共 50 条
- [1] Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training [J]. APPLIED SCIENCES-BASEL, 2021, 11 (21):
- [2] Enabling Efficient Large-Scale Deep Learning Training with Cache Coherent Disaggregated Memory Systems [J]. 2022 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2022), 2022, : 126 - 140
- [3] MixPipe: Efficient Bidirectional Pipeline Parallelism for Training Large-Scale Models [J]. 2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC, 2023,
- [5] A Comparison of Svm With Deep Learning Models for Large-Scale Intents Analysis [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2018, 18 (07): : 38 - 46
- [6] Large-scale Deep Learning at Baidu [J]. PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13), 2013, : 2211 - 2211
- [7] Efficient Large-Scale Structured Learning [J]. 2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2013, : 1806 - 1813
- [8] Distributed Training Large-Scale Deep Architectures [J]. ADVANCED DATA MINING AND APPLICATIONS, ADMA 2017, 2017, 10604 : 18 - 32
- [10] Comparing models of learning and relearning in large-scale cognitive training data sets [J]. npj Science of Learning, 7