Alexandros Nikolaos Ziogas
Orcid: 0000-0002-4328-9751
According to our database1,
Alexandros Nikolaos Ziogas
authored at least 23 papers
between 2019 and 2024.
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Bibliography
2024
Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks.
CoRR, 2024
Proceedings of the International Conference for High Performance Computing, 2024
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
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
Proceedings of the SC22: International Conference for High Performance Computing, 2022
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
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
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