4 code implementations • 4 Jan 2018 • Xi-Wei Yao, Hengyan Wang, Zeyang Liao, Ming-Cheng Chen, Jian Pan, Jun Li, Kechao Zhang, Xingcheng Lin, Zhehui Wang, Zhihuang Luo, Wenqiang Zheng, Jianzhong Li, Meisheng Zhao, Xinhua Peng, Dieter Suter
Processing of digital images is continuously gaining in volume and relevance, with concomitant demands on data storage, transmission and processing power.
Quantum Physics
no code implementations • 4 Jan 2019 • Carleton Coffrin, James Arnold, Stephan Eidenbenz, Derek Aberle, John Ambrosiano, Zachary Baker, Sara Brambilla, Michael Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron s. Pope, Reid Porter, Chris Rawlings, Hannah Reinbolt, Reid Rivenburgh, Phil Romero, Kevin Schoonover, Alexei Skurikhin, Daniel Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring
This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories.
no code implementations • 8 Jun 2020 • Zhehui Wang, Tao Luo, Joey Tianyi Zhou, Rick Siow Mong Goh
EDCompress could also find the optimal dataflow type for specific neural networks in terms of energy consumption, which can guide the deployment of CNN models on hardware systems.
no code implementations • 6 Jan 2021 • Pinghan Chu, Velat Kilic, Mark A. Foster, Zhehui Wang
Use of this effect for PDV can expand the velocity measurement range and allow the use of lower bandwidth electronics.
Optics Nuclear Experiment
no code implementations • 11 Jan 2021 • Bradley T. Wolfe, Zhizhong Han, Jonathan S. Ben-Benjamin, John L. Kline, David S. Montgomery, Elizabeth C. Merritt, Paul A. Keiter, Eric Loomis, Brian M. Patterson, Lindsey Kuettner, Zhehui Wang
We also show that the CNN allows for 3D reconstruction of shells that possess low mode asymmetries.
3D Reconstruction Data Analysis, Statistics and Probability Plasma Physics
no code implementations • 14 May 2021 • Zhehui Wang, Xiaozhe Gu, Rick Goh, Joey Tianyi Zhou, Tao Luo
Traditionally, a spike train needs around one thousand time steps to approach similar accuracy as its ANN counterpart.
no code implementations • 29 Sep 2021 • Tao Luo, Zhehui Wang, Daniel Gerlinghoff, Rick Siow Mong Goh, Weng-Fai Wong
In this paper, we propose BLUnet, a table lookup-based DNN model with bit-serialized input to overcome this challenge.
1 code implementation • 19 Nov 2021 • Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
Compiler frameworks are crucial for the widespread use of FPGA-based deep learning accelerators.
no code implementations • 1 Dec 2021 • Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei zhang, Weng-Fai Wong
In-memory deep learning has already demonstrated orders of magnitude higher performance density and energy efficiency.
no code implementations • 2 Jun 2022 • Bradley T. Wolfe, Michael J. Falato, Xinhua Zhang, Nga T. T. Nguyen-Fotiadis, J. P. Sauppe, P. M. Kozlowski, P. A. Keiter, R. E. Reinovsky, S. A. Batha, Zhehui Wang
We utilize half a dozen different convolutional neural networks to produce different 3D representations of ICF implosions from the experimental data.
no code implementations • 6 Jun 2022 • Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
However, current accelerators for SNN cannot well support the emerging encoding schemes.
no code implementations • 10 Feb 2023 • Ziji Zhang, Zhehui Wang, Rajesh Kamma, Sharanya Eswaran, Narayanan Sadagopan
However, efficient models that meet the low latency requirements of industrial grade production systems have not been well studied.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1