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title: Week 9 | ||
class: DSC204A | ||
status: not Active | ||
class: DSC291 | ||
status: Active | ||
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Mar 4 | ||
: **1**{: .label} Guest Lecture - [Stephanie Wang](https://stephanie-wang.github.io/) | ||
: [Slides](assets/slides/UCSD_3_3_24_A_brief_history_of_the_Ray_ecosystem.pdf) • [Recording](https://drive.google.com/file/d/1KB5LWGNNkgOTWk_shgM4brYGGm7TsS0w/view?usp=sharing) • [Scribe Notes](assets/scribe_notes/Mar_4_scribe_note.pdf) | ||
May 28 | ||
: **1**{: .label} LLM - 2 | ||
: [Slides](assets/slides/15_llm-2.pdf) • [Recording](#) • | ||
: *Reading:* | ||
* [TensorFlow: A system for large-scale machine learning (required)](https://arxiv.org/pdf/1605.08695.pdf) | ||
* [Petuum: A New Platform for Distributed Machine Learning on Big Data (required)](https://arxiv.org/pdf/1312.7651.pdf) | ||
* [Scaling Distributed Machine Learning with the Parameter Server (required)](https://www.usenix.org/system/files/conference/osdi14/osdi14-paper-li_mu.pdf) | ||
* [PipeDream: Generalized Pipeline Parallelism for DNN Training (optional)](https://people.eecs.berkeley.edu/~matei/papers/2019/sosp_pipedream.pdf) | ||
* [PyTorch Distributed: Experiences on Accelerating Data Parallel Training (optional)](https://arxiv.org/pdf/2006.15704.pdf) | ||
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Mar 6 | ||
: **2**{: .label} ML System - 1 | ||
: [Slides](assets/slides/21_ml-system-1.pdf) • [Recording](https://podcast.ucsd.edu/watch/wi24/dsc204a_a00/24) • [Scribe Notes](assets/scribe_notes/Mar_6_scribe_note.pdf) | ||
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May 30 | ||
: **2**{: .label} | ||
: [Slides](#) • [Recording](h#) • | ||
: *Reading:* | ||
* [TensorFlow: A system for large-scale machine learning (required)](https://arxiv.org/pdf/1605.08695.pdf) | ||
* [Petuum: A New Platform for Distributed Machine Learning on Big Data (required)](https://arxiv.org/pdf/1312.7651.pdf) | ||
* [Scaling Distributed Machine Learning with the Parameter Server (required)](https://www.usenix.org/system/files/conference/osdi14/osdi14-paper-li_mu.pdf) | ||
* [PipeDream: Generalized Pipeline Parallelism for DNN Training (optional)](https://people.eecs.berkeley.edu/~matei/papers/2019/sosp_pipedream.pdf) | ||
* [PyTorch Distributed: Experiences on Accelerating Data Parallel Training (optional)](https://arxiv.org/pdf/2006.15704.pdf) | ||
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Mar 8 | ||
: **3**{: .label} Guest Lecture - [Prof. Ion Stoica](https://people.eecs.berkeley.edu/~istoica/) | ||
: [Slides](#) • [Recording](https://drive.google.com/file/d/1wp0pcSAZtmE3TQQ7vzn1_qBuCfNchzM9/view) • [Scribe Notes](assets/scribe_notes/Mar_8_scribe_note.pdf) | ||
: *Reading:* | ||
* [TensorFlow: A system for large-scale machine learning (required)](https://arxiv.org/pdf/1605.08695.pdf) | ||
* [Petuum: A New Platform for Distributed Machine Learning on Big Data (required)](https://arxiv.org/pdf/1312.7651.pdf) | ||
* [Scaling Distributed Machine Learning with the Parameter Server (required)](https://www.usenix.org/system/files/conference/osdi14/osdi14-paper-li_mu.pdf) | ||
* [PipeDream: Generalized Pipeline Parallelism for DNN Training (optional)](https://people.eecs.berkeley.edu/~matei/papers/2019/sosp_pipedream.pdf) | ||
* [PyTorch Distributed: Experiences on Accelerating Data Parallel Training (optional)](https://arxiv.org/pdf/2006.15704.pdf) | ||
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