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Dip Sankar Banerjee
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2020 – today
- 2024
- [c35]Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Fast Leiden Algorithm for Community Detection in Shared Memory Setting. ICPP 2024: 11-20 - [c34]Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Shared-Memory Parallel Algorithms for Community Detection in Dynamic Graphs. IPDPS (Workshops) 2024: 250-259 - [c33]Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Shared-Memory Parallel Dynamic Louvain Algorithm for Community Detection. IPDPS (Workshops) 2024: 1204-1205 - [c32]Ronith Kumar, Raman Deep, Dip Sankar Banerjee, Nipun Arora:
Voxelization of Moving Deformable Geometries on GPU. ISPDC 2024: 1-8 - 2023
- [j7]Divyansh Maura, Tanmay Goel, Kaustav Goswami, Dip Sankar Banerjee, Shirshendu Das:
Variation aware power management for GPU memories. Microprocess. Microsystems 96: 104711 (2023) - 2022
- [j6]Manan Sharma, Shivam Tiwari, Gaurav Ruhela, Suchetana Chakraborty, Dip Sankar Banerjee:
Deep unsupervised methods towards behavior analysis in ubiquitous sensor data. Internet Things 17: 100486 (2022) - [c31]Sourish Gunesh Dhekane, Shivam Tiwari, Manan Sharma, Dip Sankar Banerjee:
Enhanced Annotation Framework for Activity Recognition Through Change Point Detection. COMSNETS 2022: 397-405 - [c30]Mahima Agumbe Suresh, Dip Sankar Banerjee:
Compendium of Abstracts. HiPCW 2022: 61-78 - [c29]Rishabh Shukla, Nipun Arora, Dip Sankar Banerjee:
Voxelization of Moving Geometries on GPU. HPCC/DSS/SmartCity/DependSys 2022: 904-913 - [c28]Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Dynamic Batch Parallel Algorithms for Updating PageRank. IPDPS Workshops 2022: 1129-1138 - [c27]Chirayu Anant Haryan, G. Ramakrishna, Kishore Kothapalli, Dip Sankar Banerjee:
Shared-Memory Parallel Algorithms for Fully Dynamic Maintenance of 2-Connected Components. IPDPS 2022: 1195-1205 - [c26]Vishesh Mishra, Divy Pandey, Saurabh Singh, Sagar Satapathy, Kaustav Goswami, Babita Jajodia, Dip Sankar Banerjee:
ART-MAC: Approximate Rounding and Truncation based MAC Unit for Fault-Tolerant Applications. ISCAS 2022: 1640-1644 - [c25]Sagar Satapathy, Saurabh Singh, Kaustav Goswami, Vishesh Mishra, Divy Pandey, Dip Sankar Banerjee:
AxLEAP: Enabling Low-Power Approximations Through Unified Power Format. ISCAS 2022: 1645-1649 - [c24]Divy Pandey, Vishesh Mishra, Saurabh Singh, Sagar Satapathy, Babita Jajodia, Dip Sankar Banerjee:
HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications. ISQED 2022: 1-5 - [c23]Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Divy Pandey, Kaustav Goswami, Dip Sankar Banerjee, Babita Jajodia:
EFCSA: An Efficient Carry Speculative Approximate Adder with Rectification. ISQED 2022: 1-7 - [c22]Kaustav Goswami, Shirshendu Das, Sagar Satapathy, Dip Sankar Banerjee:
A Case for Amplifying Row Hammer Attacks via Cell-Coupling in DRAM Devices. MEMSYS 2022: 3:1-3:16 - [i5]Kaustav Goswami, Hemanta Kumar Mondal, Shirshendu Das, Dip Sankar Banerjee:
VAR-DRAM: Variation-Aware Framework for Efficient Dynamic Random Access Memory Design. CoRR abs/2201.06853 (2022) - 2021
- [j5]Shivam Tiwari, Sourish Gunesh Dhekane, Krishnam Vajra, Dip Sankar Banerjee:
Semi-supervised subject recognition in low-modal sensor data. Ad Hoc Networks 115: 102472 (2021) - [j4]Kaustav Goswami, Dip Sankar Banerjee, Shirshendu Das:
Towards Enhanced System Efficiency while Mitigating Row Hammer. ACM Trans. Archit. Code Optim. 18(4): 40:1-40:26 (2021) - [c21]Alish Kanani, Rajat Bhattacharjya, Dip Sankar Banerjee:
ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Computing at the Edge. EMBC 2021: 7566-7569 - [c20]Divy Pandey, Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Dip Sankar Banerjee:
SAM: A Segmentation Based Approximate Multiplier for Error Tolerant Applications. ISCAS 2021: 1-5 - [c19]Shobhit Belwal, Rajat Bhattacharjya, Kaustav Goswami, Dip Sankar Banerjee:
ACLA: An Approximate Carry-Lookahead Adder with Intelligent Carry Judgement and Correction. ISQED 2021: 1-7 - [c18]Tanmay Goel, Divyansh Maura, Kaustav Goswami, Shirshendu Das, Dip Sankar Banerjee:
Towards Row Sensitive DRAM Refresh through Retention Awareness. ISQED 2021: 450-456 - [i4]Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Adjusting PageRank parameters and Comparing results. CoRR abs/2108.02997 (2021) - [i3]Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Effect of stepwise adjustment of Damping factor upon PageRank. CoRR abs/2108.04150 (2021) - 2020
- [j3]Mridul Haque, Dip Sankar Banerjee:
Accelerating influence maximization using heterogeneous algorithms. J. Supercomput. 76(6): 4747-4769 (2020) - [c17]Sourish Gunesh Dhekane, Krishnam Vajra, Dip Sankar Banerjee:
Semi-supervised Subject Recognition through Pseudo Label Generation in Ubiquitous Sensor Data. COMSNETS 2020: 184-191 - [c16]Manan Sharma, Shivam Tiwari, Suchetana Chakraborty, Dip Sankar Banerjee:
Behavior Analysis through Routine Cluster Discovery in Ubiquitous Sensor Data. COMSNETS 2020: 267-274 - [c15]Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee:
An Approximate Carry Estimating Simultaneous Adder with Rectification. ACM Great Lakes Symposium on VLSI 2020: 139-144 - [c14]Hemant Kumar Giri, Mridul Haque, Dip Sankar Banerjee:
HyPR: Hybrid Page Ranking on Evolving Graphs. HiPC 2020: 62-71 - [i2]Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee:
An Approximate Carry Estimating Simultaneous Adder with Rectification. CoRR abs/2008.11591 (2020)
2010 – 2019
- 2019
- [c13]Nilotpola Sarma, Suchetana Chakraborty, Dip Sankar Banerjee:
Activity Recognition through Feature Learning and Annotations using LSTM. COMSNETS 2019: 444-447 - [c12]Nilotpola Sarma, Suchetana Chakraborty, Dip Sankar Banerjee:
Learning and Annotating Activities for Home Automation using LSTM. COMSNETS 2019: 631-636 - [c11]Kaustav Goswami, Hemanta Kumar Mondal, Shirshendu Das, Dip Sankar Banerjee:
State Preserving Dynamic DRAM Bank Re-Configurations for Enhanced Power Efficiency. ISQED 2019: 131-137 - 2018
- [c10]Mridul Haque, Dip Sankar Banerjee:
Enhancing Influence Maximization in Social Networks Using Parallel Reverse Reachability Set Computations. IC3 2018: 1-6 - 2017
- [c9]Mallipeddi Hardhik, Dip Sankar Banerjee, Kiran Raj Ramamoorthy, Kishore Kothapalli, Kannan Srinathan:
Nearly Balanced Work Partitioning for Heterogeneous Algorithms. ICPP 2017: 50-59 - 2016
- [c8]Dip Sankar Banerjee, Khaled Hamidouche, Dhabaleswar K. Panda:
Re-Designing CNTK Deep Learning Framework on Modern GPU Enabled Clusters. CloudCom 2016: 144-151 - [c7]Ching-Hsiang Chu, Khaled Hamidouche, Akshay Venkatesh, Dip Sankar Banerjee, Hari Subramoni, Dhabaleswar K. Panda:
Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems. IPDPS 2016: 983-992 - [c6]Dip Sankar Banerjee, Khaled Hamidouche, Dhabaleswar K. Panda:
Designing high performance communication runtime for GPU managed memory: early experiences. GPGPU@PPoPP 2016: 82-91 - 2015
- [j2]Dip Sankar Banerjee, Ashutosh Kumar, Meher Chaitanya, Shashank Sharma, Kishore Kothapalli:
Work efficient parallel algorithms for large graph exploration on emerging heterogeneous architectures. J. Parallel Distributed Comput. 76: 81-93 (2015) - [c5]Kiran Raj Ramamoorthy, Dip Sankar Banerjee, Kannan Srinathan, Kishore Kothapalli:
A Novel Heterogeneous Algorithm for Multiplying Scale-Free Sparse Matrices. IPDPS Workshops 2015: 637-646 - 2014
- [j1]Dip Sankar Banerjee, Parikshit Sakurikar, Kishore Kothapalli:
Comparison sorting on hybrid multicore architectures for fixed and variable length keys. Int. J. High Perform. Comput. Appl. 28(3): 267-284 (2014) - 2013
- [c4]Dip Sankar Banerjee, Shashank Sharma, Kishore Kothapalli:
Work efficient parallel algorithms for large graph exploration. HiPC 2013: 433-442 - [c3]Dip Sankar Banerjee, Parikshit Sakurikar, Kishore Kothapalli:
Fast, Scalable Parallel Comparison Sort on Hybrid Multicore Architectures. IPDPS Workshops 2013: 1060-1069 - [i1]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, Aditya Deshpande, Ishan Misra, Siddharth Choudhary, Shubham Gupta:
CPU and/or GPU: Revisiting the GPU Vs. CPU Myth. CoRR abs/1303.2171 (2013) - 2012
- [c2]Dip Sankar Banerjee, Aman Kumar Bahl, Kishore Kothapalli:
An On-Demand Fast Parallel Pseudo Random Number Generator with Applications. IPDPS Workshops 2012: 1703-1711 - 2011
- [c1]Dip Sankar Banerjee, Kishore Kothapalli:
Hybrid algorithms for list ranking and graph connected components. HiPC 2011: 1-10
Coauthor Index
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last updated on 2024-10-31 20:12 CET by the dblp team
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