97 citations · 208 across the 25 of their papers we have counts for
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cs.DC2023
Advancing the distributed Multi-GPU ChASE library through algorithm optimization and NCCL library
Xinzhe Wu, Edoardo Di Napoli
As supercomputers become larger with powerful Graphics Processing Unit (GPU), traditional direct eigensolvers struggle to keep up with the hardware evolution and scale efficiently…
cs.CE2023
Computing formation enthalpies through an explainable machine learning method: the case of Lanthanide Orthophosphates solid solutions
Edoardo Di Napoli, Xinzhe Wu, Thomas Bornhake +1
In the last decade, the use of Machine and Deep Learning (MDL) methods in Condensed Matter physics has seen a steep increase in the number of problems tackled and methods employed.…