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Anil 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) - [c22]Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri:
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms. ASPDAC 2024: 109-114 - [c21]Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications. CODES+ISSS 2024: 6 - [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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last updated on 2024-11-25 23:41 CET by the dblp team
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