José Cano

CoRR, 2024

Designing Efficient LLM Accelerators for Edge Devices.

[BibT_eX]

[DOI]

CoRR, 2024

Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR.

[BibT_eX]

[DOI]

Antonino Tumeo

CoRR, 2024

Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices.

[BibT_eX]

[DOI]

Vinamra Sharma

Danilo Pau

Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., March, 2023

Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions.

[BibT_eX]

[DOI]

CoRR, 2023

DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack.

[BibT_eX]

[DOI]

Mounia Kharbouche-Harrari

CoRR, 2023

A Differential Testing Framework to Evaluate Image Recognition Model Robustness.

[BibT_eX]

[DOI]

CoRR, 2023

Fault Localization for Framework Conversions of Image Recognition Models.

[BibT_eX]

[DOI]

CoRR, 2023

MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators.

[BibT_eX]

[DOI]

CoRR, 2023

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022

Exploring Effects of Computational Parameter Changes to Image Recognition Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Reusing Auto-Schedules for Efficient DNN Compilation.

[BibT_eX]

[DOI]

CoRR, 2022

Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators.

[BibT_eX]

[DOI]

Axel Stjerngren

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.

[BibT_eX]

[DOI]

Shi Dong

Yifan Sun

IEEE Trans. Parallel Distributed Syst., 2021

Optimizing Data Processing in Space for Object Detection in Satellite Imagery.

[BibT_eX]

[DOI]

Martina Lofqvist

CoRR, 2021

SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, 2021

2020

Accelerating Deep Learning Applications in Space.

[BibT_eX]

[DOI]

Martina Lofqvist

CoRR, 2020

Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.

[BibT_eX]

[DOI]

Shi Dong

Elmira Karimi

Marti Torrents Lapuerta

José L. Abellán

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Optimizing Grouped Convolutions on Edge Devices.

[BibT_eX]

[DOI]

Amos J. Storkey

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2018

HAKD: Hardware Aware Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2018

Solving the task variant allocation problem in distributed robotics.

[BibT_eX]

[DOI]

Auton. Robots, 2018

Automatic Parameter Tuning of Motion Planning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Amos J. Storkey

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

2017

HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software, 2017

2016

Task Variant Allocation in Distributed Robotics.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Automatic configuration of ROS applications for near-optimal performance.

[BibT_eX]

[DOI]

Carlos Miguel Tavares Calafate

Alejandro Bordallo

Vijay Nagarajan

Subramanian Ramamoorthy

Sethu Vijayakumar

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Quantitative characterization of the software layer of a HW/SW co-designed processor.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Symposium on Workload Characterization, 2016

2015

Dynamic process migration in heterogeneous ROS-based environments.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advanced Robotics, 2015

2014

Efficient Routing in Heterogeneous SoC Designs with Small Implementation Overhead.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2014

2013

Seamless MANET autoconfiguration through enhanced 802.11 beaconing.

[BibT_eX]

[DOI]

MaJosé Villanueva

Mob. Inf. Syst., 2013

2012

Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip.

[BibT_eX]

[DOI]

Proceedings of the 2012 Sixth IEEE/ACM International Symposium on Networks-on-Chip (NoCS), 2012

2011

Spidergon STNoC design flow.

[BibT_eX]

[DOI]

Proceedings of the NOCS 2011, 2011

Efficient routing implementation in complex systems-on-chip.

[BibT_eX]

[DOI]

Proceedings of the NOCS 2011, 2011

2010

EasyMANET: an extensible and configurable platform for service provisioning in MANET environments.

[BibT_eX]

[DOI]

Carlos Miguel Tavares Calafate

Juan-Carlos Cano

Chai-Keong Toh

Pietro Manzoni

IEEE Commun. Mag., 2010

2007

Solving the user-to-host binding problem in ad hoc networks through photo-ids.

[BibT_eX]

[DOI]

Carlos Miguel Tavares Calafate

Juan-Carlos Cano

Pietro Manzoni

Proceedings of the 4th ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, 2007

2006

A MANET Autoconfiguration System based on Bluetooth Technology.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Symposium on Wireless Communication Systems, 2006

2005

On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE Symposium on Computers and Communications (ISCC 2005), 2005

2004

The Newton Polygon Method for Differential Equations.

[BibT_eX]

[DOI]