15 citations · 49 across the 11 of their papers we have counts for
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cs.DC2018
Performance tuning for deep learning on a many-core processor (master thesis)
Philippos Papaphilippou
Convolutional neural networks (CNNs) are becoming very successful and popular for a variety of applications. The Loki many-core processor architecture is very promising for achievi…
cond-mat.str-el2018★ 14 cited
Accelerating Hybrid Monte Carlo simulations of the Hubbard model on the hexagonal lattice
Stefan Krieg, Thomas Luu, Johann Ostmeyer +2
We present different methods to increase the performance of Hybrid Monte Carlo simulations of the Hubbard model in two-dimensions. Our simulations concentrate on a hexagonal lattic…