Grants per year
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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- 5 Similar Profiles
Data storage equipment
Engineering & Materials Science
Data mining
Engineering & Materials Science
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2001 2023
Alok Choudhary Subproject for CHiMaD
National Institute of Standards and Technology
1/1/19 → 12/31/23
Project: Research project
Industrial applications
Artificial intelligence
Learning systems
Costs
Genes
PROTEUS: Machine Learning Driven Resilience for Extreme-scale Systems
Agrawal, A., Choudhary, A. N. & Liao, W.
9/1/18 → 8/31/21
Project: Research project
Learning systems
Data storage equipment
Costs
Scalability
Software engineering
High-performance I/O Research, Development, and Deployment for DataLib
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
1/30/18 → 9/30/19
Project: Research project
Alok Choudhary-Joint NU/Argonne Appointment (AMASE Project)
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
1/1/18 → 8/31/19
Project: Research project
ML/DL and I/O Research, Development, and Deployment for RAPIDS
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
11/15/17 → 11/14/20
Project: Research project
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 proceeding › Conference contribution
Neural networks
Communication
Supercomputers
Synchronization
Costs
1
Citation
(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 journal › Article
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 proceeding › Conference contribution
Supercomputers
Computer systems
Agglomeration
1
Citation
(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 journal › Article
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 proceeding › Conference contribution
Electric sparks
Parallel algorithms
Scalability
Merging
Processing