Anil Kanduri

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Gallium Arsenide

Resource Management

Wearable Devices

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

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 (2024)
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)
Zain Taufique, Muhammad Awais Bin Altaf, Antonio Miele, Pasi Liljeberg, Anil Kanduri
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs. CoRR (2024)
Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms. ASPDAC (2024)
Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms. CoRR (2023)
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) (2023)
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 (2022)
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 (2022)
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) (2022)
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)
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)
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 (2022)
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) (2022)
Zain Taufique, Anil Kanduri, Muhammad Awais Bin Altaf, Pasi Liljeberg
Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices. NorCAS (2021)
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)
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 (2021)
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)
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) (2021)
Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Pröbstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg
User-centric Resource Management for Embedded Multi-core Processors. VLSI Design (2020)
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) (2019)
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)
Mohammadreza Nakhkash, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg
End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications. NORCAS (2019)
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) (2018)
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)
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)
Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg
Approximation for Run-time Power Management. ISCAS (2018)
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)
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) (2017)
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)
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)
Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen
Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems. MCSoC (2015)
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)
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)
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)