Výsledky vyhledávání - "Georgios Flamis"

Akademický článek

A Survey on RISC-V-Based Machine Learning Ecosystem

Autor: Stavros Kalapothas, Manolis Galetakis, Georgios Flamis, Fotis Plessas, Paris Kitsos

Publikováno v: Information, Vol 14, Iss 2, p 64 (2023)

In recent years, the advancements in specialized hardware architectures have supported the industry and the research community to address the computation power needed for more enhanced and compute intensive artificial intelligence (AI) algorithms and

Externí odkaz: https://doaj.org/article/182d97d8a7554d4cb8f6914113d88116

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Akademický článek

Efficient Edge-AI Application Deployment for FPGAs

Autor: Stavros Kalapothas, Georgios Flamis, Paris Kitsos

Publikováno v: Information, Vol 13, Iss 6, p 279 (2022)

Field Programmable Gate Array (FPGA) accelerators have been widely adopted for artificial intelligence (AI) applications on edge devices (Edge-AI) utilizing Deep Neural Networks (DNN) architectures. FPGAs have gained their reputation due to the great

Externí odkaz: https://doaj.org/article/512a8910b5014c98aff46e62988ed19a

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FPGA-SoC Deployment of Complex Deep Neural Network for Magnitude and Phase Computations in Denoising of Speech Signal

Autor: Georgios Flamis, Stavros Kalapothas, Paris Kitsos

Publikováno v: 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f16390f4c366e78980009934ae075f13
https://doi.org/10.1109/vlsi-soc54400.2022.9939632

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Workflow on CNN utilization and inference in FPGA for embedded applications: 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2021)

Autor: Paris Kitsos, Stavros Kalapothas, Georgios Flamis

Publikováno v: SEEDA-CECNSM

The operation of devices such as wearables, hearables, mobile telephones and their accessories can be challenging due to the limitations of embedded systems restrictions in size and computational power. Design scalability and flexibility are necessar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a83363378c498338d9ccbc22cf3590f4
https://doi.org/10.1109/seeda-cecnsm53056.2021.9566259

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Best Practices for the Deployment of Edge Inference: The Conclusions to Start Designing

Autor: Stavros Kalapothas, Georgios Flamis, Paris Kitsos

Publikováno v: Electronics, Vol 10, Iss 1912, p 1912 (2021)
Electronics
Volume 10
Issue 16

The number of Artificial Intelligence (AI) and Machine Learning (ML) designs is rapidly increasing and certain concerns are raised on how to start an AI design for edge systems, what are the steps to follow and what are the critical pieces towards th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd377074cb14c22826414378c461e0ce
https://www.mdpi.com/2079-9292/10/16/1912

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Importing Custom DNN Models on FPGAs

Autor: Stavros Kalanothas, Paris Kitsos, Georgios Flamis

Publikováno v: MECO

With the recent advances and the proliferation of low-power and resource constraint embedded hardware being deployed in the field, the edge computing paradigm has become more prominent. Nowadays, it is possible to apply Machine Learning (ML) algorith

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b53ca7453371986d5ca8593afa02f5c2
https://doi.org/10.1109/meco52532.2021.9460248

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