Sumit K. Mandal

539 total citations
31 papers, 310 citations indexed

About

Sumit K. Mandal is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Sumit K. Mandal has authored 31 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 9 papers in Hardware and Architecture. Recurrent topics in Sumit K. Mandal's work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Parallel Computing and Optimization Techniques (7 papers). Sumit K. Mandal is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Parallel Computing and Optimization Techniques (7 papers). Sumit K. Mandal collaborates with scholars based in United States, India and United Kingdom. Sumit K. Mandal's co-authors include Ümit Y. Ogras, Chaitali Chakrabarti, Gokul Krishnan, Yu Cao, Jae-sun Seo, Raid Ayoub, Michael Kishinevsky, Partha Pratim Pande, Janardhan Rao Doppa and Sudeep Pasricha and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Electronics.

In The Last Decade

Sumit K. Mandal

28 papers receiving 302 citations

Peers

Countries citing papers authored by Sumit K. Mandal

Since Specialization

Citations

This map shows the geographic impact of Sumit K. Mandal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sumit K. Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit K. Mandal more than expected).

Fields of papers citing papers by Sumit K. Mandal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumit K. Mandal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sumit K. Mandal. The network helps show where Sumit K. Mandal may publish in the future.

Co-authorship network of co-authors of Sumit K. Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit K. Mandal. A scholar is included among the top collaborators of Sumit K. Mandal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sumit K. Mandal. Sumit K. Mandal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Interconnect Performance Estimation for ML Accelerators via Lightweight Analytical Model 2025 ·(unknown), Sumit K. Mandal	0
2	Exploiting 2.5D/3D Heterogeneous Integration for AI Computing 2024 ·Zhenyu Wang, Jingbo Sun, (unknown), Sumit K. Mandal, (unknown), Jae-sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Jeff Zhang, (unknown)	7
3	HALO: Communication-Aware Heterogeneous 2.5-D System for Energy-Efficient LLM Execution at Edge 2024 ·IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·(unknown), (unknown), (unknown), K. V. Adarsh, (unknown), Biresh Kumar Joardar, Sumit K. Mandal	4
4	A Lightweight Congestion Control Technique for NoCs with Deflection Routing 2023 ·(unknown), Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras	0
5	Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures 2023 ·(unknown), Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande	5
6	Fast Performance Analysis for NoCs With Weighted Round-Robin Arbitration and Finite Buffers 2023 ·IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Sumit K. Mandal, (unknown), Raid Ayoub, Michael Kishinevsky, (unknown), Ümit Y. Ogras	3
7	ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training 2023 ·IEEE Design and Test ·(unknown), (unknown), (unknown), John Jose, Sumit K. Mandal	0
8	Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling 2023 ·Zhenyu Wang, Jingbo Sun, (unknown), Sumit K. Mandal, Jae-sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Yu Cao	2
9	Big-Little Chiplets for In-Memory Acceleration of DNNs 2022 ·Gokul Krishnan, (unknown), Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao	4
10	SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator 2022 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·(unknown), Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande	13
11	COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks 2022 ·IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Sumit K. Mandal, Gokul Krishnan, (unknown), (unknown), Yu Cao, Ümit Y. Ogras	9
12	AI Computing in Light of 2.5D Interconnect Roadmap: Big-Little Chiplets for In-memory Acceleration 2022 ·2022 International Electron Devices Meeting (IEDM) ·Zhenyu Wang, (unknown), Gokul Krishnan, Sumit K. Mandal, (unknown), Jae-sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Yu Cao	7
13	System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration 2021 ·Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao	1
14	Determining Mechanical Stress Testing Parameters for FHE Designs with Low Computational Overhead 2020 ·IEEE Design and Test ·Ganapati Bhat, (unknown), Sumit K. Mandal, Ümit Y. Ogras, Sule Ozev	2
15	Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs 2020 ·IEEE Design and Test ·Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao	25
16	Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems 2020 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·(unknown), (unknown), (unknown), Sumit K. Mandal, Ümit Y. Ogras, (unknown), Radu Mărculescu	25
17	Front–End Architecture Design for Low-Complexity 3-D Ultrasound Imaging Based on Synthetic Aperture Sequential Beamforming 2020 ·IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Jian Zhou, Sumit K. Mandal, (unknown), Siyuan Wei, Ümit Y. Ogras, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti	1
18	A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors 2019 ·IEEE Computer Architecture Letters ·(unknown), Sumit K. Mandal, (unknown), Chaitali Chakrabarti, Ümit Y. Ogras	43
19	Online learning for adaptive optimization of heterogeneous SoCs 2018 ·Ganapati Bhat, Sumit K. Mandal, (unknown), Ümit Y. Ogras	5
20	Performance Analysis of Six-Phase Induction Motor 2015 ·Sumit K. Mandal	10

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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