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ORCIDAnil Kanduri
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2020 – today
- 2024
[j8]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:
Adaptive approximate computing in edge AI and IoT applications: A review. J. Syst. Archit. 150: 103114 (2024)- [c21]Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri:
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms. ASPDAC 2024: 109-114 - [c20]Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. DATE 2024: 1-2 - [c19]Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. ISLPED 2024: 1-6 - [i7]Zain Taufique, Muhammad Awais Bin Altaf, Antonio Miele, Pasi Liljeberg, Anil Kanduri:
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs. CoRR abs/2402.09867 (2024) - [i6]Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani:
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets. CoRR abs/2408.10228 (2024) - 2023
- [j7]Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference. IEEE Embed. Syst. Lett. 15(4): 222-225 (2023) - [i5]Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri:
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms. CoRR abs/2310.10157 (2023) - 2022
- [j6]Elham Shamsa, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani:
Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms. IEEE Trans. Computers 71(4): 743-755 (2022) - [j5]Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. ACM Trans. Embed. Comput. Syst. 21(6): 73:1-73:25 (2022) - [c18]Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. DATE 2022: 1455-1460 - [c17]Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. ISQED 2022: 1-6 - [i4]Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks. CoRR abs/2202.10541 (2022) - [i3]Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. CoRR abs/2202.11098 (2022) - [i2]Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. CoRR abs/2208.02597 (2022) - 2021
- [j4]Elham Shamsa, Alma Pröbstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg:
UBAR: User- and Battery-aware Resource Management for Smartphones. ACM Trans. Embed. Comput. Syst. 20(3): 23:1-23:25 (2021) - [c16]Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt:
Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. AICAS 2021: 1-4 - [c15]Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg:
Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems. ASP-DAC 2021: 421-427 - [c14]Zain Taufique, Anil Kanduri, Muhammad Awais Bin Altaf, Pasi Liljeberg:
Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices. NorCAS 2021: 1-7 - [i1]Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems. CoRR abs/2112.08176 (2021) - 2020
- [c13]Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Pröbstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg:
User-centric Resource Management for Embedded Multi-core Processors. VLSID 2020: 43-48
2010 – 2019
- 2019
- [j3]Antonio Miele, Anil Kanduri, Kasra Moazzemi, Dávid Juhász, Amir-Mohammad Rahmani, Nikil D. Dutt, Pasi Liljeberg, Axel Jantsch:
On-Chip Dynamic Resource Management. Found. Trends Electron. Des. Autom. 13(1-2): 1-14 (2019) - [c12]Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt:
Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals. DATE 2019: 1397-1402 - [c11]Mohammadreza Nakhkash, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg:
End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications. NORCAS 2019: 1-6 - 2018
- [j2]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Muhammad Shafique, Axel Jantsch, Pasi Liljeberg:
adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning. IEEE Trans. Computers 67(8): 1062-1077 (2018) - [c10]Anil Kanduri, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Cristiana Bolchini, Nikil D. Dutt:
Approximation-aware coordinated power/performance management for heterogeneous multi-cores. DAC 2018: 68:1-68:6 - [c9]Kasra Moazzemi, Anil Kanduri, David Juhasz, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt:
Trends in On-chip Dynamic Resource Management. DSD 2018: 62-69 - [c8]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg:
Approximation for Run-time Power Management. ISCAS 2018: 1-4 - [c7]Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt:
Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation. NORCAS 2018: 1-4 - 2017
- [j1]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen, Nikil D. Dutt:
Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications. IEEE Trans. Very Large Scale Integr. Syst. 25(10): 2749-2762 (2017) - 2016
- [c6]Anil Kanduri, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt, Hannu Tenhunen:
Approximation knob: power capping meets energy efficiency. ICCAD 2016: 122 - 2015
- [c5]Anil Kanduri, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen:
Dark silicon aware runtime mapping for many-core systems: A patterning approach. ICCD 2015: 573-580 - [c4]Amir-Mohammad Rahmani, Mohammad Hashem Haghbayan, Anil Kanduri, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, Hannu Tenhunen:
Dynamic power management for many-core platforms in the dark silicon era: A multi-objective control approach. ISLPED 2015: 219-224 - [c3]Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems. MCSoC 2015: 135-142 - [c2]Mohammad Hashem Haghbayan, Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen:
MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip. NOCS 2015: 26:1-26:8 - 2014
- [c1]Mohammad Fattah, Amir-Mohammad Rahmani, Thomas Canhao Xu, Anil Kanduri, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Mixed-Criticality Run-Time Task Mapping for NoC-Based Many-Core Systems. PDP 2014: 458-465
Coauthor Index
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