Alexandros Nikolaos Ziogas

42 papers A* 1A 14B 3C 1Misc 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Acceleration of Atomistic NEGF: Algorithms, Parallelization, and Machine Learning. CoRR Mathieu Luisier, Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Leonard Deuschle, Chen Hao Xia, Manasa Kaniselvan, Marko Mladenovic, Jiang Cao, Alexandros Nikolaos Ziogas
2026	J	`jnl`	Parallel Quadratic Selected Inversion in Quantum Transport Simulation. CoRR Vincent Maillou, Matthias Bollhöfer, Olaf Schenk, Alexandros Nikolaos Ziogas, Mathieu Luisier
2025	A	`conf`	Ab-initio Quantum Transport with the GW Approximation, 42, 240 Atoms, and Sustained Exascale Performance. SC Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Jiang Cao, Grzegorz Kwasniewski, Leonard Deuschle, Torsten Hoefler, Alexandros Nikolaos Ziogas, Mathieu Luisier
2025	J	`jnl`	Ab-initio Quantum Transport with the GW Approximation, 42,240 Atoms, and Sustained Exascale Performance. CoRR Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Jiang Cao, Grzegorz Kwasniewski, Leonard Deuschle, Torsten Hoefler, Alexandros Nikolaos Ziogas, Mathieu Luisier
2025	A	`conf`	Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. SC Lisa Gaedke-Merzhäuser, Vincent Maillou, Fernando Rodriguez Avellaneda, Olaf Schenk, Paula Moraga, Mathieu Luisier, Alexandros Nikolaos Ziogas, Håvard Rue
2025	J	`jnl`	Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. CoRR Lisa Gaedke-Merzhäuser, Vincent Maillou, Fernando Rodriguez Avellaneda, Olaf Schenk, Mathieu Luisier, Paula Moraga, Alexandros Nikolaos Ziogas, Håvard Rue
2025	J	`jnl`	Comparing Parallel Functional Array Languages: Programming and Performance. CoRR 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, Phil Trinder, Ivo Gabe de Wolff, Alexandros Nikolaos Ziogas
2025	J	`jnl`	Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction. CoRR Manasa Kaniselvan, Alexander Maeder, Chen Hao Xia, Alexandros Nikolaos Ziogas, Mathieu Luisier
2025	A*	`conf`	Learning the Electronic Hamiltonian of Large Atomic Structures. ICML Chen Hao Xia, Manasa Kaniselvan, Alexandros Nikolaos Ziogas, Marko Mladenovic, Rayen Mahjoub, Alexander Maeder, Mathieu Luisier
2025	C	`conf`	Parallel Selected Inversion of Block-Tridiagonal with Arrowhead Matrices. CLUSTER Vincent Maillou, Lisa Gaedke-Merzhäuser, Alexandros Nikolaos Ziogas, Olaf Schenk, Mathieu Luisier
2025	J	`jnl`	Productivity, Portability, Performance, and Reproducibility: Data-Centric Python. IEEE Trans. Parallel Distributed Syst. Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler
2025	J	`jnl`	Serinv: A Scalable Library for the Selected Inversion of Block-Tridiagonal with Arrowhead Matrices. CoRR Vincent Maillou, Lisa Gaedke-Merzhäuser, Alexandros Nikolaos Ziogas, Olaf Schenk, Mathieu Luisier
2024	A	`conf`	Accelerated Atomistic Kinetic Monte Carlo Simulations of Resistive Memory Arrays. SC Manasa Kaniselvan, Alexander Maeder, Marko Mladenovic, Mathieu Luisier, Alexandros Nikolaos Ziogas
2024	B	`conf`	Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. PPoPP 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
2024	J	`jnl`	Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. CoRR Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboos, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler
2024	J	`jnl`	Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks. CoRR Christoph Weilenmann, Alexandros Nikolaos Ziogas, Till Zellweger, Kevin Portner, Marko Mladenovic, Manasa Kaniselvan, Timoleon Moraitis, Mathieu Luisier, Alexandros Emboras
2024	A	`conf`	Towards Exascale Simulations of Nanoelectronic Devices in the GW Approximation. SC Leonard Deuschle, Alexander Maeder, Vincent Maillou, Nicolas Vetsch, Anders Winka, Jiang Cao, Alexandros Nikolaos Ziogas, Mathieu Luisier
2023	A	`conf`	FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs. SC Philipp Schaad, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Alexandros Nikolaos Ziogas, Torsten Hoefler
2023	J	`jnl`	FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs. CoRR Philipp Schaad, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Alexandros Nikolaos Ziogas, Torsten Hoefler
2023	A	`conf`	High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. SC 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, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler
2022	—	`—`	A Data-Centric Optimization Workflow for the Python Language. Alexandros Nikolaos Ziogas
2022	A	`conf`	Deinsum: Practically I/O Optimal Multi-Linear Algebra. SC Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, Torsten Hoefler
2022	J	`jnl`	Deinsum: Practically I/O Optimal Multilinear Algebra. CoRR Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, Torsten Hoefler
2022	Misc	`conf`	Fast Arbitrary Precision Floating Point on FPGA. FCCM Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas, David Simmons-Duffin, Torsten Hoefler
2022	J	`jnl`	Fast Arbitrary Precision Floating Point on FPGA. CoRR Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas, David Simmons-Duffin, Torsten Hoefler
2021	A	`conf`	NPBench: a benchmarking suite for high-performance NumPy. ICS Alexandros Nikolaos Ziogas, Tal Ben-Nun, Timo Schneider, Torsten Hoefler
2021	J	`jnl`	On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations. CoRR 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
2021	B	`conf`	On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization. PPoPP Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler
2021	A	`conf`	On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizations. SC 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
2021	B	`conf`	Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. SPAA Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
2021	J	`jnl`	Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. CoRR Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
2021	J	`jnl`	Productivity, Portability, Performance: Data-Centric Python. CoRR Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler
2021	A	`conf`	Productivity, portability, performance: data-centric Python. SC Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler
2020	J	`jnl`	On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization. CoRR Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler
2019	J	`jnl`	A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations. CoRR Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	A	`conf`	A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. IPDPS Tal Ben-Nun, Maciej Besta, Simon Huber, Alexandros Nikolaos Ziogas, Daniel Peter, Torsten Hoefler
2019	J	`jnl`	A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. CoRR Tal Ben-Nun, Maciej Besta, Simon Huber, Alexandros Nikolaos Ziogas, Daniel Peter, Torsten Hoefler
2019	A	`conf`	A data-centric approach to extreme-scale SC Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	J	`jnl`	Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming. CoRR Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	A	`conf`	Optimizing the data movement in quantum transport simulations via data-centric parallel programming. SC Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	J	`jnl`	Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs. CoRR Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler
2019	A	`conf`	Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures. SC Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler