Panagiotis Chaidos

According to our database, Panagiotis Chaidos authored at least 6 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Performance Modeling & Mapping of LLM Inference on Heterogeneous Vectorized CGRAs.

Dionysios Kefallinos, Georgios Alexandris, Alexis Maras, Panagiotis Chaidos, Manil Dev Gomony, Henk Corporaal, Dimitrios Soudris, Sotirios Xydis

Proceedings of the 17th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 15th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2026

Optimize edge AI processing through innovative compilation techniques.

Shreya Alladi, Alexandre Lopoukhine, Georgios Alexandris, Andrea Nardi-Dei, Ravikiran Ravindranath Reddy, Christos P. Lamprakos, Panagiotis Chaidos, Alexis Maras, Alberto Ros, Tobias Grosser, Sotirios Xydis, Dimitrios Soudris, Marc Geilen, Sander Stuijk, Henk Corporaal, Alexandra Jimborean

Proceedings of the Design, Automation & Test in Europe Conference, 2026

Voltage Aware Approximate CGRA Synthesis for Energy Efficient DNN Inference.

Georgios Alexandris, Panagiotis Chaidos, Alexis Maras, Barry de Bruin, Manil Dev Gomony, Henk Corporaal, Dimitrios Soudris, Sotirios Xydis

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

A Unified Framework for Mapping and Synthesis of Approximate R-Blocks CGRAs.

Georgios Alexandris, Panagiotis Chaidos, Alexis Maras, Barry de Bruin, Manil Dev Gomony, Henk Corporaal, Dimitrios Soudris, Sotirios Xydis

CoRR, May, 2025

Flexible Hardware Accelerators for Ultra-Low Power Edge AI: The CONVOLVE Approach.

Panagiotis Chaidos, Alexios Maras, Georgios Alexandris, Xiaoling Yi, Asmae El Arrassi, Bas Ahn, James D. Garside, Yunhao Deng, Theofilos Spyrou, Anteneh Gebregiorgis, Mottaqiallah Taouil, Manil Dev Gomony, Sotirios Xydis, Marian Verhelst, Said Hamdioui, Dimitrios Soudris, Henk Corporaal

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

A Bespoke Design Approach to Low-Power Printed Microprocessors for Machine Learning Applications.

Panagiotis Chaidos, Giorgos Armeniakos, Sotirios Xydis, Dimitrios Soudris

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025