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Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning.

, , , , , , and . SIGMOD Rec., 49 (1): 43-50 (2020)

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Efficient flow scheduling in distributed deep learning training with echelon formation., , , , , and . HotNets, page 93-100. ACM, (2022)Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks., and . MLMECH/CVII-STENT@MICCAI, volume 11794 of Lecture Notes in Computer Science, page 36-44. Springer, (2019)FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU., , , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 31094-31116. PMLR, (2023)Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences., , , and . Technometrics, 64 (2): 177-186 (2022)Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning., , , , , , and . SIGMOD Rec., 49 (1): 43-50 (2020)BAGUA: Scaling up Distributed Learning with System Relaxations., , , , , , , , , and 4 other author(s). Proc. VLDB Endow., 15 (4): 804-813 (2021)Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra., , , and . SIGMOD Conference, page 1222-1234. ACM, (2021)Generating a 3D Normative Infant Cranial Model., , , , and . ICCS, volume 80 of Procedia Computer Science, page 988-998. Elsevier, (2016)Serving Deep Learning Models from Relational Databases., , , , , , , , , and 2 other author(s). EDBT, page 717-724. OpenProceedings.org, (2024)Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model., , , , , , , , , and 6 other author(s). CoRR, (2024)