Coarse-Grained Reconfigurable Arrays

Research Line

Accelerators

CGRA

Keywords
accelerator, reconfigurable, heterogeneous, low-power, low-energy

Team

  Ansaloni Giovanni
  Atienza Alonso David
  Miranda Calero José Angel
  Orlandic Lara
  Rodriguez Álvarez Rubén
  Sapriza Araujo Juan Pablo
  Schiavone Pasquale Davide
  Wang Yuxuan

Research Partners

IMEC IMEC

Sources of Funding

RESoRT
SNF ML-edge
Compusapien


CGRAs provide a good tradeoff in terms of throughput and energy efficiency. This project aims to explore hardware architecture in the context of CGRAs to improve the energy efficiency of low-power embedded systems.

News

  Open-hardware CGRA



Related Publications

An MLIR-based Compilation Framework for CGRA Application Deployment
Wang, Yuxuan; Tirelli, Cristian; Orlandic, Lara; Sapriza, Juan; Rodr�guez �lvarez, Rub�n; Ansaloni, Giovanni; Pozzi, Laura; Atienza, David
2025-04-09The 21st International Symposium on Applied Reconfigurable ComputingPublication funded by Fvllmonti (Ferroelectric Vertical Low energy Low latency low volume Modules fOr Neural network Transformers In 3D)Publication funded by ACCESS (AI Chip Center for Emerging Smart Systems, sponsored by InnoHK funding, Hong Kong SAR)Publication funded by SwissChips (SwissChips - State Secretariat for Education, Research and Innovation)
SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs
Tirelli, Cristian; Sapriza, Juan; Rodríguez Álvarez, Rubén; Ferretti, Lorenzo; Denkinger, Benoît Walter; Ansaloni, Giovanni; Miranda Calero, José Angel; Atienza Alonso, David; Pozzi, Laura
2024-04-08ACM Journal on Emerging Technologies in Computing SystemsPublication funded by UrbanTwin (An urban digital twin for climate action: Assessing policies and solutions for energy, water and infrastructure )
An Open-Hardware Coarse-Grained Reconfigurable Array for Edge Computing
Rodríguez Álvarez, Rubén; Denkinger, Benoît Walter; Sapriza, Juan; Miranda Calero, José Angel; Ansaloni, Giovanni; Atienza Alonso, David
2023-04-25Conference PaperPublication funded by RESoRT (Botnar Foundation Project )Publication funded by SNF ML-edge (Enabling Machine-Learning-Based Health Monitoring in Edge Sensors via Architectural Customization: Swiss NSF Research Project (Div. II))
Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems
Denkinger, Benoît Walter; Peon Quiros, Miguel; Konijnenburg, Mario; Atienza Alonso, David; Catthoor, Francky
2023-03-17Transactions on ComputersPublication funded by RESoRT (Botnar Foundation Project )Publication funded by SNF ML-edge (Enabling Machine-Learning-Based Health Monitoring in Edge Sensors via Architectural Customization: Swiss NSF Research Project (Div. II))Publication funded by Compusapien (European Research Council – Consolidator Grant (ERC CoG) Project: Computing Server Architecture with Joint Power and Cooling Integration at the Nanoscale.)
VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices
Denkinger, Beno�t Walter; Peon Quiros, Miguel; Konijnenburg, Mario; Atienza Alonso, David; Catthoor, Francky
2022Conference PaperPublication funded by Compusapien (European Research Council – Consolidator Grant (ERC CoG) Project: Computing Server Architecture with Joint Power and Cooling Integration at the Nanoscale.)Publication funded by RESoRT (Botnar Foundation Project )Publication funded by SNF ML-edge (Enabling Machine-Learning-Based Health Monitoring in Edge Sensors via Architectural Customization: Swiss NSF Research Project (Div. II))
Modular Design and Optimization of Biomedical Applications for Ultra-Low Power Heterogeneous Platforms
De Giovanni, Elisabetta; Montagna, Fabio; Denkinger, Beno�t Walter; Machetti, Simone; Peon Quiros, Miguel; Benatti, Simone; Rossi, Davide; Benini, Luca; Atienza Alonso, David
2020[Proceedings of CODES+ISSS 2020]Publication funded by SNF ML-edge (Enabling Machine-Learning-Based Health Monitoring in Edge Sensors via Architectural Customization: Swiss NSF Research Project (Div. II))Publication funded by Hasler MyPreHealth (Hasler Foundation – Cyber Human Systems Programme: Predicting Episodic Disorders with Health Companions)Publication funded by DeepHealth H2020 (European Commission H2020-ICT-2018-2020 Project)
i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-signal Processing
Duch, Loris Gérard; Basu, Soumya Subhra; Peon Quiros, Miguel; Ansaloni, Giovanni; Pozzi, Laura; Atienza Alonso, David
2019IEEE Embedded Systems Letters (ESL)
Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications
Basu, Soumya Subhra; Duch, Loris Gérard; Peon Quiros, Miguel; Ansaloni, Giovanni; Pozzi, Laura; Atienza Alonso, David
20182018 Ieee International Symposium On Circuits And Systems (Iscas)
HEAL-WEAR: an Ultra-Low Power Heterogeneous System for Bio-Signal Analysis
L. Duch, S. Basu, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza
2017IEEE Transactions on Circuits and Systems-I (TCAS-I)
An Inexact Ultra-low Power Bio-signal Processing Architecture With Lightweight Error Recovery
S. Basu, L. Duch, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza
2017CODES-ISSS, Seoul, South-Korea
A Multi-Core Reconfigurable Architecture for Ultra-Low Power Bio-Signal Analysis
L. Duch, S. Basu, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza
2016BioCAS, Shanghai, China