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DLHub: Model and Data Serving for Science

DLHub: Model and Data Serving for Science

27 November 2018
Ryan Chard
Zhuozhao Li
Kyle Chard
Logan T. Ward
Y. Babuji
A. Woodard
S. Tuecke
Ben Blaiszik
Michael Franklin
Ian Foster
ArXiv (abs)PDFHTML

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

34 / 34 papers shown
HMI: Hierarchical Knowledge Management for Efficient Multi-Tenant Inference in Pretrained Language Models
HMI: Hierarchical Knowledge Management for Efficient Multi-Tenant Inference in Pretrained Language ModelsThe VLDB journal (VLDB J.), 2025
Junxuan Zhang
Jiadong Wang
Haoyang Li
Lidan Shou
Ke Chen
Gang Chen
Qin Xie
Guiming Xie
Xuejian Gong
239
1
0
24 Apr 2025
UniFaaS: Programming across Distributed Cyberinfrastructure with
  Federated Function Serving
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
Yifei Li
Ryan Chard
Y. Babuji
Kyle Chard
Ian Foster
Zhuozhao Li
245
4
0
28 Mar 2024
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A
  Survey and Vision
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
Nathaniel Hudson
J. G. Pauloski
Matt Baughman
Alok V. Kamatar
Mansi Sakarvadia
...
Owen Price Skelly
Ben Blaiszik
Rick L. Stevens
Kyle Chard
Ian Foster
MedIm
265
12
0
05 Feb 2024
S$^{3}$: Increasing GPU Utilization during Generative Inference for
  Higher Throughput
S3^{3}3: Increasing GPU Utilization during Generative Inference for Higher ThroughputNeural Information Processing Systems (NeurIPS), 2023
Yunho Jin
Chun-Feng Wu
David Brooks
Gu-Yeon Wei
338
113
0
09 Jun 2023
The Pipeline for the Continuous Development of Artificial Intelligence
  Models -- Current State of Research and Practice
The Pipeline for the Continuous Development of Artificial Intelligence Models -- Current State of Research and PracticeJournal of Systems and Software (JSS), 2023
M. Steidl
Michael Felderer
Rudolf Ramler
285
89
0
21 Jan 2023
End-to-end AI framework for interpretable prediction of molecular and
  crystal properties
End-to-end AI framework for interpretable prediction of molecular and crystal properties
Hyun Park
Ruijie Zhu
Eliu A. Huerta
Santanu Chaudhuri
E. Tajkhorshid
Donny Cooper
AI4CE
163
10
0
21 Dec 2022
Towards Seamless Management of AI Models in High-Performance Computing
Towards Seamless Management of AI Models in High-Performance Computing
Sixing Yu
M. Emani
C. Liao
Pei-Hung Lin
T. Vanderbruggen
Xipeng Shen
Ali Jannesari
79
2
0
13 Dec 2022
FAIR AI Models in High Energy Physics
FAIR AI Models in High Energy Physics
Javier Mauricio Duarte
Haoyang Li
Avik Roy
Ruike Zhu
Eliu A. Huerta
...
Mark S. Neubauer
Sang Eon Park
M. Quinnan
R. Rusack
Zhizhen Zhao
403
14
0
09 Dec 2022
FAIR for AI: An interdisciplinary and international community building
  perspective
FAIR for AI: An interdisciplinary and international community building perspectiveScientific Data (Sci Data), 2022
Eliu A. Huerta
Ben Blaiszik
L. C. Brinson
Kristofer E Bouchard
Daniel Madrigal Diaz
...
Fotis Psomopoulos
Avik Roy
Oliver Rübel
Zhizhen Zhao
Ruike Zhu
223
84
0
30 Sep 2022
AICCA: AI-driven Cloud Classification Atlas
AICCA: AI-driven Cloud Classification AtlasRemote Sensing (RS), 2022
Takuya Kurihana
Elisabeth Moyer
Ian Foster
281
16
0
29 Sep 2022
Globus Automation Services: Research process automation across the
  space-time continuum
Globus Automation Services: Research process automation across the space-time continuumFuture generations computer systems (FGCS), 2022
Ryan Chard
J. Pruyne
Kurt McKee
Josh Bryan
B. Raumann
R. Ananthakrishnan
Kyle Chard
Ian Foster
271
41
0
19 Aug 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using
  a Diverse Pool of Cloud Computing Instances
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing InstancesInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
Baolin Li
Rohan Basu Roy
Tirthak Patel
V. Gadepally
K. Gettings
Devesh Tiwari
205
31
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 microscopyScientific Data (Sci Data), 2022
Nikil Ravi
Pranshu Chaturvedi
Eliu A. Huerta
Zhengchun Liu
Ryan Chard
Aristana Scourtas
K. J. Schmidt
Kyle Chard
Ben Blaiszik
Ian Foster
514
45
0
01 Jul 2022
Real-Time Streaming and Event-driven Control of Scientific Experiments
Real-Time Streaming and Event-driven Control of Scientific Experiments
Jakob R. Elias
Ryan Chard
Maksim Levental
Zhengchun Liu
Ian Foster
Santanu Chaudhuri
AI4CE
189
1
0
03 May 2022
Applications of physics informed neural operators
Applications of physics informed neural operators
S. Rosofsky
Hani Al Majed
Eliu A. Huerta
PINNAI4CE
354
73
0
23 Mar 2022
Inference-optimized AI and high performance computing for gravitational
  wave detection at scale
Inference-optimized AI and high performance computing for gravitational wave detection at scaleFrontiers in Artificial Intelligence (FAI), 2022
Pranshu Chaturvedi
Asad Khan
Minyang Tian
Eliu A. Huerta
Huihuo Zheng
336
31
0
26 Jan 2022
Performance, Successes and Limitations of Deep Learning Semantic
  Segmentation of Multiple Defects in Transmission Electron Micrographs
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
158
2
0
15 Oct 2021
KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural
  Networks
KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks
J. G. Pauloski
Qi Huang
Lei Huang
Shivaram Venkataraman
Kyle Chard
Ian Foster
Zhao-jie Zhang
347
31
0
04 Jul 2021
Distributed Deep Learning in Open Collaborations
Distributed Deep Learning in Open CollaborationsNeural Information Processing Systems (NeurIPS), 2021
Michael Diskin
Alexey Bukhtiyarov
Max Ryabinin
Lucile Saulnier
Quentin Lhoest
...
Denis Mazur
Ilia Kobelev
Yacine Jernite
Thomas Wolf
Gennady Pekhimenko
FedML
322
75
0
18 Jun 2021
Advances in Machine and Deep Learning for Modeling and Real-time
  Detection of Multi-Messenger Sources
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
Eliu A. Huerta
Zhizhen Zhao
372
22
0
13 May 2021
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave
  Detection
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave DetectionNature Astronomy (Nat. Astron.), 2020
Eliu A. Huerta
Asad Khan
Xiaobo Huang
Minyang Tian
Maksim Levental
...
Daniel S. Katz
Volodymyr V. Kindratenko
D. Mu
Ben Blaiszik
Ian Foster
355
65
0
15 Dec 2020
InferBench: Understanding Deep Learning Inference Serving with an
  Automatic Benchmarking System
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System
Huaizheng Zhang
Yizheng Huang
Yonggang Wen
Jianxiong Yin
K. Guan
273
3
0
04 Nov 2020
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS
Huaizheng Zhang
Yuanming Li
Yizheng Huang
Yonggang Wen
Jianxiong Yin
K. Guan
VLM
211
30
0
09 Jun 2020
The Manufacturing Data and Machine Learning Platform: Enabling Real-time
  Monitoring and Control of Scientific Experiments via IoT
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoTWorld Forum on Internet of Things (WF-IoT), 2020
Jakob R. Elias
Ryan Chard
J. Libera
Ian Foster
S. Chaudhuri
204
14
0
27 May 2020
funcX: A Federated Function Serving Fabric for Science
funcX: A Federated Function Serving Fabric for Science
Ryan Chard
Y. Babuji
Zhuozhao Li
Tyler J. Skluzacek
A. Woodard
Ben Blaiszik
Ian Foster
Kyle Chard
413
220
0
07 May 2020
Convergence of Artificial Intelligence and High Performance Computing on
  NSF-supported Cyberinfrastructure
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported CyberinfrastructureJournal of Big Data (J Big Data), 2020
Eliu A. Huerta
Asad Khan
Edward Davis
Colleen Bushell
W. Gropp
...
S. Koric
William T. C. Kramer
Brendan McGinty
Kenton McHenry
Aaron Saxton
AI4CE
279
56
0
18 Mar 2020
MLModelScope: A Distributed Platform for Model Evaluation and
  Benchmarking at Scale
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
Abdul Dakkak
Cheng-rong Li
Jinjun Xiong
Wen-mei W. Hwu
ELM
139
6
0
19 Feb 2020
ModelHub.AI: Dissemination Platform for Deep Learning Models
ModelHub.AI: Dissemination Platform for Deep Learning Models
A. Hosny
M. Schwier
Christoph Berger
Evin Pınar Örnek
Mehmet Turan
...
U. Hoffmann
Bjoern Menze
Spyridon Bakas
Andrey Fedorov
Hugo J. W. L. Aerts
VLM
165
19
0
26 Nov 2019
Serverless Supercomputing: High Performance Function as a Service for
  Science
Serverless Supercomputing: High Performance Function as a Service for Science
Ryan Chard
Tyler J. Skluzacek
Zhuozhao Li
Y. Babuji
A. Woodard
Ben Blaiszik
S. Tuecke
Ian Foster
Kyle Chard
LRM
225
34
0
14 Aug 2019
IRNet: A General Purpose Deep Residual Regression Framework for
  Materials Discovery
IRNet: A General Purpose Deep Residual Regression Framework for Materials DiscoveryKnowledge Discovery and Data Mining (KDD), 2019
Dipendra Jha
Logan T. Ward
Zijiang Yang
C. Wolverton
Ian Foster
W. Liao
A. Choudhary
Ankit Agrawal
PINN
143
48
0
07 Jul 2019
Machine Learning Prediction of Accurate Atomization Energies of Organic
  Molecules from Low-Fidelity Quantum Chemical Calculations
Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical CalculationsMRS Communications (MRS Commun.), 2019
Logan T. Ward
Ben Blaiszik
Ian Foster
R. Assary
B. Narayanan
L. Curtiss
AI4CE
259
42
0
07 Jun 2019
Parsl: Pervasive Parallel Programming in Python
Parsl: Pervasive Parallel Programming in PythonIEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2019
Y. Babuji
A. Woodard
Zhuozhao Li
Daniel S. Katz
Ben Clifford
...
Ryan Chard
Justin M. Wozniak
Ian Foster
Michael Wilde
Kyle Chard
MoE
242
304
0
06 May 2019
Statistically-informed deep learning for gravitational wave parameter
  estimation
Statistically-informed deep learning for gravitational wave parameter estimation
Hongyu Shen
Eliu A. Huerta
É. O’Shea
Prayush Kumar
Zhizhen Zhao
307
42
0
05 Mar 2019
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative
  Adversarial Networks
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu
Tekin Bicer
R. Kettimuthu
D. Gursoy
F. Carlo
Ian Foster
MedImGAN
383
112
0
20 Feb 2019
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