Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-core Systems
Umit Y. Ogras Radu Marculescu, Ali Akoglu, Chaitali Chakrabarti, Daniel W. Bliss, Samet Egeman Arda, Anderson Luiz Sartor, Nirmal Kumbhare, Anish Krishnakumar, Joshua Mack, Ahmet Alper Goksoy, Sumit K. Mandal
Invention Disclosure M21-089P, October 2020.

HILITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs
Umit Y. Ogras Radu Marculescu, Ali Akoglu, Chaitali Chakrabarti, Daniel W. Bliss, Samet Egeman Arda, Anderson Luiz Sartor, Nirmal Kumbhare, Anish Krishnakumar, Joshua Mack, Ahmet Alper Goksoy, Sumit K. Mandal
Invention Disclosure M21-094P, October 2020.

User-space Emulation Frameowrk for Heterogeneous SoC Design
Umit Y. Ogras Radu Marculescu, Ali Akoglu, Chaitali Chakrabarti, Daniel W. Bliss, Samet Egeman Arda, Anderson Luiz Sartor, Nirmal Kumbhare, Anish Krishnakumar, Joshua Mack, Ahmet Alper Goksoy, Sumit K. Mandal
Invention Disclosure M21-095P, October 2020.

Energy-Efficient Networks-on-Chip Architectures: Design and Run-Time Optimization
Sumit K. Mandal, Anish Krishnakumar, Umit Y. Ogras
Network-on-Chip Security and Privacy, Springer, 2021.

Per-Core Power Modeling for Heterogenous SoCs
Ganapati Bhat, Sumit K. Mandal, Sai T. Manchukonda, Sai V. Vadlamudi, Ayushi Agarwal, Jun Wang, Umit Y. Ogras
MDPI Electronics, 2021.

Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, Yu Cao
ACM Journal on Emerging Technologies in Computing Systems, 2021.

Dynamic Resource Management of Heterogeneous Mobile Platforms via Imitation Learning
Sumit K. Mandal, Ganapati Bhat, Chetan Arvind Patil, Janardhan Rao Doppa, Partha Pratim Pande, Umit Y. Ogras
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2020.

Determining Mechanical Stress Testing Parameters for FHE Designs with Low Computational Overhead
Ganapati Bhat, Hang Gao, Sumit K. Mandal, Sule Ozev, Umit Y. Ogras
IEEE Design and Test, 2020.

A Survey on Energy Management for Mobile and IoT Devices
Sudeep Pasricha, Raid Ayoub, Michael Kishinevsky, Sumit K. Mandal, Umit Y. Ogras
IEEE Design and Test, 2020.

An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms
Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Umit Y. Ogras
ACM Transactions on Design Automation of Electronic Systems, 2020. Best Paper Award

Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, Yu Cao
IEEE Design and Test, 2020.

Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Mohammad M. Islam, Umit Y. Ogras
IEEE Embedded Systems Letters, 2020.

A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs
Sumit K. Mandal, Gokul Krishnan, Chaitali Chakrabarti, Jae-sun Seo, Yu Cao, Umit Y. Ogras
IEEE Journal on Emerging and Selected Topic in Circuits and Systems, 2020.

Front–End Architecture Design for Low-Complexity 3-D Ultrasound Imaging Based on Synthetic Aperture Sequential Beamforming
Jian Zhou, Sumit K. Mandal, Brendan L. West, Siyuan Wei, Umit Y. Ogras, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenish, Chaitali Chakrabarti
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2020.

A deep Q-learning Approach for Dynamic Management of Heterogeneous Processors
Ujjwal Gupta, Sumit K. Mandal, Manqing Mao, Chaitali Chakrabarti, Umit Y. Ogras
IEEE Computer Architecture Letters, 2019.

Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration
Sumit K. Mandal, Jie Tong, Raid Ayoub, Ahmed Abousamra, Michael Kishinevsky, Umit Y. Ogras
Proceedings of International Conference on Computer-Aided Design (ICCAD), 2021 (To appear).

FLASH: Fast Neural Architecture Search with Hardware Optimization
Guihong Li, Sumit K. Mandal, Radu Marculescu, Umit Y. Ogras
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2021.

SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, Yu Cao
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2021.

Interconnect-centric Benchmarking of In-memory Acceleration For DNNS
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, Yu Cao
China Semiconductor Technology International Conference (CSTIC), 2021.

Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion
Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Umit Y. Ogras
Proceedings of International Conference on Computer-Aided Design (ICCAD), 2020.

Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs
Sumit K. Mandal, Umit Y. Ogras, Janardhan Rao Doppa, Raid Ayoub, Michael Kishinevsky, Partha Pratim Pande
Design Automation Conference (DAC), 2020.

Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems
Anish Krishnakumar, Samet E. Arda, Ahmet Alper Goksoy, Sumit K. Mandal, Umit Y. Ogras, Anderson L. Sartor, Radu Marculescu
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2020.

Analytical performance models for NoCs with multiple priority traffic classes
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Umit Y. Ogras
International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), 2019.

Online Learning for Adaptive Optimization of Heterogeneous SoCs
Ganapati Bhat, Sumit K. Mandal, Ujjwal Gupta, Umit Y. Ogras
Proceedings of International Conference on Computer-Aided Design (ICCAD), 2018.

Network-on-Chip (NoC) Performance Analysis and Optimization for Deep Learning Applications
Sumit K. Mandal
Preliminary Exam Report, University of Wisconsin-Madison, June 2021

LOOP: A Lightweight Congestion Control for Priority-Aware NoCs with Deflection
Shruti Yadav Narayana, Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Umit Y. Ogras
SRC Techcon, 2021 (Best Presentation Award).

An Online Learning Framework for Priority-Aware NoC Performance Analysis
Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Umit Y. Ogras
SRC Techcon, 2019.