IEEE Micro, 2020

A. A. Awan, A. Jain, C. Chu, H. Subramoni and D. K. Panda, Communication Profiling and Characterization of Deep-Learning Workloads on Clusters With High-Performance Interconnects, in IEEE Micro, vol. 40, no. 1, pp. 35-43, 1 Jan.-Feb. 2020, doi: 10.1109/MM.2019.2949986.

Neural Processing Letters, 2019

Jain, A., Mishra, A., Shukla, A. et al. A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign DatasetsNeural Process Lett 50, 3019–3043 (2019).


Conferences & Workshops

IPDPS, 2021

A. Jain, T. Moon, T. Benson, H. Subramoni, S. Jacobs, D. Panda, B. Essen, SUPER: SUb-Graph Parallelism for TransformERs, 35th IEEE International Parallel & Distributed Processing Symposium, May 2021.

SuperComputing, 2020

A. Jain, A. Awan, A. Aljuhani, J. Hashmi, Q. Anthony, H. Subramoni, D. Panda, R. Machiraju, A. Parwani, GEMS: GPU Enabled Memory Aware Model Parallelism System for Distributed DNN Training, in SC 2020

ISC, 2020

A. Jain, A. Awan, Q. Anthony, H. Subramoni, D. Panda, HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow. In: Sadayappan P., Chamberlain B., Juckeland G., Ltaief H. (eds) High Performance Computing. ISC High Performance 2020. Lecture Notes in Computer Science, vol 12151. Springer, Cham

ScaDL at IPDPS, 2020

Q. Anthony, A. A. Awan, A. Jain, H. Subramoni and D. K. D. Panda, “Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR,” 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), New Orleans, LA, USA, 2020, pp. 1015-1023, doi: 10.1109/IPDPSW50202.2020.00171.

HiPC, 2020

P. Kousha et al., “Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters,” 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC), Hyderabad, India, 2019, pp. 93-102, doi: 10.1109/HiPC.2019.00022.

DLS at SuperComputing, 2019

A. Jain, A. A. Awan, H. Subramoni and D. K. Panda, “Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on Frontera,” 2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS), Denver, CO, USA, 2019, pp. 76-83, doi: 10.1109/DLS49591.2019.00015.

Cluster, 2019

A. Jain, A. A. Awan, Q. Anthony, H. Subramoni and D. K. D. Panda, “Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters,” 2019 IEEE International Conference on Cluster Computing (CLUSTER), Albuquerque, NM, USA, 2019, pp. 1-11, doi: 10.1109/CLUSTER.2019.8891042.

HOTI, 2019

A. A. Awan, A. Jain, C. Chu, H. Subramoni and D. K. Panda, “Communication Profiling and Characterization of Deep Learning Workloads on Clusters with High-Performance Interconnects,” 2019 IEEE Symposium on High-Performance Interconnects (HOTI), Santa Clara, CA, USA, 2019, pp. 49-53, doi: 10.1109/HOTI.2019.00025.

Advances in Intelligent Systems and Computing, 2018

Jain A., Singh A., Shukla A. (2019) Vowel Onset Point Detection in Hindi Language Using Long Short-Term Memory. In: Satapathy S., Bhateja V., Somanah R., Yang XS., Senkerik R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 862. Springer, Singapore.

SLTU, 2018

Sahu, S., Jain, A., Tiwari, R., Shukla, A. (2018) Application of Egyptian Vulture Optimization in Speech Emotion Recognition. Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 230-234, DOI: 10.21437/SLTU.2018-48.