Computation and Language · Computer Science
A Survey on Parallel Reasoning
Ziqi Wang, Boye Niu, Zipeng Gao, Zhi Zheng +9
2025-10-15
Machine Learning · Computer Science
Benchmarking Machine Learning: How Fast Can Your Algorithms Go?
Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang, Ting Zhu
2021-01-12
Machine Learning · Computer Science
A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks
Daniel Nichols, Siddharth Singh, Shu-Huai Lin, Abhinav Bhatele
2022-07-04
Distributed, Parallel, and Cluster Computing · Computer Science
Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies
Felix Brakel, Uraz Odyurt, Ana-Lucia Varbanescu
2024-03-07
Distributed, Parallel, and Cluster Computing · Computer Science
Efficient Pipeline Planning for Expedited Distributed DNN Training
Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan +3
2022-08-23
Computer Vision and Pattern Recognition · Computer Science
Faster Multi-GPU Training with PPLL: A Pipeline Parallelism Framework Leveraging Local Learning
Xiuyuan Guo, Chengqi Xu, Guinan Guo, Feiyu Zhu +5
2024-11-21
Computer Vision and Pattern Recognition · Computer Science
Massively Parallel Video Networks
Joao Carreira, Viorica Patraucean, Laurent Mazare, Andrew Zisserman +1
2018-09-06
Machine Learning · Computer Science
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken
2018-06-12
Machine Learning · Computer Science
Exploiting Parallelism Opportunities with Deep Learning Frameworks
Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang, Kim Hazelwood +1
2020-07-01
Programming Languages · Computer Science
Cimple: Instruction and Memory Level Parallelism
Vladimir Kiriansky, Haoran Xu, Martin Rinard, Saman Amarasinghe
2018-07-05
Machine Learning · Computer Science
Parallel training of linear models without compromising convergence
Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas Parnell
2018-12-20
Distributed, Parallel, and Cluster Computing · Computer Science
Tools for Analyzing Parallel I/O
Julian M. Kunkel, Eugen Betke, Matt Bryson, Philip Carns +4
2018-07-19
Distributed, Parallel, and Cluster Computing · Computer Science
Zero Bubble Pipeline Parallelism
Penghui Qi, Xinyi Wan, Guangxing Huang, Min Lin
2024-01-22
Distributed, Parallel, and Cluster Computing · Computer Science
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
Haowei Yang, Yu Tian, Zhongheng Yang, Zhao Wang +2
2025-06-25
Machine Learning · Computer Science
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines
Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen
2022-03-28
Machine Learning · Computer Science
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures
Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo Jose Albanez Bastos-Filho
2022-06-20