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https://www.cepc.com.cn/EN/Y2023/V44/I3/66
Low-Frequency Admittance Modeling and Stability Analysis of Multiple PSUs Parallel System in Data...
In view of the interaction between the power supply unit (PSU) inside the data center power supply system and the power distribution network, it is easy to...
low frequencyadmittancemodelingstabilityanalysis
https://huggingface.co/papers/2006.15704
Paper page - PyTorch Distributed: Experiences on Accelerating Data Parallel Training
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data parallelpaperpytorchdistributedexperiences
https://www.tableau.com/research/publications/parallel-sets-interactive-exploration-and-visual-analysis-categorical-data
Parallel Sets: Interactive Exploration and Visual Analysis of Categorical Data
categorical dataparallelsetsinteractiveexploration
https://acsij.org/index.php/acsij/article/view/190/0
Task Parallel Models Based on Dynamic Data Placement to Reduce NUMA Effects | Wang | Advances in...
Task Parallel Models Based on Dynamic Data Placement to Reduce NUMA Effects
dynamic datataskparallelmodelsbased
https://www.tensorflow.org/versions/r2.5/api_docs/python/tf/data/experimental/parallel_interleave
tf.data.experimental.parallel_interleave | TensorFlow v2.5.0
A parallel version of the Dataset.interleave() transformation. (deprecated)
tfdataexperimentalparallelinterleave
https://www.pdl.cmu.edu/index.shtml
Parallel Data Laboratory
paralleldatalaboratory
https://towardsdatascience.com/how-to-run-coding-agents-in-parallell/
How to Run Coding Agents in Parallel | Towards Data Science
Jan 15, 2026 - Get the most out of Claude Code
how toin paralleldata scienceruncoding
https://aclanthology.org/2021.acl-short.87/
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models? -...
Mihir Kale, Aditya Siddhant, Rami Al-Rfou, Linting Xue, Noah Constant, Melvin Johnson. Proceedings of the 59th Annual Meeting of the Association for...
paralleldatastillrelevantpre
https://huggingface.co/papers/2304.11277
Paper page - PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
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paperpytorchexperiencesscalingfully