A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. - Tal Ben-Nun; Maciej Besta; Simon Huber; Alexandros Nikolaos Ziogas; Daniel Peter; Torsten Hoefler (IPDPS, 2019)

Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures. - Tal Ben-Nun; Johannes de Fine Licht; Alexandros Nikolaos Ziogas; Timo Schneider; Torsten Hoefler (SC, 2019)

A data-centric approach to extreme-scale ab initio dissipative quantum transport simulations. - Alexandros Nikolaos Ziogas; Tal Ben-Nun; Guillermo Indalecio Fernández; Timo Schneider; Mathieu Luisier; Torsten Hoefler (SC, 2019)

Optimizing the data movement in quantum transport simulations via data-centric parallel programming. - Alexandros Nikolaos Ziogas; Tal Ben-Nun; Guillermo Indalecio Fernández; Timo Schneider; Mathieu Luisier; Torsten Hoefler (SC, 2019)

Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs. - Tal Ben-Nun; Johannes de Fine Licht; Alexandros Nikolaos Ziogas; Timo Schneider; Torsten Hoefler (CoRR, 2019)

A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations. - Alexandros Nikolaos Ziogas; Tal Ben-Nun; Guillermo Indalecio Fernández; Timo Schneider; Mathieu Luisier; Torsten Hoefler (CoRR, 2019)

NPBench: a benchmarking suite for high-performance NumPy. - Alexandros Nikolaos Ziogas; Tal Ben-Nun; Timo Schneider; Torsten Hoefler (ICS, 2021)

On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization. - Grzegorz Kwasniewski; Tal Ben-Nun; Alexandros Nikolaos Ziogas; Timo Schneider; Maciej Besta; Torsten Hoefler (PPoPP, 2021)

On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizations. - Grzegorz Kwasniewski; Marko Kabic; Tal Ben-Nun; Alexandros Nikolaos Ziogas; Jens Eirik Saethre; André Gaillard; Timo Schneider; Maciej Besta; Anton Kozhevnikov; Joost VandeVondele; Torsten Hoefler (SC, 2021)

Productivity, portability, performance: data-centric Python. - Alexandros Nikolaos Ziogas; Timo Schneider; Tal Ben-Nun; Alexandru Calotoiu; Tiziano De Matteis; Johannes de Fine Licht; Luca Lavarini; Torsten Hoefler (SC, 2021)

Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. - Grzegorz Kwasniewski; Tal Ben-Nun; Lukas Gianinazzi; Alexandru Calotoiu; Timo Schneider; Alexandros Nikolaos Ziogas; Maciej Besta; Torsten Hoefler (SPAA, 2021)

Fast Arbitrary Precision Floating Point on FPGA. - Johannes de Fine Licht; Christopher A. Pattison; Alexandros Nikolaos Ziogas; David Simmons-Duffin; Torsten Hoefler (FCCM, 2022)

Deinsum: Practically I/O Optimal Multi-Linear Algebra. - Alexandros Nikolaos Ziogas; Grzegorz Kwasniewski; Tal Ben-Nun; Timo Schneider; Torsten Hoefler (SC, 2022)

Deinsum: Practically I/O Optimal Multilinear Algebra. - Alexandros Nikolaos Ziogas; Grzegorz Kwasniewski; Tal Ben-Nun; Timo Schneider; Torsten Hoefler (CoRR, 2022)

A Data-Centric Optimization Workflow for the Python Language. - Alexandros Nikolaos Ziogas (2022)

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. - Maciej Besta; Pawel Renc; Robert Gerstenberger; Paolo Sylos Labini; Alexandros Nikolaos Ziogas; Tiancheng Chen; Lukas Gianinazzi; Florian Scheidl; Kalman Szenes; Armon Carigiet; Patrick Iff; Grzegorz Kwasniewski; et al. (SC, 2023)

FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs. - Philipp Schaad; Timo Schneider; Tal Ben-Nun; Alexandru Calotoiu; Alexandros Nikolaos Ziogas; Torsten Hoefler (SC, 2023)

Arrow Matrix Decompositions. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Piotr Luczynski; Saleh Ashkboosh; Langwen Huang; Florian Scheidl; Chio Ge; Armon Carigiet; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (Zenodo, 2023)

GNN Scaling 0.1 Software Artifact. - Maciej Besta; Pawel Renc; Robert Gerstenberger; Paolo Sylos Labini; Alexandros Nikolaos Ziogas; Tiancheng Chen; Lukas Gianinazzi; Florian Scheidl; Kalman Szenes; Armon Carigiet; Patrick Iff; Grzegorz Kwasniewski; et al. (Zenodo, 2023)

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Langwen Huang; Piotr Luczynski; Saleh Ashkboosh; Florian Scheidl; Armon Carigiet; Chio Ge; Nabil Abubaker; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (PPoPP, 2024)

Towards Exascale Simulations of Nanoelectronic Devices in the GW Approximation. - Leonard Deuschle; Alexander Maeder; Vincent Maillou; Nicolas Vetsch; Anders Winka; Jiang Cao; Alexandros Nikolaos Ziogas; Mathieu Luisier (SC, 2024)

Accelerated Atomistic Kinetic Monte Carlo Simulations of Resistive Memory Arrays. - Manasa Kaniselvan; Alexander Maeder; Marko Mladenovic; Mathieu Luisier; Alexandros Nikolaos Ziogas (SC, 2024)

Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks. - Christoph Weilenmann; Alexandros Nikolaos Ziogas; Till Zellweger; Kevin Portner; Marko Mladenovic; Manasa Kaniselvan; Timoleon Moraitis; Mathieu Luisier; Alexandros Emboras (CoRR, 2024)

Serinv: A Scalable Library for the Selected Inversion of Block-Tridiagonal with Arrowhead Matrices. - Vincent Maillou; Lisa Gaedke-Merzhäuser; Alexandros Nikolaos Ziogas; Olaf Schenk; Mathieu Luisier (CoRR, 2025)

Comparing Parallel Functional Array Languages: Programming and Performance. - David P. van Balen; Tiziano De Matteis; Clemens Grelck; Troels Henriksen; Aaron W. Hsu; Gabriele K. Keller; Thomas Koopman; Trevor L. McDonell; Cosmin E. Oancea; Sven-Bodo Scholz; Artjoms Sinkarovs; Tom Smeding; et al. (CoRR, 2025)

Productivity, Portability, Performance, and Reproducibility: Data-Centric Python. - Alexandros Nikolaos Ziogas; Timo Schneider; Tal Ben-Nun; Alexandru Calotoiu; Tiziano De Matteis; Johannes de Fine Licht; Luca Lavarini; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2025)

Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction. - Manasa Kaniselvan; Alexander Maeder; Chen Hao Xia; Alexandros Nikolaos Ziogas; Mathieu Luisier (CoRR, 2025)

Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. - Lisa Gaedke-Merzhäuser; Vincent Maillou; Fernando Rodriguez Avellaneda; Olaf Schenk; Mathieu Luisier; Paula Moraga; Alexandros Nikolaos Ziogas; Håvard Rue (CoRR, 2025)