added w2 readings

hao-ai-lab · Apr 9, 2024 · c6ca9c3 · c6ca9c3
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diff --git a/_modules/week-01.md b/_modules/week-01.md
@@ -12,5 +12,5 @@ Apr 2
 
 Apr 4
 : **2**{: .label} Basics: Deep learning, computational graph, autodiff, ML frameworks - 1
-  : [Slides](assets/slides/2_machine-learning-program.pdf) &#8226; [Recording]()
+  : [Slides](assets/slides/2_machine-learning-program.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d01)
 : *Reading:* N/A
diff --git a/_modules/week-02.md b/_modules/week-02.md
@@ -8,15 +8,14 @@ Apr 9
 : **3**{: .label} Basics: Deep learning, computational graph, autodiff, ML frameworks - 2
   <!--: [Slides]() &#8226; [Recording]()-->
 : *Reading:* N/A
-<!--* [OSTEP Chapter 4 (required)](https://pages.cs.wisc.edu/~remzi/OSTEP/cpu-intro.pdf)-->
-<!--* [OSTEP Chapter 6 (optional)](https://pages.cs.wisc.edu/~remzi/OSTEP/cpu-mechanisms.pdf)-->
-<!--* [OSTEP Chapter 7 (optional)](https://pages.cs.wisc.edu/~remzi/OSTEP/cpu-sched.pdf)-->
-
+* [TensorFlow: A system for large-scale machine learning (required)](https://arxiv.org/pdf/1605.08695.pdf)
+* [PyTorch Distributed: Experiences on Accelerating Data Parallel Training (optional)](https://arxiv.org/pdf/2006.15704.pdf)
+* [Petuum: A New Platform for Distributed Machine Learning on Big Data (optional)](https://arxiv.org/pdf/1312.7651.pdf)
 
 Apr 11
 : **4**{: .label} 
   <!--: [Slides]() &#8226; [Recording]()-->
 : *Reading:* N/A
-<!--* [OSTEP Chapter 18 (required)](https://pages.cs.wisc.edu/~remzi/OSTEP/vm-paging.pdf)-->
-<!--* [OSTEP Chapter 15 (optional)](https://pages.cs.wisc.edu/~remzi/OSTEP/vm-mechanism.pdf)-->
-<!--* [OSTEP Chapter 16 (optional)](https://pages.cs.wisc.edu/~remzi/OSTEP/vm-segmentation.pdf)-->
+* [TensorFlow: A system for large-scale machine learning (required)](https://arxiv.org/pdf/1605.08695.pdf)
+* [PyTorch Distributed: Experiences on Accelerating Data Parallel Training (optional)](https://arxiv.org/pdf/2006.15704.pdf)
+* [Petuum: A New Platform for Distributed Machine Learning on Big Data (optional)](https://arxiv.org/pdf/1312.7651.pdf)