Andreas Emeretlis

Affiliations:
  • University of Patras, Greece


According to our database1, Andreas Emeretlis authored at least 11 papers between 2014 and 2022.

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

Timeline

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Bibliography

2022
A Multi-stage Hybrid Approach for Mapping Applications on Heterogeneous Multi-core Platforms.
Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

2018
Static Mapping of Applications on Heterogeneous Multi-Core Platforms Combining Logic-Based Benders Decomposition with Integer Linear Programming.
ACM Trans. Design Autom. Electr. Syst., 2018

2017
Task graph mapping and scheduling on heterogeneous architectures under communication constraints.
Proceedings of the 2017 International Conference on Embedded Computer Systems: Architectures, 2017

2016
A Logic-Based Benders Decomposition Approach for Mapping Applications on Heterogeneous Multicore Platforms.
ACM Trans. Embed. Comput. Syst., 2016

A hybrid approach for mapping and scheduling on heterogeneous multicore systems.
Proceedings of the International Conference on Embedded Computer Systems: Architectures, 2016

2015
Mapping DAGs on Heterogeneous Platforms Using Logic-Based Benders Decompostion.
Proceedings of the 2015 IEEE Computer Society Annual Symposium on VLSI, 2015

40 Gb/s FPGA implementation of a reduced complexity volterra DFE for DQPSK optical links.
Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

FPGA implementation of a MIMO DFE IN 40 GB/S DQPSK optical links.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
High-performance FPGA implementations of volterra DFEs for optical fiber systems.
Proceedings of the 2014 International Conference on ReConFigurable Computing and FPGAs, 2014

FPGA Implementations for Volterra DFEs.
Proceedings of the 18th Panhellenic Conference on Informatics, 2014

A Hybrid ILP-CP Model for Mapping Directed Acyclic Task Graphs to Multicore Architectures.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014


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