Alexandros Nikolaos Ziogas

According to our database, Alexandros Nikolaos Ziogas authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

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

Proceedings of the International Conference for High Performance Computing, 2023

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, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2023

2022

A Data-Centric Optimization Workflow for the Python Language.

Alexandros Nikolaos Ziogas

PhD thesis, 2022

Deinsum: Practically I/O Optimal Multilinear Algebra.

Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, Torsten Hoefler

CoRR, 2022

Deinsum: Practically I/O Optimal Multi-Linear Algebra.

Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, Torsten Hoefler

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Fast Arbitrary Precision Floating Point on FPGA.

Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas, David Simmons-Duffin, Torsten Hoefler

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

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

Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 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

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

NPBench: a benchmarking suite for high-performance NumPy.

Alexandros Nikolaos Ziogas, Tal Ben-Nun, Timo Schneider, Torsten Hoefler

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

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

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

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

Proceedings of the International Conference for High Performance Computing, 2019

A data-centric approach to extreme-scale <i>ab initio</i> dissipative quantum transport simulations.

Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the International Conference for High Performance Computing, 2019

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

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019