Subhankar Pal

562 citations

24 papers · 379 indexed · h-index 9

Impact in

Computational Mathematics top 5%
Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques

Papers in

Hardware and Architecture 14
- Parallel Computing and Optimization Techniques 14
- Embedded Systems Design Techniques 6
Computer Networks and Communications 14
- Interconnection Networks and Systems 10
- Advanced Data Storage Technologies 4

Co-authors: Ronald Dreslinski Siying Feng Aporva Amarnath Trevor Mudge Dong-Hyeon Park Chaitali Chakrabarti David Blaauw Hun-Seok Kim
Journals: IEEE Computer Architecture Letters (2 papers)IEEE Journal of Solid-State Circuits (2 papers)ACM Transactions on Embedded Computing Systems (1 paper)Edinburgh Research Explorer (2 papers)arXiv (Cornell University) (1 paper)
Partner nations: United States United Kingdom India

In The Last Decade

Subhankar Pal

23 papers receiving 372 citations

Peers

Countries citing papers authored by Subhankar Pal

Since Specialization

Citations

This map shows the geographic impact of Subhankar Pal'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 Subhankar Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhankar Pal more than expected).

Fields of papers citing papers by Subhankar Pal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhankar Pal. 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 Subhankar Pal. The network helps show where Subhankar Pal may publish in the future.

Co-authors

The 25 scholars most cited alongside Subhankar Pal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subhankar Pal Line = papers co-authored together Subhankar Pal links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	ARTEMIS: Agile Discovery of Efficient Real-Time Systems-on-Chips in the Heterogeneous Era Subhankar Pal, Aporva Amarnath, Priscila Vitória Paiva Dantas, Augusto Vega, Alper Buyuktosunoglu, John-David Wellman, Vijay Janapa Reddi, Pradip Bose	2025	2
2	Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms IEEE Computer Architecture Letters ·Yongmo Park, Subhankar Pal, Aporva Amarnath, Karthik Swaminathan, Wei Lü, Alper Buyuktosunoglu, Pradip Bose	2024	4
3	Versa: A 36-Core Systolic Multiprocessor With Dynamically Reconfigurable Interconnect and Memory IEEE Journal of Solid-State Circuits ·Sung Kim, S Fukuyama, Adijat Omowunmi Alade, Fares Jamal, Winer Antono, Subhankar Pal, J. M. Brumblay, Yan Xiong, Trevor Mudge, Chaitali Chakrabarti, David Blaauw, Ronald Dreslinski, Hun-Seok Kim	2022	5
4	xURLLC in 6G with meshed RAN arXiv (Cornell University) ·Mohammad Ali Khoshkholghi, Toktam Mahmoodi, Subhankar Pal, G. Massouras, Albab Huzaifa Sami, Seonan Choi	2022	2
5	OnSRAM: Efficient Inter-Node On-Chip Scratchpad Management in Deep Learning Accelerators ACM Transactions on Embedded Computing Systems ·Subhankar Pal, Swagath Venkataramani, V. Srinivasan, Kailash Gopalakrishnan	2022	4
6	Heterogeneity-Aware Scheduling on SoCs for Autonomous Vehicles IEEE Computer Architecture Letters ·Aporva Amarnath, Subhankar Pal, R Barbabela, Augusto Vega, Alper Buyuktosunoglu, Hubertus Franke, John-David Wellman, Ronald Dreslinski, Pradip Bose	2021	9
7	Efficient Management of Scratch-Pad Memories in Deep Learning Accelerators Subhankar Pal, Swagath Venkataramani, V. Srinivasan, Kailash Gopalakrishnan	2021	3
8	SparseAdapt: Runtime Control for Sparse Linear Algebra on a Reconfigurable Accelerator Edinburgh Research Explorer ·Subhankar Pal, Aporva Amarnath, Siying Feng, Michael O’Boyle, Ronald Dreslinski, Christophe Dubach	2021	11
9	A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix–Matrix Multiplication Accelerator IEEE Journal of Solid-State Circuits ·Dong-Hyeon Park, Subhankar Pal, Siying Feng, 杨有雯, Winer Antono, Austin Rovinski, Brain K. Davison, Sydney Whittington, Aporva Amarnath, Lijie Yang, Jonathan Beaumont, Fares Jamal, Chaitali Chakrabarti, Michael Taylor, Trevor Mudge, David Blaauw, Hun-Seok Kim, Ronald Dreslinski	2020	14
10	HETSIM: Simulating Large-Scale Heterogeneous Systems using a Trace-driven, Synchronization and Dependency-Aware Framework Edinburgh Research Explorer (University of Edinburgh) ·Subhankar Pal, Daniela Vilaça, Siying Feng, Björn Franke, Murray Cole, Michael O’Boyle, Trevor Mudge, Ronald Dreslinski	2020	1
11	Sparse-TPU Xin He, Subhankar Pal, Aporva Amarnath, Siying Feng, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Yuhan Chen, Ronald Dreslinski, Trevor Mudge	2020	62
12	Accelerating Linear Algebra Kernels on a Massively Parallel Reconfigurable Architecture Ali MahadMusallamAl-Mashani, Jianxin Zhou, Subhankar Pal, David Blaauw, 赵国银, Trevor Mudge, Ronald Dreslinski, Chaitali Chakrabarti	2020	3
13	Accelerating Deep Neural Network Computation on a Low Power Reconfigurable Architecture Yongqiang Xiong, Jianxin Zhou, Subhankar Pal, David Blaauw, John Dollahp, Trevor Mudge, Ronald Dreslinski, Chaitali Chakrabarti	2020	6
14	Transmuter Edinburgh Research Explorer ·Subhankar Pal, Siying Feng, Dong-Hyeon Park, Sung Hoon Kim, Aporva Amarnath, XU Tengteng, Xin He, Jonathan Beaumont, Lucie-Carolle Kenmogne, Yan Xiong, Daniela Vilaça, 良雄三浦, Jiawen Sun, Michael O’Boyle, Murray Cole, Chaitali Chakrabarti, David Blaauw, Hun-Seok Kim, Trevor Mudge, Ronald Dreslinski	2020	14
15	A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm Subhankar Pal, Dong-Hyeon Park, Siying Feng, Amey Mali, Winer Antono, Austin Rovinski, O J Gilmore, Sydney Whittington, Aporva Amarnath, Tomoto Kambayashi, Jonathan Beaumont, Fares Jamal, Chaitali Chakrabarti, Michael D. Taylor, Trevor Mudge, David Blaauw, Hun-Seok Kim, Ronald Dreslinski	2019	6
16	Parallelism Analysis of Prominent Desktop Applications: An 18- Year Perspective Siying Feng, Subhankar Pal, 源慶金, Ronald Dreslinski	2019	8
17	A carbon nanotube transistor based RISC-V processor using pass transistor logic Aporva Amarnath, Siying Feng, Subhankar Pal, J. M. Brumblay, Austin Rovinski, Ronald Dreslinski	2017	3
18	A New Design of an N-Bit Reversible Arithmetic Logic Unit Subhankar Pal, Chetan Vudadha, Şirin Zerey Koç, Sreehari Veeramachaneni, Д.О. Белов	2014	3
19	TSaaS — Customized telecom app hosting on cloud Subhankar Pal, Mara Medina	2011	2
20	Power Grid 2.0 - A journey from unified communication to unified grid Subhankar Pal	2009	2

About Subhankar Pal

Subhankar Pal is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, having authored 24 papers that have together received 379 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (10 papers), Embedded Systems Design Techniques (6 papers), Advanced Data Storage Technologies (4 papers), Graph Theory and Algorithms (3 papers), Advanced Memory and Neural Computing (3 papers), Low-power high-performance VLSI design (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computational Mathematics (22 citations), Hardware and Architecture (233 citations), Computer Networks and Communications (162 citations), Computer Vision and Pattern Recognition (126 citations) and Artificial Intelligence (95 citations). Subhankar Pal has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Ronald Dreslinski, Siying Feng, Aporva Amarnath, Trevor Mudge, Dong-Hyeon Park, Chaitali Chakrabarti, David Blaauw, Hun-Seok Kim, Jonathan Beaumont and Xin He. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Journal of Solid-State Circuits, ACM Transactions on Embedded Computing Systems, Edinburgh Research Explorer and arXiv (Cornell University).

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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