OpBench: an operator-level GPU benchmark for deep learning
Authors:
- 20 August 2024
- journal article
- research article
- Published by Springer Nature in Science China Information Sciences
- Vol. 67 (9) , 1-12
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Natural language processing: state of the art, current trends and challengesMultimedia Tools and Applications, 2022
- AIPerf: Automated machine learning as an AI-HPC benchmarkBig Data Mining and Analytics, 2021
- Jittor: a novel deep learning framework with meta-operators and unified graph executionScience China Information Sciences, 2020
- Natural Language Processing2020
- Benchmark Analysis of Representative Deep Neural Network ArchitecturesIEEE Access, 2018
- 3D computer vision based on machine learning with deep neural networks: A reviewJournal of the Society for Information Display, 2017
- ImageNet classification with deep convolutional neural networksCommunications of the ACM, 2017
- Fully convolutional networks for semantic segmentation2015
- Performance Modeling of Atomic Additions on GPU Scratchpad MemoryIEEE Transactions on Parallel and Distributed Systems, 2012
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998