According to our database1, Arpan Jain authored at least 21 papers between 2014 and 2021.
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OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems.
Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Accelerating CPU-based Distributed DNN Training on Modern HPC Clusters using BlueField-2 DPUs.
Proceedings of the IEEE Symposium on High-Performance Interconnects, 2021
Communication Profiling and Characterization of Deep-Learning Workloads on Clusters With High-Performance Interconnects.
IEEE Micro, 2020
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow.
Proceedings of the High Performance Computing - 35th International Conference, 2020
GEMS: GPU-enabled memory-aware model-parallelism system for distributed DNN training.
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020
A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets.
Neural Process. Lett., 2019
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow.
A 47nW, 0.7-3.6V wide Supply Range, Resistor Based Temperature Sensor for IoT Applications.
Proceedings of the 27th IFIP/IEEE International Conference on Very Large Scale Integration, 2019
Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on Frontera.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019
A High PSRR, Stable CMOS Current Reference using Process Insensitive TC of Resistance for Wide Temperature Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters.
Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019
Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
Voltage Level Adapter Design for High Voltage Swing Applications in CMOS Differential Amplifier.
Proceedings of the VLSI Design and Test - 22nd International Symposium, 2018
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018
CHATSEP: Critical heterogeneous adaptive threshold sensitive election protocol for Wireless Sensor Networks.
Proceedings of the 2014 International Conference on Advances in Computing, 2014