Sumit K. Mandal

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Mobile Platform

Resource Management

Congestion Control

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Yaotian Liu, Jae-Sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Jeff Zhang, Yu Cao
Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. ASPDAC (2024)
Praveen Nagil, Sumit K. Mandal
DISHA: Low-Energy Sparse Transformer at Edge for Outdoor Navigation for the Visually Impaired Individuals. CoRR (2024)
Shruti Yadav Narayana, Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
Machine Learning-based Low Overhead Congestion Control Algorithm for Industrial NoCs. CoRR (2023)
Shruti Yadav Narayana, Sumit K. Mandal, Raid Ayoub, Mohammad M. Islam, Michael Kishinevsky, Ümit Y. Ogras
Fast Analysis Using Finite Queuing Model for Multilayer NoCs. IEEE Des. Test 40 (6) (2023)
Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Jae-Sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Yu Cao
Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling. ASICON (2023)
Sumit K. Mandal, Shruti Yadav Narayana, Raid Ayoub, Michael Kishinevsky, Ahmed Abousamra, Ümit Y. Ogras
Fast Performance Analysis for NoCs With Weighted Round-Robin Arbitration and Finite Buffers. IEEE Trans. Very Large Scale Integr. Syst. 31 (5) (2023)
K. Neethu, K. C. Sharin Shahana, Rekha K. James, John Jose, Sumit K. Mandal
ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training. IEEE Des. Test 40 (6) (2023)
A. Alper Goksoy, Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu
CANNON: Communication-Aware Sparse Neural Network Optimization. IEEE Trans. Emerg. Top. Comput. 11 (4) (2023)
Shruti Yadav Narayana, Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
A Lightweight Congestion Control Technique for NoCs with Deflection Routing. DATE (2023)
Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures. DATE (2023)
Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Ümit Y. Ogras
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Gokul Krishnan, A. Alper Goksoy, Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture. ICCAD (2022)
Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, I. Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John Brunhaver, Chaitali Chakrabarti, L. Chang, Kuan-Yu Chen, M.-H. Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Y. Fu, A. Alper Goksoy, X. He, Md. S. Hassan, Andrew Herschfelt, Jacob Holtom, H.-S. Kim, A. N. Krishnakumar, Y. Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, B. McCall, Trevor N. Mudge, Ümit Y. Ogras, V. Pandey, S. Siddiqui, Yu-Hsiu Sun, Adarsh Venkataramani, X. Wei, B. R. Willis, Hanguang Yu, Yufan Yue
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS (2022)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao
Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Ümit Y. Ogras
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. CoRR (2022)
Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. CoRR (2021)
Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu
FLASH: Fast Neural Architecture Search with Hardware Optimization. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao
System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration. ASICON (2021)
Sumit K. Mandal, Jie Tong, Raid Ayoub, Michael Kishinevsky, Ahmed Abousamra, Ümit Y. Ogras
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration. CoRR (2021)
Sumit K. Mandal, Jie Tong, Raid Ayoub, Michael Kishinevsky, Ahmed Abousamra, Ümit Y. Ogras
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration. ICCAD (2021)
Jian Zhou, Sumit K. Mandal, Brendan L. West, Siyuan Wei, Ümit Y. Ogras, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti
Front-End Architecture Design for Low-Complexity 3-D Ultrasound Imaging Based on Synthetic Aperture Sequential Beamforming. IEEE Trans. Very Large Scale Integr. Syst. 29 (2) (2021)
Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu
FLASH: Fast Neural Architecture Search with Hardware Optimization. CoRR (2021)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks. CoRR (2021)
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Mohammad M. Islam, Ümit Y. Ogras
Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic. IEEE Embed. Syst. Lett. 13 (3) (2021)
Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu
Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Ganapati Bhat, Hang Gao, Sumit K. Mandal, Ümit Y. Ogras, Sule Ozev
Determining Mechanical Stress Testing Parameters for FHE Designs with Low Computational Overhead. IEEE Des. Test 37 (4) (2020)
Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms. CoRR (2020)
Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems. CoRR (2020)
Raid Ayoub, Michael Kishinevsky, Sumit K. Mandal, Ümit Y. Ogras
Analytical modeling of NoCs for fast simulation and design exploration (invited). SLIP (2020)
Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion. ICCAD (2020)
Sumit K. Mandal, Ümit Y. Ogras, Janardhan Rao Doppa, Raid Zuhair Ayoub, Michael Kishinevsky, Partha Pratim Pande
Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. CoRR (2020)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs. IEEE Des. Test 37 (6) (2020)
Sumit K. Mandal, Ümit Y. Ogras, Janardhan Rao Doppa, Raid Zuhair Ayoub, Michael Kishinevsky, Partha Pratim Pande
Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. DAC (2020)
Sumit K. Mandal, Gokul Krishnan, Chaitali Chakrabarti, Jae-Sun Seo, Yu Cao, Ümit Y. Ogras
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (3) (2020)
Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion. CoRR (2020)
Sudeep Pasricha, Raid Ayoub, Michael Kishinevsky, Sumit K. Mandal, Ümit Y. Ogras
A Survey on Energy Management for Mobile and IoT Devices. IEEE Des. Test 37 (5) (2020)
Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
An Energy-aware Online Learning Framework for Resource Management in Heterogeneous Platforms. ACM Trans. Design Autom. Electr. Syst. 25 (3) (2020)
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Mohammad M. Islam, Ümit Y. Ogras
Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic. CoRR (2020)
Sumit K. Mandal, Ganapati Bhat, Chetan Arvind Patil, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
Dynamic Resource Management of Heterogeneous Mobile Platforms via Imitation Learning. IEEE Trans. Very Large Scale Integr. Syst. 27 (12) (2019)
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Ujjwal Gupta, Sumit K. Mandal, Manqing Mao, Chaitali Chakrabarti, Ümit Y. Ogras
A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors. IEEE Comput. Archit. Lett. 18 (1) (2019)
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes. CoRR (2019)
Ganapati Bhat, Sumit K. Mandal, Ujjwal Gupta, Ümit Y. Ogras
Online learning for adaptive optimization of heterogeneous SoCs. ICCAD (2018)