is presented. The examples are certainly not exhaustive, but address many issues involved in designing data parallel algorithms.
Siege1, Howard Jay +3 more
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Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training
, 2019 Jiali Li +3 more
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Zoo Biology, EarlyView.Female budgerigars (Melopsittacus undulatus) did not significantly elevate their plasma corticosterone levels in response to human presence at the beginning of the experiment. However, plasma corticosterone was significantly elevated by restraint stress, the return of a neighbor that received restraint stress, and human presence at the end of the ...
Dustin G. Reichard, Kelly V. Summers
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Major Reference Works, Page 290-301., 2021 International Tables for Crystallography is the definitive resource and reference work for crystallography and structural science.
Each of the eight volumes in the series contains articles and tables of data relevant to crystallographic research and to applications of crystallographic methods in all sciences concerned with the ...
John P. Sutter C. Chantler +2 more
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A method for quantifying parallel growth between neuronal dendritic branches in vitro. [PDF]
PLoS OneDahari I +4 more
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Accelerated evolution in networked metapopulations of Pseudomonas aeruginosa. [PDF]
ElifeChakraborty PP, Kassen R.
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A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
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