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Ray: A Distributed Framework for Emerging AI Applications
v1v2 (latest)

Ray: A Distributed Framework for Emerging AI Applications

16 December 2017
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
Eric Liang
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
    GNN
ArXiv (abs)PDFHTML

Papers citing "Ray: A Distributed Framework for Emerging AI Applications"

50 / 495 papers shown
Title
LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image
  Information
LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information
Ke Wang
Hong Xuan
VLM
117
2
0
11 Dec 2024
The BrowserGym Ecosystem for Web Agent Research
The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier De Chezelles
Maxime Gasse
Alexandre Lacoste
Alexandre Drouin
Massimo Caccia
...
Siva Reddy
Quentin Cappart
Graham Neubig
Ruslan Salakhutdinov
Nicolas Chapados
LLMAG
181
18
0
06 Dec 2024
GoldFish: Serverless Actors with Short-Term Memory State for the
  Edge-Cloud Continuum
GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum
Cynthia Marcelino
Jack Shahhoud
Stefan Nastic
151
3
0
03 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
96
6
0
08 Nov 2024
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM
  Inference
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference
Xuanlin Jiang
Yang Zhou
Shiyi Cao
Ion Stoica
Minlan Yu
73
11
0
02 Nov 2024
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs
Ferdi Kossmann
Bruce Fontaine
Daya Khudia
Michael Cafarella
Samuel Madden
291
2
0
23 Oct 2024
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative
  Path Planning
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
Srujan Deolasee
Siva Kailas
Wenhao Luo
Katia Sycara
Woojun Kim
73
1
0
22 Oct 2024
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated
  Chapters
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters
Azin Ghazimatin
Ekaterina Garmash
Gustavo Penha
Kristen Sheets
Martin Achenbach
...
Ben Carterette
Ann Clifton
Paul N. Bennett
C. Hauff
M. Lalmas
98
4
0
21 Oct 2024
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces
Anjiang Wei
Allen Nie
Diyi Yang
Rohan Yadav
Wonchan Lee
Ke Wang
Alex Aiken
61
0
0
21 Oct 2024
Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic
  Regression and Symbolic Differentiation without Expression Trees
Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic Regression and Symbolic Differentiation without Expression Trees
Edward Finkelstein
105
0
0
18 Oct 2024
Retrospective Learning from Interactions
Retrospective Learning from Interactions
Zizhao Chen
Mustafa Omer Gul
Yiwei Chen
Gloria Geng
Anne Wu
Yoav Artzi
LRM
104
1
0
17 Oct 2024
Accelerating Python Applications with Dask and ProxyStore
Accelerating Python Applications with Dask and ProxyStore
J. G. Pauloski
Klaudiusz Rydzy
Valérie Hayot-Sasson
Ian Foster
Kyle Chard
57
1
0
15 Oct 2024
Learning to rumble: Automated elephant call classification, detection
  and endpointing using deep architectures
Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures
Christiaan M. Geldenhuys
Thomas R. Niesler
29
0
0
15 Oct 2024
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing
  with Language Models
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models
Ranchi Zhao
Zhen Leng Thai
Yifan Zhang
Shengding Hu
Yunqi Ba
Jie Zhou
Jie Cai
Zhiyuan Liu
Maosong Sun
145
1
0
08 Oct 2024
ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large
  Language Model Serving
ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving
Yifan Qiao
Shu Anzai
Shan Yu
Haoran Ma
Yang Wang
Miryung Kim
Harry Xu
54
4
0
02 Oct 2024
A House United Within Itself: SLO-Awareness for On-Premises
  Containerized ML Inference Clusters via Faro
A House United Within Itself: SLO-Awareness for On-Premises Containerized ML Inference Clusters via Faro
Beomyeol Jeon
Chen Wang
Diana Arroyo
Alaa Youssef
Indranil Gupta
58
0
0
29 Sep 2024
HybridFlow: A Flexible and Efficient RLHF Framework
HybridFlow: A Flexible and Efficient RLHF Framework
Guangming Sheng
Chi Zhang
Zilingfeng Ye
Xibin Wu
Wang Zhang
Ru Zhang
Size Zheng
Haibin Lin
Chuan Wu
AI4CE
206
240
0
28 Sep 2024
Data-Prep-Kit: getting your data ready for LLM application development
Data-Prep-Kit: getting your data ready for LLM application development
David Wood
Boris Lublinsky
Alexy Roytman
Shivdeep Singh
Abdulhamid A. Adebayo
...
Dhiraj Joshi
Hajar Emami-Gohari
Xuan-Hong Dang
Yan Koyfman
Shahrokh Daijavad
VLM
71
2
0
26 Sep 2024
Syndeo: Portable Ray Clusters with Secure Containerization
Syndeo: Portable Ray Clusters with Secure Containerization
William Li
Rodney S. Lafuente Mercado
Jaime D. Pena
R. Allen
29
0
0
25 Sep 2024
Flotta: a Secure and Flexible Spark-inspired Federated Learning
  Framework
Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework
Claudio Bonesana
Daniele Malpetti
Sandra Mitrović
Francesca Mangili
Laura Azzimonti
FedML
20
0
0
20 Sep 2024
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
Derek Ming Siang Tan
Yixiao Ma
Jingsong Liang
Yi Cheng Chng
Yuhong Cao
Guillaume Sartoretti
121
5
0
07 Sep 2024
CoGen: Learning from Feedback with Coupled Comprehension and Generation
CoGen: Learning from Feedback with Coupled Comprehension and Generation
Mustafa Omer Gul
Yoav Artzi
83
5
0
28 Aug 2024
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
Pritthijit Nath
Henry Moss
Emily Shuckburgh
Mark Webb
AI4ClAI4CE
155
0
0
28 Aug 2024
Employing Artificial Intelligence to Steer Exascale Workflows with
  Colmena
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena
Logan T. Ward
J. G. Pauloski
Valérie Hayot-Sasson
Y. Babuji
Alexander Brace
Ryan Chard
Kyle Chard
R. Thakur
Ian Foster
108
5
0
26 Aug 2024
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer
Georgios Is. Detorakis
136
0
0
21 Aug 2024
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical
  simulations in computational cardiology
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
Matteo Salvador
Alison L. Marsden
AI4CE
93
1
0
19 Aug 2024
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks
J. G. Pauloski
Valérie Hayot-Sasson
Maxime Gonthier
Nathaniel Hudson
Haochen Pan
Sicheng Zhou
Ian Foster
Kyle Chard
51
5
0
13 Aug 2024
HDPlanner: Advancing Autonomous Deployments in Unknown Environments
  through Hierarchical Decision Networks
HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks
Jingsong Liang
Yuhong Cao
Yixiao Ma
Hanqi Zhao
Guillaume Sartoretti
64
2
0
07 Aug 2024
AutoM3L: An Automated Multimodal Machine Learning Framework with Large
  Language Models
AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models
Daqin Luo
Chengjian Feng
Yuxuan Nong
Yiqing Shen
61
6
0
01 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
83
5
0
31 Jul 2024
Privileged Reinforcement and Communication Learning for Distributed,
  Bandwidth-limited Multi-robot Exploration
Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration
Yixiao Ma
Jingsong Liang
Yuhong Cao
Derek Ming Siang Tan
Guillaume Sartoretti
60
0
0
29 Jul 2024
Practical Marketplace Optimization at Uber Using Causally-Informed
  Machine Learning
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning
Bobby Chen
Siyu Chen
Jason Dowlatabadi
Yu Xuan Hong
Vinayak Iyer
...
Kaichen Wei
Chen Xu
Jingnan Yang
Allen T. Zhang
Guoqing Zhang
OffRL
141
1
0
26 Jul 2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data
TADA: Temporal Adversarial Data Augmentation for Time Series Data
Byeong Tak Lee
Joon-Myoung Kwon
Yong-Yeon Jo
TTA
74
0
0
21 Jul 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking --
  A Loss Landscape Perspective
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective
T. Kortus
Ralf Keidel
N.R. Gauger
129
0
0
18 Jul 2024
Learning Interpretable Differentiable Logic Networks
Learning Interpretable Differentiable Logic Networks
Chang Yue
N. Jha
NAIAI4CE
59
1
0
04 Jul 2024
DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum
  Cloud Computing
DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing
H. T. Nguyen
Muhammad Usman
Rajkumar Buyya
56
0
0
03 Jul 2024
Object Proxy Patterns for Accelerating Distributed Applications
Object Proxy Patterns for Accelerating Distributed Applications
J. G. Pauloski
Valérie Hayot-Sasson
Logan T. Ward
Alexander Brace
André Bauer
Kyle Chard
Ian Foster
AI4CE
79
7
0
01 Jul 2024
Teola: Towards End-to-End Optimization of LLM-based Applications
Teola: Towards End-to-End Optimization of LLM-based Applications
Xin Tan
Yimin Jiang
Yitao Yang
Hong-Yu Xu
160
7
0
29 Jun 2024
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search
  with Dynamic Data Ingestion
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion
Xianzhi Zeng
Zhuoyan Wu
Xinjing Hu
Xuanhua Shi
Shixuan Sun
Shuhao Zhang
94
2
0
28 Jun 2024
A Survey on Failure Analysis and Fault Injection in AI Systems
A Survey on Failure Analysis and Fault Injection in AI Systems
Guangba Yu
Gou Tan
Haojia Huang
Zhenyu Zhang
Pengfei Chen
Roberto Natella
Zibin Zheng
99
5
0
28 Jun 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Aidan Furlong
Farah Alsafadi
S. Palmtag
Andrew Godfrey
Xu Wu
134
1
0
27 Jun 2024
The Multilingual Alignment Prism: Aligning Global and Local Preferences
  to Reduce Harm
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
Aakanksha
Arash Ahmadian
Beyza Ermis
Seraphina Goldfarb-Tarrant
Julia Kreutzer
Marzieh Fadaee
Sara Hooker
119
39
0
26 Jun 2024
Automatic Tracing in Task-Based Runtime Systems
Automatic Tracing in Task-Based Runtime Systems
Rohan Yadav
Michael Bauer
David Broman
Michael Garland
Alex Aiken
Fredrik Kjolstad
26
1
0
26 Jun 2024
Composing Distributed Computations Through Task and Kernel Fusion
Composing Distributed Computations Through Task and Kernel Fusion
Rohan Yadav
S. Sundram
Wonchan Lee
Michael Garland
Michael Bauer
Alex Aiken
Fredrik Kjolstad
64
2
0
26 Jun 2024
How to Rent GPUs on a Budget
How to Rent GPUs on a Budget
Zhouzi Li
Benjamin Berg
Arpan Mukhopadhyay
Mor Harchol-Balter
34
0
0
21 Jun 2024
CascadeServe: Unlocking Model Cascades for Inference Serving
CascadeServe: Unlocking Model Cascades for Inference Serving
Ferdi Kossmann
Ziniu Wu
Alex Turk
Nesime Tatbul
Lei Cao
Samuel Madden
68
3
0
20 Jun 2024
Breaking the Ceiling of the LLM Community by Treating Token Generation
  as a Classification for Ensembling
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
Yao-Ching Yu
Chun-Chih Kuo
Ziqi Ye
Yu-Cheng Chang
Yueh-Se Li
88
12
0
18 Jun 2024
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power
  Grids using Machine Learning
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
Christian Nauck
Anna Buttner
Sebastian Liemann
Frank Hellmann
M. Lindner
AI4CE
118
0
0
13 Jun 2024
Training Through Failure: Effects of Data Consistency in Parallel
  Machine Learning Training
Training Through Failure: Effects of Data Consistency in Parallel Machine Learning Training
Ray Cao
Sherry Luo
Steve Gan
Sujeeth Jinesh
56
0
0
08 Jun 2024
Llumnix: Dynamic Scheduling for Large Language Model Serving
Llumnix: Dynamic Scheduling for Large Language Model Serving
Biao Sun
Ziming Huang
Hanyu Zhao
Wencong Xiao
Xinyi Zhang
Yong Li
Wei Lin
91
57
0
05 Jun 2024
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