Machine Learning · Computer Science
Learning to Schedule DAG Tasks
Zhigang Hua, Feng Qi, Gan Liu, Shuang Yang
2021-03-08
Machine Learning · Computer Science
Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning
Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini +3
2024-01-12
Distributed, Parallel, and Cluster Computing · Computer Science
A Cost Effective Reliability Aware Scheduler for Task Graphs in Multi-Cloud System
Atharva Tekawade, Suman Banerjee
2022-12-20
Machine Learning · Computer Science
Directed Graph Grammars for Sequence-based Learning
Michael Sun, Orion Foo, Gang Liu, Wojciech Matusik +1
2025-05-30
Distributed, Parallel, and Cluster Computing · Computer Science
Efficiently Scheduling Parallel DAG Tasks on Identical Multiprocessors
Shardul Lendve, Konstantinos Bletsas, Pedro F. Souto
2024-10-24
Machine Learning · Computer Science
Directed Acyclic Graph Structure Learning from Dynamic Graphs
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
2024-03-06
Distributed, Parallel, and Cluster Computing · Computer Science
Bringing Inter-Thread Cache Benefits to Federated Scheduling -- Extended Results & Technical Report
Corey Tessler, Venkata P. Modekurthy, Nathan Fisher, Abusayeed Saifullah
2020-03-02
Networking and Internet Architecture · Computer Science
Throughput-Optimal Broadcast on Directed Acyclic Graphs
Abhishek Sinha, Georgios Paschos, Chih-ping Li, Eytan Modiano
2014-11-25
Distributed, Parallel, and Cluster Computing · Computer Science
Cost and Reliability Aware Scheduling of Workflows Across Multiple Clouds with Security Constraints
Atherve Tekawade, Suman Banerjee
2023-04-04
Machine Learning · Statistics
Node Attribute Generation on Graphs
Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao +3
2019-07-24
Machine Learning · Statistics
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2018-11-06
Distributed, Parallel, and Cluster Computing · Computer Science
Parallel Path Progression DAG Scheduling
Niklas Ueter, Mario Günzel, Georg von der Brüggen, Jian-Jia Chen
2022-08-26
Machine Learning · Computer Science
Gradient-Based Neural DAG Learning
Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien
2020-02-19
Computer Vision and Pattern Recognition · Computer Science
Neural Task Planning with And-Or Graph Representations
Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo +2
2018-08-29