Arpan Jain

Orcid: 0000-0003-2522-8522

According to our database1, Arpan Jain authored at least 32 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
A Single-Point, Auto-Calibration Technique For PTAT/CTAT Resistance Based Current References.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
SAI: AI-Enabled Speech Assistant Interface for Science Gateways in HPC.
Proceedings of the High Performance Computing - 38th International Conference, 2023

A 7 nW, 1 kHz, -40-170°C Relaxation Oscillator with Switch-Leakage Compensation for Low-Power High-Temperature IoT Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A 162nW, 0.845pJ/step Resistance-to-Digital Converter for Miniature Battery-Powered Sensing Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs.
IEEE Micro, 2022

A 180<sup>o</sup> Phase Shift Biasing Technique for Realizing High PSRR in Low Power Temperature Sensors.
Proceedings of the 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems, 2022

"Hey CAI" - Conversational AI Enabled User Interface for HPC Tools.
Proceedings of the High Performance Computing - 37th International Conference, 2022

Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters.
Proceedings of the High Performance Computing - 37th International Conference, 2022

A 156pW Gate-Leakage Based Voltage/Current Reference for Low-Power IoT Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

AccDP: Accelerated Data-Parallel Distributed DNN Training for Modern GPU-Based HPC Clusters.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022


2021
INAM: Cross-stack Profiling and Analysis of Communication in MPI-based Applications.
Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

A 443pW Accumulation-Mode Gate-Leakage Based Bandgap Reference for IoT Applications.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

A 419pW Process-Invariant Temperature Sensor for Ultra-Low Power Microsystems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

SUPER: SUb-Graph Parallelism for TransformERs.
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

2020
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

A Sub-nW, 8T Current Reference Consuming Constant Power w.r.t Process & Temperature.
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

2019
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.
CoRR, 2019

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

2018
Voltage Level Adapter Design for High Voltage Swing Applications in CMOS Differential Amplifier.
Proceedings of the VLSI Design and Test - 22nd International Symposium, 2018

Application of Egyptian Vulture Optimization in Speech Emotion Recognition.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

2014
CHATSEP: Critical heterogeneous adaptive threshold sensitive election protocol for Wireless Sensor Networks.
Proceedings of the 2014 International Conference on Advances in Computing, 2014


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