Anil Kanduri

46 papers A* 1A 9B 1C 6Misc 2Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploiting Approximation for Run-time Resource Management of Embedded HMPs.
ACM Trans. Embed. Comput. Syst.
Zain Taufique, Anil Kanduri, Antonio Miele, Amir M. Rahmani, Cristiana Bolchini, Nikil D. Dutt, Pasi Liljeberg
2025 A conf
HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms.
DATE
Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2025 J jnl
ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables.
IEEE Des. Test
Hamidreza Alikhani, Anil Kanduri, Emad Kasaeyan Naeini, Sina Shahhosseini, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2025 A conf
Invited Paper: Mindful AI for Pervasive Health and Wellbeing (PHW).
ICCAD
Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2025 A conf
Twill: Scheduling Compound AI Systems on Heterogeneous Mobile Edge Platforms.
ICCAD
Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2025 J jnl
Twill: Scheduling Compound AI Systems on Heterogeneous Mobile Edge Platforms.
CoRR
Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2024 B conf
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms.
ASPDAC
Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2024 J jnl
Adaptive approximate computing in edge AI and IoT applications: A review.
J. Syst. Archit.
Hans Jakob Damsgaard, Antoine Grenier, Dewant Katare, Zain Taufique, Salar Shakibhamedan, Tiago Troccoli, Georgios Chatzitsompanis, Anil Kanduri, Aleksandr Ometov, Aaron Yi Ding, Nima Taherinejad, Georgios Karakonstantis, Roger F. Woods, Jari Nurmi
2024 J jnl
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs.
CoRR
Zain Taufique, Muhammad Awais Bin Altaf, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2024 A conf
EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables.
ISLPED
Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2024 C conf
ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets.
BSN
Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani
2024 J jnl
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets.
CoRR
Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani
2024 J jnl
HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms.
CoRR
Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2024 A conf
SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness.
DATE
Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2024 C conf
Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms.
ICCD
Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2024 Misc conf
Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications.
CODES+ISSS
Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2023 J jnl
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms.
CoRR
Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2023 J jnl
DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference.
IEEE Embed. Syst. Lett.
Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2022 A conf
AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems.
DATE
Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2022 J jnl
Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms.
IEEE Trans. Computers
Elham Shamsa, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani
2022 J jnl
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications.
CoRR
Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2022 — conf
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks.
ISQED
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2022 J jnl
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks.
CoRR
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2022 J jnl
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks.
CoRR
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2022 J jnl
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks.
ACM Trans. Embed. Comput. Syst.
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2021 J jnl
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems.
CoRR
Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2021 — conf
Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices.
NorCAS
Zain Taufique, Anil Kanduri, Muhammad Awais Bin Altaf, Pasi Liljeberg
2021 — conf
Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems.
ASP-DAC
Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg
2021 — conf
Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness.
AICAS
Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt
2021 J jnl
UBAR: User- and Battery-aware Resource Management for Smartphones.
ACM Trans. Embed. Comput. Syst.
Elham Shamsa, Alma Pröbstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg
2020 Misc conf
User-centric Resource Management for Embedded Multi-core Processors.
VLSID
Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Pröbstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg
2019 — conf
End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications.
NORCAS
Mohammadreza Nakhkash, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg
2019 A conf
Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals.
DATE
Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2019 J jnl
On-Chip Dynamic Resource Management.
Found. Trends Electron. Des. Autom.
Antonio Miele, Anil Kanduri, Kasra Moazzemi, Dávid Juhász, Amir-Mohammad Rahmani, Nikil D. Dutt, Pasi Liljeberg, Axel Jantsch
2018 C conf
Approximation for Run-time Power Management.
ISCAS
Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg
2018 A* conf
Approximation-aware coordinated power/performance management for heterogeneous multi-cores.
DAC
Anil Kanduri, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Cristiana Bolchini, Nikil D. Dutt
2018 — conf
Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation.
NORCAS
Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2018 C conf
Trends in On-chip Dynamic Resource Management.
DSD
Kasra Moazzemi, Anil Kanduri, David Juhasz, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2018 J jnl
adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning.
IEEE Trans. Computers
Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Muhammad Shafique, Axel Jantsch, Pasi Liljeberg
2017 J jnl
Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications.
IEEE Trans. Very Large Scale Integr. Syst.
Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen, Nikil D. Dutt
2016 A conf
Approximation knob: power capping meets energy efficiency.
ICCAD
Anil Kanduri, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt, Hannu Tenhunen
2015 C conf
Dark silicon aware runtime mapping for many-core systems: A patterning approach.
ICCD
Anil Kanduri, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
2015 A conf
Dynamic power management for many-core platforms in the dark silicon era: A multi-objective control approach.
ISLPED
Amir-Mohammad Rahmani, Mohammad Hashem Haghbayan, Anil Kanduri, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, Hannu Tenhunen
2015 — conf
MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip.
NOCS
Mohammad Hashem Haghbayan, Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
2015 — conf
Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems.
MCSoC
Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen
2014 C conf
Mixed-Criticality Run-Time Task Mapping for NoC-Based Many-Core Systems.
PDP
Mohammad Fattah, Amir-Mohammad Rahmani, Thomas Canhao Xu, Anil Kanduri, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen