61 citations · 103 across the 12 of their papers we have counts for
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cs.DC2018★ 61 cited
Characterizing Deep-Learning I/O Workloads in TensorFlow
Steven W. D. Chien, Stefano Markidis, Chaitanya Prasad Sishtla +4
The performance of Deep-Learning (DL) computing frameworks rely on the performance of data ingestion and checkpointing. In fact, during the training, a considerable high number of…
physics.comp-ph2018★ 18 cited
PolyPIC: the Polymorphic-Particle-in-Cell Method for Fluid-Kinetic Coupling
Stefano Markidis, Vyacheslav Olshevsky, Chaitanya Prasad Sishtla +3
Particle-in-Cell (PIC) methods are widely used computational tools for fluid and kinetic plasma modeling. While both the fluid and kinetic PIC approaches have been successfully use…