Machine Learning · Computer Science
Addressing the Memory Bottleneck in AI Model Training
David Ojika, Bhavesh Patel, G. Anthony Reina, Trent Boyer +2
2020-03-20
Performance · Computer Science
Speeding up Deep Learning with Transient Servers
Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo
2019-05-07
Computer Vision and Pattern Recognition · Computer Science
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection
Lei Zhang, Hao Chen, Shu Hu, Bin Zhu +4
2024-01-31
Distributed, Parallel, and Cluster Computing · Computer Science
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang +20
2020-10-21
Distributed, Parallel, and Cluster Computing · Computer Science
Auto-Tuning Dedispersion for Many-Core Accelerators
Alessio Sclocco, Henri E. Bal, Jason Hessels, Joeri van Leeuwen +1
2016-01-20
Machine Learning · Computer Science
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman +10
2019-05-13
Computer Vision and Pattern Recognition · Computer Science
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions
Mariette Schönfeld, Laurens Devos, Wannes Meert, Hendrik Blockeel
2026-05-28
Performance · Computer Science
Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing
Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam +1
2026-04-03
Distributed, Parallel, and Cluster Computing · Computer Science
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon +1
2019-01-18
Distributed, Parallel, and Cluster Computing · Computer Science
Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment
Muhammad Azlan Qazi, Alexandros Iosifidis, Qi Zhang
2026-05-26
Machine Learning · Computer Science
Exascale Deep Learning for Scientific Inverse Problems
Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young +5
2019-09-26
Distributed, Parallel, and Cluster Computing · Computer Science
Distributed Inference Performance Optimization for LLMs on CPUs
Pujiang He, Shan Zhou, Changqing Li, Wenhuan Huang +4
2024-07-02
Distributed, Parallel, and Cluster Computing · Computer Science
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing
Nan Li, Alexandros Iosifidis, Qi Zhang
2022-09-12
Distributed, Parallel, and Cluster Computing · Computer Science
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator
A. Rios-Navarro, R. Tapiador-Morales, A. Jimenez-Fernandez, M. Dominguez-Morales +2
2018-06-05
Distributed, Parallel, and Cluster Computing · Computer Science
Distributed learning of CNNs on heterogeneous CPU/GPU architectures
Jose Marques, Gabriel Falcao, Luís A. Alexandre
2017-12-08
Distributed, Parallel, and Cluster Computing · Computer Science
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
Yifan Ding, Nicholas Botzer, Tim Weninger
2020-10-01
Machine Learning · Computer Science
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna +1
2021-04-27
Machine Learning · Computer Science
A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs
Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, Zack Sating +1
2024-05-15