Alok Nidhi Choudhary

  • 8009 Citations
1987 …2023
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Personal profile

Education/Academic qualification

Computer Engineering (ECE Department), PhD, Uniersity of Illinois

… → 1989

Computer Engineering (ECE Department), MS, University of Massachusetts

… → 1986

Electrical and Electronics Engineering, BE, Birla Institute of Technology and Science Pilani

… → 1982

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Data storage equipment Engineering & Materials Science
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Communication Engineering & Materials Science
Servers Engineering & Materials Science
Field programmable gate arrays (FPGA) Engineering & Materials Science
Learning systems Engineering & Materials Science
High Performance Mathematics
Parallel I/O Mathematics

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Grants 2001 2023

Industrial applications
Artificial intelligence
Learning systems
Costs
Genes
Learning systems
Data storage equipment
Costs
Scalability
Software engineering
Data storage equipment
Parallel processing systems
Deep learning

Research Output 1987 2019

Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training

Lee, S., Agrawal, A., Balaprakash, P., Choudhary, A. N. & Liao, W-K., Feb 8 2019, Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 47-56 10 p. 8638635. (Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Communication
Supercomputers
Synchronization
Costs
3 Citations (Scopus)

Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

Yang, Z., Yabansu, Y. C., Jha, D., Liao, W-K., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., Mar 1 2019, In : Acta Materialia. 166, p. 335-345 11 p.

Research output: Contribution to journalArticle

Elastic deformation
Composite materials
Microstructure
Materials science
Learning systems

Integration of burst buffer in high-level parallel I/O library for exa-scale computing era

Hou, K., Al-Bahrani, R., Rangel, E., Agrawal, A., Latham, R., Ross, R., Choudhary, A. N. & Liao, W-K., Feb 8 2019, Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 1-12 12 p. 8638428. (Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supercomputers
Computer systems
Agglomeration
2 Citations (Scopus)

Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation

Paul, A., Acar, P., Liao, W-K., Choudhary, A. N., Sundararaghavan, V. & Agrawal, A., Apr 1 2019, In : Computational Materials Science. 160, p. 334-351 18 p.

Research output: Contribution to journalArticle

machine learning
Learning systems
Microstructure
Machine Learning
Feedback

Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation

Han, D., Agrawal, A., Liao, W-K. & Choudhary, A. N., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 305-312 8 p. 8622258. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electric sparks
Parallel algorithms
Scalability
Merging
Processing