Grants per year
Personal profile
Education/Academic qualification
Computer Science, minor in Computer Science, PhD, Iowa State University
Aug 2006 → Aug 2009
Computer Science and Engineering, BTech, Indian Institute of Technology Roorkee
Aug 2002 → May 2006
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- 2 Similar Profiles
Statistical Significance
Mathematics
Data mining
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Pairwise
Mathematics
Sequence Alignment
Medicine & Life Sciences
Clustering algorithms
Engineering & Materials Science
Parallel algorithms
Engineering & Materials Science
Social Media
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2011 2021
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
BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, & Disseminate
Agrawal, A., Olson, G. B. & Voorhees, P. W.
2/15/17 → 1/31/20
Project: Research project
personnel
digital media
journalism
new media
assets
Scalable, In-situ Data Clustering Data Analysis for Extreme Scale Scientific Computing
Agrawal, A., Choudhary, A. N. & Liao, W.
8/1/15 → 7/31/19
Project: Research project
Natural sciences computing
Data storage equipment
Scalability
Statistics
SHF:Medium:Collaborative Research: Scalable Algorithms for Spatio-temporal Data Analysis
Agrawal, A., Choudhary, A. N. & Liao, W.
6/1/14 → 5/31/19
Project: Research project
Supercomputers
Colliding beam accelerators
Telescopes
Data mining
Sustainable development
Agrawal: Advanced Materials Center for Excellence: Center for Hierarchical Materials Design (ChiMaD)
National Institute of Standards and Technology
1/1/14 → 12/31/18
Project: Research project
Polymers
Metals
Flexible electronics
Polymer matrix composites
Industry
Research Output 2005 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