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ORCIDBayyapu Neelima
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- affiliation: NMAM Institute of Technology, Nitte, India
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Journal Articles
- 2018
[j5]Sharath Yaji, B. Neelima:
Parallel computing for preserving privacy using k-anonymisation algorithms from big data. Int. J. Big Data Intell. 5(3): 191-200 (2018)- 2017
- [j4]B. Neelima
, Bharath Shamsundar, Anjjan Narayan, Rithesh Prabhu, Crystal Gomes:
Kepler GPU accelerated recursive sorting using dynamic parallelism. Concurr. Comput. Pract. Exp. 29(4) (2017) - [j3]B. Neelima:
High Performance Computing education in an Indian engineering institute. J. Parallel Distributed Comput. 105: 73-82 (2017) - 2015
- [j2]B. Neelima, G. Ram Mohana Reddy, Prakash S. Raghavendra:
Communication and computation optimization of concurrent kernels using kernel coalesce on a GPU. Concurr. Comput. Pract. Exp. 27(1): 47-68 (2015) - 2012
- [j1]Neelima Reddy, Raghavendra Prakash, Ram Mohana Reddy:
New Sparse Matrix Storage Format to Improve The Performance of Total SPMV Time. Scalable Comput. Pract. Exp. 13(2) (2012)
Conference and Workshop Papers
- 2022
- [c8]Sharath Yaji, Bayyapu Neelima:
Reinforcement Technique for Classifying Quasi and Non-quasi Attributes for Privacy Preservation and Data Protection. ATIS 2022: 3-17 - [c7]Bayyapu Neelima:
PDC Course Development and Assessment Process for the betterment of Teaching-Learning Process. HiPCW 2022: 12-19 - 2018
- [c6]Sharath Yaji, B. Neelima:
Privacy preserving through aggregating wave equation as noise in differential privacy. DSIT 2018: 122-127 - [c5]Sharath Yaji, Kajal Bangera, B. Neelima:
Privacy Preserving in Blockchain Based on Partial Homomorphic Encryption System for Ai Applications. HiPC Workshops 2018: 81-85 - 2016
- [c4]Sourabh S. Shenoy, U. Supriya Nayak, Bayyapu Neelima:
SWIFT-A Performance Accelerated Optimized String Matching Algorithm for Nvidia GPUs. ISPDC 2016: 80-87 - 2015
- [c3]B. Neelima, Jiajia Li:
Introducing high performance computing concepts into engineering undergraduate curriculum: a success story. EduHPC@SC 2015: 6:1-6:8 - 2014
- [c2]B. Neelima, G. Ram Mohana Reddy, Prakash S. Raghavendra:
Predicting an Optimal Sparse Matrix Format for SpMV Computation on GPU. IPDPS Workshops 2014: 1427-1436 - [c1]B. Neelima, G. Ram Mohana Reddy, Prakash S. Raghavendra:
A GPU Framework for Sparse Matrix Vector Multiplication. ISPDC 2014: 51-58
Coauthor Index
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