add 3 systems papers

_publications/2023-05-15-axonn-pipelining.ipdps.md

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+---
+title: "AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning"
+collection: publications
+category: conferences
+permalink: 
+excerpt:  ""
+author_list: '<b>S. Singh</b>, A. Bhatele'
+date: 2022-05-30 
+venue: "2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)"
+paperurl: 'https://ieeexplore.ieee.org/abstract/document/9820664'
+pdf: /publications/paper_pdfs/axonn_pp.pdf
+citation: |
+  @INPROCEEDINGS{9820664,
+  author={Singh, Siddharth and Bhatele, Abhinav},
+  booktitle={2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}, 
+  title={AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning}, 
+  year={2022},
+  volume={},
+  number={},
+  pages={606-616},
+  keywords={Training;Deep learning;Schedules;Neural networks;Memory management;Graphics processing units;Clustering algorithms;parallel deep learning;asynchrony;message driven scheduling;memory optimizations},
+  doi={10.1109/IPDPS53621.2022.00065}}
+
+---
+
+

_publications/2023-05-15-axonn-pruning-ipdps.md

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+---
+title: "Exploiting sparsity in pruned neural networks to optimize large model training"
+collection: publications
+category: conferences
+permalink: 
+excerpt:  ""
+author_list: '<b>S. Singh</b>, A. Bhatele'
+date: 2023-05-15 
+venue: "2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)"
+paperurl: 'https://ieeexplore.ieee.org/abstract/document/10177389'
+pdf: /publications/paper_pdfs/axonn_pruning.pdf
+citation: |
+  @INPROCEEDINGS{10177389,
+  author={Singh, Siddharth and Bhatele, Abhinav},
+  booktitle={2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}, 
+  title={Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training}, 
+  year={2023},
+  volume={},
+  number={},
+  pages={245-255},
+  keywords={Deep learning;Training;Artificial satellites;Computational modeling;Neural networks;Memory management;Parallel processing;lottery ticket hypothesis;sparse computations;GPUs;parallel deep learning;memory optimizations},
+  doi={10.1109/IPDPS54959.2023.00033}}
+---
+
+