Hybrid algorithms for list ranking and graph connected components. - Dip Sankar Banerjee; Kishore Kothapalli (HiPC, 2011)

An On-Demand Fast Parallel Pseudo Random Number Generator with Applications. - Dip Sankar Banerjee; Aman Kumar Bahl; Kishore Kothapalli (IPDPS Workshops, 2012)

Work efficient parallel algorithms for large graph exploration. - Dip Sankar Banerjee; Shashank Sharma; Kishore Kothapalli (HiPC, 2013)

Fast, Scalable Parallel Comparison Sort on Hybrid Multicore Architectures. - Dip Sankar Banerjee; Parikshit Sakurikar; Kishore Kothapalli (IPDPS Workshops, 2013)

CPU and/or GPU: Revisiting the GPU Vs. CPU Myth - Kishore Kothapalli; Dip Sankar Banerjee; P. J. Narayanan; Surinder Sood; Aman Kumar Bahl; Shashank Sharma; Shrenik Lad; Krishna Kumar Singh; Kiran Kumar Matam; Sivaramakrishna Bharadwaj; Rohit Nigam; Parikshit Sakurikar; et al. (CoRR, 2013)

Comparison sorting on hybrid multicore architectures for fixed and variable length keys. - Dip Sankar Banerjee; Parikshit Sakurikar; Kishore Kothapalli (Int. J. High Perform. Comput. Appl., 2014)

A Novel Heterogeneous Algorithm for Multiplying Scale-Free Sparse Matrices. - Kiran Raj Ramamoorthy; Dip Sankar Banerjee; Kannan Srinathan; Kishore Kothapalli (IPDPS Workshops, 2015)

Work efficient parallel algorithms for large graph exploration on emerging heterogeneous architectures. - Dip Sankar Banerjee; Ashutosh Kumar 002; Meher Chaitanya; Shashank Sharma; Kishore Kothapalli (J. Parallel Distributed Comput., 2015)

Re-Designing CNTK Deep Learning Framework on Modern GPU Enabled Clusters. - Dip Sankar Banerjee; Khaled Hamidouche; Dhabaleswar K. Panda 001 (CloudCom, 2016)

Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems. - Ching-Hsiang Chu; Khaled Hamidouche; Akshay Venkatesh; Dip Sankar Banerjee; Hari Subramoni; Dhabaleswar K. Panda 001 (IPDPS, 2016)

Designing high performance communication runtime for GPU managed memory: early experiences. - Dip Sankar Banerjee; Khaled Hamidouche; Dhabaleswar K. Panda 001 (GPGPU@PPoPP, 2016)

Nearly Balanced Work Partitioning for Heterogeneous Algorithms. - Mallipeddi Hardhik; Dip Sankar Banerjee; Kiran Raj Ramamoorthy; Kishore Kothapalli; Kannan Srinathan (ICPP, 2017)

Enhancing Influence Maximization in Social Networks Using Parallel Reverse Reachability Set Computations. - Mridul Haque; Dip Sankar Banerjee (IC3, 2018)

Activity Recognition through Feature Learning and Annotations using LSTM. - Nilotpola Sarma; Suchetana Chakraborty; Dip Sankar Banerjee (COMSNETS, 2019)

Learning and Annotating Activities for Home Automation using LSTM. - Nilotpola Sarma; Suchetana Chakraborty; Dip Sankar Banerjee (COMSNETS, 2019)

State Preserving Dynamic DRAM Bank Re-Configurations for Enhanced Power Efficiency. - Kaustav Goswami 002; Hemanta Kumar Mondal; Shirshendu Das; Dip Sankar Banerjee (ISQED, 2019)

Semi-supervised Subject Recognition through Pseudo Label Generation in Ubiquitous Sensor Data. - Sourish Gunesh Dhekane; Krishnam Vajra; Dip Sankar Banerjee (COMSNETS, 2020)

Behavior Analysis through Routine Cluster Discovery in Ubiquitous Sensor Data. - Manan Sharma; Shivam Tiwari; Suchetana Chakraborty; Dip Sankar Banerjee (COMSNETS, 2020)

An Approximate Carry Estimating Simultaneous Adder with Rectification. - Rajat Bhattacharjya; Vishesh Mishra; Saurabh Singh; Kaustav Goswami 002; Dip Sankar Banerjee (ACM Great Lakes Symposium on VLSI, 2020)

HyPR: Hybrid Page Ranking on Evolving Graphs. - Hemant Kumar Giri; Mridul Haque; Dip Sankar Banerjee (HiPC, 2020)

Accelerating influence maximization using heterogeneous algorithms. - Mridul Haque; Dip Sankar Banerjee (J. Supercomput., 2020)

ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Computing at the Edge. - Alish Kanani; Rajat Bhattacharjya; Dip Sankar Banerjee (EMBC, 2021)

SAM: A Segmentation Based Approximate Multiplier for Error Tolerant Applications. - Divy Pandey; Saurabh Singh; Vishesh Mishra; Sagar Satapathy; Dip Sankar Banerjee (ISCAS, 2021)

ACLA: An Approximate Carry-Lookahead Adder with Intelligent Carry Judgement and Correction. - Shobhit Belwal; Rajat Bhattacharjya; Kaustav Goswami 002; Dip Sankar Banerjee (ISQED, 2021)

Towards Row Sensitive DRAM Refresh through Retention Awareness. - Tanmay Goel; Divyansh Maura; Kaustav Goswami 002; Shirshendu Das; Dip Sankar Banerjee (ISQED, 2021)

Semi-supervised subject recognition in low-modal sensor data. - Shivam Tiwari; Sourish Gunesh Dhekane; Krishnam Vajra; Dip Sankar Banerjee (Ad Hoc Networks, 2021)

Adjusting PageRank parameters and Comparing results. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (CoRR, 2021)

Effect of stepwise adjustment of Damping factor upon PageRank. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (CoRR, 2021)

Towards Enhanced System Efficiency while Mitigating Row Hammer. - Kaustav Goswami 002; Dip Sankar Banerjee; Shirshendu Das (ACM Trans. Archit. Code Optim., 2021)

Enhanced Annotation Framework for Activity Recognition Through Change Point Detection. - Sourish Gunesh Dhekane; Shivam Tiwari; Manan Sharma; Dip Sankar Banerjee (COMSNETS, 2022)

Compendium of Abstracts. - Mahima Agumbe Suresh; Dip Sankar Banerjee (HiPCW, 2022)

Voxelization of Moving Geometries on GPU. - Rishabh Shukla; Nipun Arora; Dip Sankar Banerjee (HPCC/DSS/SmartCity/DependSys, 2022)

Shared-Memory Parallel Algorithms for Fully Dynamic Maintenance of 2-Connected Components. - Chirayu Anant Haryan; G. Ramakrishna; Kishore Kothapalli; Dip Sankar Banerjee (IPDPS, 2022)

Dynamic Batch Parallel Algorithms for Updating PageRank. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (IPDPS Workshops, 2022)

ART-MAC: Approximate Rounding and Truncation based MAC Unit for Fault-Tolerant Applications. - Vishesh Mishra; Divy Pandey; Saurabh Singh; Sagar Satapathy; Kaustav Goswami 002; Babita Jajodia; Dip Sankar Banerjee (ISCAS, 2022)

AxLEAP: Enabling Low-Power Approximations Through Unified Power Format. - Sagar Satapathy; Saurabh Singh; Kaustav Goswami 002; Vishesh Mishra; Divy Pandey; Dip Sankar Banerjee (ISCAS, 2022)

HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications. - Divy Pandey; Vishesh Mishra; Saurabh Singh; Sagar Satapathy; Babita Jajodia; Dip Sankar Banerjee (ISQED, 2022)

EFCSA: An Efficient Carry Speculative Approximate Adder with Rectification. - Saurabh Singh; Vishesh Mishra; Sagar Satapathy; Divy Pandey; Kaustav Goswami 002; Dip Sankar Banerjee; Babita Jajodia (ISQED, 2022)

A Case for Amplifying Row Hammer Attacks via Cell-Coupling in DRAM Devices. - Kaustav Goswami 002; Shirshendu Das; Sagar Satapathy; Dip Sankar Banerjee (MEMSYS, 2022)

VAR-DRAM: Variation-Aware Framework for Efficient Dynamic Random Access Memory Design. - Kaustav Goswami 002; Hemanta Kumar Mondal; Shirshendu Das; Dip Sankar Banerjee (CoRR, 2022)

Deep unsupervised methods towards behavior analysis in ubiquitous sensor data. - Manan Sharma; Shivam Tiwari; Gaurav Ruhela; Suchetana Chakraborty; Dip Sankar Banerjee (Internet Things, 2022)

Variation aware power management for GPU memories. - Divyansh Maura; Tanmay Goel; Kaustav Goswami 002; Dip Sankar Banerjee; Shirshendu Das (Microprocess. Microsystems, 2023)

GVE-LPA: Fast Label Propagation Algorithm (LPA) for Community Detection in the Shared Memory Setting. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (Euro-Par Workshops (2), 2024)

Impact of Constraint Modifications on the CRYSTALS-Kyber Hardware Design. - Dixit Dutt Bohra; Dip Sankar Banerjee; Somitra Sanadhya (HIPCW, 2024)

Efficient Parallel Algorithms For Exact SimRank Computations. - Aditya Mundhara; Prajjwal Nijhara; Dip Sankar Banerjee (HIPCW, 2024)

Parallel Katz Centrality On Evolving Graphs. - Dishit Sharma; Prajjwal Nijhara; Dip Sankar Banerjee (HIPCW, 2024)

Fast MIS on Incremental Graphs. - Aditya Trivedi; Prajjwal Nijhara; Dip Sankar Banerjee (HIPCW, 2024)

SimRank on Data Streams. - Dhyan Yajnik; Huzefa Aiyub Ansari; Prajjwal Nijhara; Dip Sankar Banerjee (HIPCW, 2024)

MST in Incremental Graphs Through Tree Contractions. - Akanksha Dwivedi; Sameer Sharma; Dip Sankar Banerjee (HPEC, 2024)

Fast Leiden Algorithm for Community Detection in Shared Memory Setting. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (ICPP, 2024)

Shared-Memory Parallel Algorithms for Community Detection in Dynamic Graphs. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (IPDPS (Workshops), 2024)

Shared-Memory Parallel Dynamic Louvain Algorithm for Community Detection. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (IPDPS (Workshops), 2024)

Voxelization of Moving Deformable Geometries on GPU. - Ronith Kumar; Raman Deep; Dip Sankar Banerjee; Nipun Arora (ISPDC, 2024)

SideLink: Exposing NVLink to Covert and Side-Channel Attacks Official Work-in-Progress Paper. - Issa Baddour; Dip Sankar Banerjee; Somitra Kumar Sanadhya (SPACE, 2024)

External GPU Biconnected Components. - Abhijeet Sahu; Andaluri S. P. V. M. Aditya; G. Ramakrishna; Malleti Sai Nikhil; Kishore Kothapalli; Dip Sankar Banerjee (Euro-Par (3), 2025)

DAPP: Delay Aware Power Prediction. - Sagar Satapathy; Dip Sankar Banerjee (ISQED, 2025)

Sparse-Aware NTT: Accelerating Lattice-Based Cryptography on FPGAs. - Dixit Dutt Bohra; Dip Sankar Banerjee; Somitra Sanadhya (ISVLSI, 2025)

Fast Katz Centrality on Dynamic Graphs. - Prajjwal Nijhara; Dishit Sharma; Dip Sankar Banerjee (PDP, 2025)

Fast Maximal Independent Sets on Dynamic Graphs. - Prajjwal Nijhara; Aditya Trivedi; Dip Sankar Banerjee (PDP, 2025)

Parallel Multicore Algorithms for Community Detection in Dynamic Graphs. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (Int. J. Netw. Comput., 2025)

GATOR: A Graph Neural Network based Design Anomaly Predictor. - Sagar Satapathy; Dip Sankar Banerjee (Integr., 2025)

GVE-LPA and GSL-LPA: High-speed and internally-connected label propagation on multicore systems. - Subhajit Sahu; Kishore Kothapalli; Dip Sankar Banerjee (Future Gener. Comput. Syst., 2026)