Alexandros Nikolaos Ziogas

Orcid: 0000-0002-4328-9751

According to our database1, Alexandros Nikolaos Ziogas authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks.
CoRR, 2024

Accelerated Atomistic Kinetic Monte Carlo Simulations of Resistive Memory Arrays.
Proceedings of the International Conference for High Performance Computing, 2024

Towards Exascale Simulations of Nanoelectronic Devices in the GW Approximation.
Proceedings of the International Conference for High Performance Computing, 2024

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication.
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.
Proceedings of the International Conference for High Performance Computing, 2023

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations.
Proceedings of the International Conference for High Performance Computing, 2023

2022
A Data-Centric Optimization Workflow for the Python Language.
PhD thesis, 2022

Deinsum: Practically I/O Optimal Multilinear Algebra.
CoRR, 2022

Deinsum: Practically I/O Optimal Multi-Linear Algebra.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Fast Arbitrary Precision Floating Point on FPGA.
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.
Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

Productivity, portability, performance: data-centric Python.
Proceedings of the International Conference for High Performance Computing, 2021

On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizations.
Proceedings of the International Conference for High Performance Computing, 2021

On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization.
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.
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.
CoRR, 2019

Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs.
CoRR, 2019

Optimizing the data movement in quantum transport simulations via data-centric parallel programming.
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.
Proceedings of the International Conference for High Performance Computing, 2019

Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures.
Proceedings of the International Conference for High Performance Computing, 2019

A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019


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