Anil Kanduri

CoRR, 2024

EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2024

ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets.

[BibT_eX]

[DOI]

Ziyu Wang

Seyed Amir Hossein Aqajari

Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms.

[BibT_eX]

[DOI]

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference.

[BibT_eX]

[DOI]

IEEE Embed. Syst. Lett., December, 2023

2022

Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks.

[BibT_eX]

[DOI]

ACM Trans. Embed. Comput. Syst., November, 2022

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2022

Edge-centric Optimization of Multi-modal ML-driven eHealth Applications.

[BibT_eX]

[DOI]

CoRR, 2022

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

UBAR: User- and Battery-aware Resource Management for Smartphones.

[BibT_eX]

[DOI]

ACM Trans. Embed. Comput. Syst., 2021

AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices.

[BibT_eX]

[DOI]

Zain Taufique

Muhammad Awais Bin Altaf

Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2021, Oslo, 2021

Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems.

[BibT_eX]

[DOI]

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness.

[BibT_eX]

[DOI]

Sina Shahhosseini

Milad Asgari Mehrabadi

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

User-centric Resource Management for Embedded Multi-core Processors.

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on VLSI Design and 19th International Conference on Embedded Systems, 2020

2019

On-Chip Dynamic Resource Management.

[BibT_eX]

[DOI]

Nikil D. Dutt

Axel Jantsch

Found. Trends Electron. Des. Autom., 2019

End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications.

[BibT_eX]

[DOI]

Mohammadreza Nakhkash

Amir M. Rahmani

Proceedings of the 2019 IEEE Nordic Circuits and Systems Conference, 2019

Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2018

Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Nordic Circuits and Systems Conference, 2018

Approximation for Run-time Power Management.

[BibT_eX]

[DOI]

Amir M. Rahmani

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Trends in On-chip Dynamic Resource Management.

[BibT_eX]

[DOI]

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

Approximation-aware coordinated power/performance management for heterogeneous multi-cores.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications.

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., 2017

2016

Approximation knob: power capping meets energy efficiency.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

2015

MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip.

[BibT_eX]

[DOI]

Axel Jantsch

Hannu Tenhunen

Proceedings of the 9th International Symposium on Networks-on-Chip, 2015

Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems.

[BibT_eX]

[DOI]

Hannu Tenhunen

Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015

Dynamic power management for many-core platforms in the dark silicon era: A multi-objective control approach.

[BibT_eX]

[DOI]

Awet Yemane Weldezion

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015

Dark silicon aware runtime mapping for many-core systems: A patterning approach.

[BibT_eX]

[DOI]

Axel Jantsch

Hannu Tenhunen

Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

2014

Mixed-Criticality Run-Time Task Mapping for NoC-Based Many-Core Systems.

[BibT_eX]

[DOI]

Mohammad Fattah