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Arpan Jain
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2020 – today
- 2024
- [c29]Arpan Jain, Ashfakh Ali, Dheekshith Akula, Abhishek Pullela, Zia Abbas:
A Single-Point, Auto-Calibration Technique For PTAT/CTAT Resistance Based Current References. ISCAS 2024: 1-5 - 2023
- [c28]Arnab Dey, Inhee Lee, Ashfakh Ali, Arpan Jain, Abhishek Pullela, Zia Abbas:
A 162nW, 0.845pJ/step Resistance-to-Digital Converter for Miniature Battery-Powered Sensing Systems. ISCAS 2023: 1-5 - [c27]Ashfakh Huluvallay, Abhishek Pullela, Ehab A. Hamed, Arpan Jain, Naveen Dasari, Zia Abbas, Inhee Lee:
A 7 nW, 1 kHz, -40-170°C Relaxation Oscillator with Switch-Leakage Compensation for Low-Power High-Temperature IoT Systems. ISCAS 2023: 1-5 - [c26]Pouya Kousha
, Arpan Jain, Ayyappa Kolli, Matthew Lieber, Mingzhe Han, Nicholas Contini, Hari Subramoni, Dhabaleswar K. Panda:
SAI: AI-Enabled Speech Assistant Interface for Science Gateways in HPC. ISC 2023: 402-424 - 2022
- [j3]Arpan Jain
, Nawras Alnaasan
, Aamir Shafi
, Hari Subramoni
, Dhabaleswar K. Panda:
Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs. IEEE Micro 42(2): 53-60 (2022) - [c25]Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine J. Cahill, Ramon Canal, Jany Chan
, Eric Fosler-Lussier, Fritz Göbel, Arpan Jain, Marcel Koch, Mateusz Kuzak, Josep Llosa, Raghu Machiraju, Xavier Martorell, Pratik Nayak, Shameema Oottikkal, Marcin Ostasz, Dhabaleswar K. Panda, Dirk Pleiter, Rajiv Ramnath, Maria-Ribera Sancho, Alessio Sclocco, Aamir Shafi, Hanno Spreeuw, Hari Subramoni, Karen Tomko
:
Lightning Talks of EduHPC 2022. EduHPC@SC 2022: 42-49 - [c24]Nawras Alnaasan
, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
AccDP: Accelerated Data-Parallel Distributed DNN Training for Modern GPU-Based HPC Clusters. HIPC 2022: 32-41 - [c23]Nawras Alnaasan
, Arpan Jain, Aamir Shafi
, Hari Subramoni, Dhabaleswar K. Panda:
OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems. IPDPS Workshops 2022: 870-879 - [c22]Abhishek Pullela, Ashfakh Ali, Arpan Jain, Inhee Lee, Zia Abbas:
A 156pW Gate-Leakage Based Voltage/Current Reference for Low-Power IoT Systems. ISCAS 2022: 1923-1927 - [c21]Pouya Kousha
, Arpan Jain, Ayyappa Kolli, Prasanna Sainath, Hari Subramoni
, Aamir Shafi
, Dhabaleswar K. Panda:
"Hey CAI" - Conversational AI Enabled User Interface for HPC Tools. ISC 2022: 87-108 - [c20]Arpan Jain, Aamir Shafi
, Quentin Anthony, Pouya Kousha
, Hari Subramoni, Dhabaleswar K. Panda:
Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters. ISC 2022: 109-130 - [c19]Arpan Jain, Abhishek Pullela, Ashfakh Ali, Zia Abbas:
A 180o Phase Shift Biasing Technique for Realizing High PSRR in Low Power Temperature Sensors. VLSID 2022: 33-38 - 2021
- [c18]Arpan Jain, Nawras Alnaasan
, Aamir Shafi
, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating CPU-based Distributed DNN Training on Modern HPC Clusters using BlueField-2 DPUs. HOTI 2021: 17-24 - [c17]Arpan Jain, Tim Moon, Tom Benson, Hari Subramoni, Sam Adé Jacobs, Dhabaleswar K. Panda, Brian Van Essen:
SUPER: SUb-Graph Parallelism for TransformERs. IPDPS 2021: 629-638 - [c16]Abhishek Pullela, Ashfakh Ali, Arpan Jain, Adithya Banthi, Zia Abbas
:
A 419pW Process-Invariant Temperature Sensor for Ultra-Low Power Microsystems. ISCAS 2021: 1-5 - [c15]Abhishek Pullela, Ashfakh Ali, Sushanth Reddy, Arpan Jain, Zia Abbas:
A 443pW Accumulation-Mode Gate-Leakage Based Bandgap Reference for IoT Applications. MWSCAS 2021: 986-989 - [c14]Pouya Kousha
, Kamal Raj Sankarapandian Dayala Ganesh Ram, Mansa Kedia, Hari Subramoni
, Arpan Jain, Aamir Shafi
, Dhabaleswar K. Panda, Trey Dockendorf, Heechang Na, Karen Tomko
:
INAM: Cross-stack Profiling and Analysis of Communication in MPI-based Applications. PEARC 2021: 14:1-14:11 - [i2]Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems. CoRR abs/2110.10659 (2021) - 2020
- [j2]Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu
, Hari Subramoni, Dhabaleswar K. Panda:
Communication Profiling and Characterization of Deep-Learning Workloads on Clusters With High-Performance Interconnects. IEEE Micro 40(1): 35-43 (2020) - [c13]Quentin Anthony, Ammar Ahmad Awan, Arpan Jain, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR. IPDPS Workshops 2020: 1015-1023 - [c12]Ashfakh Ali, Abhishek Pullela, Arpan Jain, Zia Abbas
:
A Sub-nW, 8T Current Reference Consuming Constant Power w.r.t Process & Temperature. MWSCAS 2020: 730-733 - [c11]Arpan Jain, Ammar Ahmad Awan, Asmaa M. Aljuhani, Jahanzeb Maqbool Hashmi, Quentin G. Anthony, Hari Subramoni, Dhabaleswar K. Panda, Raghu Machiraju, Anil Parwani:
GEMS: GPU-enabled memory-aware model-parallelism system for distributed DNN training. SC 2020: 45 - [c10]Ammar Ahmad Awan, Arpan Jain, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow. ISC 2020: 83-103
2010 – 2019
- 2019
- [j1]Arpan Jain, Apoorva Mishra
, Anupam Shukla, Ritu Tiwari:
A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets. Neural Process. Lett. 50(3): 3019-3043 (2019) - [c9]Arpan Jain, Ammar Ahmad Awan, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters. CLUSTER 2019: 1-11 - [c8]Pouya Kousha
, Bharath Ramesh, Kaushik Kandadi Suresh, Ching-Hsiang Chu, Arpan Jain, Nick Sarkauskas, Hari Subramoni
, Dhabaleswar K. Panda:
Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters. HiPC 2019: 93-102 - [c7]Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Communication Profiling and Characterization of Deep Learning Workloads on Clusters with High-Performance Interconnects. Hot Interconnects 2019: 49-53 - [c6]Arpan Jain, Ashfakh Ali, Sai Kiran, Zia Abbas
:
A High PSRR, Stable CMOS Current Reference using Process Insensitive TC of Resistance for Wide Temperature Applications. ISCAS 2019: 1-5 - [c5]Arpan Jain, Ammar Ahmad Awan, Hari Subramoni, Dhabaleswar K. Panda:
Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on Frontera. DLS@SC 2019: 76-83 - [c4]Ashfakh Ali, Sai Kiran, Arpan Jain, Zia Abbas
:
A 47nW, 0.7-3.6V wide Supply Range, Resistor Based Temperature Sensor for IoT Applications. VLSI-SoC 2019: 293-298 - [i1]Ammar Ahmad Awan, Arpan Jain, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow. CoRR abs/1911.05146 (2019) - 2018
- [c3]Shreya Sahu, Arpan Jain, Ritu Tiwari, Anupam Shukla:
Application of Egyptian Vulture Optimization in Speech Emotion Recognition. SLTU 2018: 230-234 - [c2]Ashfakh Ali, Arpan Jain, Zia Abbas
:
Voltage Level Adapter Design for High Voltage Swing Applications in CMOS Differential Amplifier. VDAT 2018: 130-139 - 2014
- [c1]Rajesh Kumar Yadav, Arpan Jain:
CHATSEP: Critical heterogeneous adaptive threshold sensitive election protocol for Wireless Sensor Networks. ICACCI 2014: 80-86
Coauthor Index
aka: Dhabaleswar K. D. K. Panda
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last updated on 2024-08-05 20:25 CEST by the dblp team
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