DLHub: Model and Data Serving for Science

DLHub: Model and Data Serving for Science

27 November 2018

Michael Franklin

Papers citing "DLHub: Model and Data Serving for Science"

8 / 8 papers shown

Title
$S$^{3}$: Increasing GPU Utilization during Generative Inference for Higher Throughput$ S $^{3}$ : Increasing GPU Utilization during Generative Inference for Higher Throughput Yunho Jin Chun-Feng Wu David Brooks Gu-Yeon Wei 29 62 0 09 Jun 2023
AICCA: AI-driven Cloud Classification Atlas Takuya Kurihana Elisabeth Moyer Ian T. Foster 12 12 0 29 Sep 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 24 25 0 23 Jul 2022
$FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy$ FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy Nikil Ravi Pranshu Chaturvedi Eliu A. Huerta Zhengchun Liu Ryan Chard Aristana Scourtas K. J. Schmidt Kyle Chard B. Blaiszik Ian T. Foster 37 26 0 01 Jul 2022
Inference-optimized AI and high performance computing for gravitational wave detection at scale Pranshu Chaturvedi Asad Khan Minyang Tian Eliu A. Huerta Huihuo Zheng 8 29 0 26 Jan 2022
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs Ryan Jacobs Mingren Shen Yuhan Liu Wei Hao Xiaoshan Li ... Zeming Xie Zitong Huang Chao Wang Kevin G. Field D. Morgan 15 2 0 15 Oct 2021
Serverless Supercomputing: High Performance Function as a Service for Science Ryan Chard Tyler J. Skluzacek Zhuozhao Li Y. Babuji A. Woodard B. Blaiszik S. Tuecke Ian T. Foster Kyle Chard LRM 13 34 0 14 Aug 2019
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery Dipendra Jha Logan T. Ward Zijiang Yang C. Wolverton Ian T. Foster W. Liao A. Choudhary Ankit Agrawal PINN 11 44 0 07 Jul 2019