6 citations · 10 across the 2 of their papers we have counts for
6 papers
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas +3
Dense linear algebra kernels, such as linear solvers or tensor contractions, are fundamental components of many scientific computing applications. In this work, we present a novel…
High-Performance Routing with Multipathing and Path Diversity in Ethernet and HPC Networks
Maciej Besta, Jens Domke, Marcel Schneider +5
The recent line of research into topology design focuses on lowering network diameter. Many low-diameter topologies such as Slim Fly or Jellyfish that substantially reduce cost, po…
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…
Network-Accelerated Non-Contiguous Memory Transfers
Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth +7
Applications often communicate data that is non-contiguous in the send- or the receive-buffer, e.g., when exchanging a column of a matrix stored in row-major order. While non-conti…
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…