6 citations · 33 across the 24 of their papers we have counts for
4 papers · 1 filter
A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations
Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández +3
The computational efficiency of a state of the art ab initio quantum transport (QT) solver, capable of revealing the coupled electro-thermal properties of atomically-resolved nano-…
Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández +3
Designing efficient cooling systems for integrated circuits (ICs) relies on a deep understanding of the electro-thermal properties of transistors. To shed light on this issue in cu…
Stateful Dataflow Multigraphs: A Data-Centric Model for Performance Portability on Heterogeneous Architectures
Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas +2
The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the skill-set of the average domain scientist. To maintain performance portabili…
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning
Tal Ben-Nun, Maciej Besta, Simon Huber +3
We introduce Deep500: the first customizable benchmarking infrastructure that enables fair comparison of the plethora of deep learning frameworks, algorithms, libraries, and techni…