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58
book/quarto/contents/vol1/backmatter/references.bib
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@@ -382,7 +382,7 @@
}
@article{ansible,
title = {Automating Server Deployments with Ansible: Utilizing Automation in DevOps.},
title = {Automating Server Deployments with Ansible: Utilizing Automation in DevOps},
author = {Hatcher, Blake Douglas},
year = {2024},
journal = {J. Comput. Sci. Coll.},
@@ -484,7 +484,7 @@
@inproceedings{armbrust2021lakehouse,
title = {
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced
Analytics.
Analytics
},
author = {Zaharia, Matei and Ghodsi, Ali and Xin, Reynold and Armbrust, Michael},
year = {2021},
@@ -1393,7 +1393,7 @@
@book{brynjolfsson2014second,
title = {
The second machine age: work, progress, and prosperity in a time of brilliant technologies, 1st
Edition.
Edition
},
author = {Brynjolfsson, Erik and McAfee, Andrew},
year = {2014},
@@ -1419,7 +1419,7 @@
}
@inproceedings{buolamwini2018gender,
title = {Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.},
title = {Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification},
author = {Buolamwini, Joy and Gebru, Timnit},
year = {2018},
journal = {FAT},
@@ -1669,7 +1669,7 @@
}
@inproceedings{chen2018tvm,
title = {TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.},
title = {TVM: An Automated End-to-End Optimizing Compiler for Deep Learning},
author = {
Chen, Tianqi and Moreau, Thierry and Jiang, Ziheng and Zheng, Lianmin and Yan, Eddie Q. and
Shen, Haichen and Cowan, Meghan and Wang, Leyuan and Hu, Yuwei and Ceze, Luis and Guestrin,
@@ -2515,7 +2515,7 @@
}
@inproceedings{dean2012large,
title = {Large Scale Distributed Deep Networks.},
title = {Large Scale Distributed Deep Networks},
author = {
Dean, Jeffrey and Corrado, Greg and Monga, Rajat and Chen, Kai and Devin, Matthieu and Le, Quoc
V. and Mao, Mark Z. and Ranzato, Marc'Aurelio and Senior, Andrew W. and Tucker, Paul A. and
@@ -3190,7 +3190,7 @@
}
@article{fayyad1996kdd,
title = {From Data Mining to Knowledge Discovery in Databases.},
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author = {Fayyad, Usama M. and Piatetsky-Shapiro, Gregory and Smyth, Padhraic},
year = {1996},
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@@ -3354,7 +3354,7 @@
}
@inproceedings{frankle2019lottery,
title = {The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.},
title = {The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks},
author = {Frankle, Jonathan and Carbin, Michael},
year = {2019},
journal = {ICLR},
@@ -3496,7 +3496,7 @@
}
@article{gawande2009checklist,
title = {The Q-List manifesto: How to get things right in generalist medical practice.},
title = {The Q-List manifesto: How to get things right in generalist medical practice},
author = {Ventres, William B.},
journal = {Families, Systems, \& Health},
publisher = {American Psychological Association (APA)},
@@ -3647,7 +3647,7 @@
}
@inproceedings{gitlab,
title = {GitLab2PROV - Provenance of Software Projects hosted on GitLab.},
title = {GitLab2PROV - Provenance of Software Projects hosted on GitLab},
author = {Schreiber, Andreas and de Boer, Claas and von Kurnatowski, Lynn},
year = {2021},
booktitle = {
@@ -3663,7 +3663,7 @@
}
@inproceedings{glorot2010understanding,
title = {Understanding the difficulty of training deep feedforward neural networks.},
title = {Understanding the difficulty of training deep feedforward neural networks},
author = {Glorot, Xavier and Bengio, Yoshua},
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journal = {AISTATS},
@@ -4632,7 +4632,7 @@
}
@inproceedings{holtzman2020curious,
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booktitle = {Proceedings of the 8th International Conference on Learning Representations (ICLR 2020)},
@@ -5772,7 +5772,7 @@
}
@inproceedings{koh2021wilds,
title = {WILDS: A Benchmark of in-the-Wild Distribution Shifts.},
title = {WILDS: A Benchmark of in-the-Wild Distribution Shifts},
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Koh, Pang Wei and Sagawa, Shiori and Marklund, Henrik and Xie, Sang Michael and Zhang, Marvin
and Balsubramani, Akshay and Hu, Weihua and Yasunaga, Michihiro and Phillips, Richard Lanas and
@@ -6315,7 +6315,7 @@
}
@inproceedings{lecun1990optimal,
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@@ -6507,7 +6507,7 @@
}
@article{Li2021,
title = {Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization.},
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author = {
Li, Lisha and Jamieson, Kevin G. and DeSalvo, Giulia and Rostamizadeh, Afshin and Talwalkar,
Ameet
@@ -6837,7 +6837,7 @@
}
@inproceedings{loshchilov2019adamw,
title = {Decoupled Weight Decay Regularization.},
title = {Decoupled Weight Decay Regularization},
author = {Loshchilov, Ilya and Hutter, Frank},
year = {2019},
journal = {ICLR},
@@ -7096,7 +7096,7 @@
}
@inproceedings{mcmahan2017federated,
title = {Communication-Efficient Learning of Deep Networks from Decentralized Data.},
title = {Communication-Efficient Learning of Deep Networks from Decentralized Data},
author = {
McMahan, Brendan and Moore, Eider and Ramage, Daniel and Hampson, Seth and y Arcas, Blaise
Ag\"{u}era
@@ -7554,7 +7554,7 @@
}
@inproceedings{nair2010rectified,
title = {Rectified Linear Units Improve Restricted Boltzmann Machines.},
title = {Rectified Linear Units Improve Restricted Boltzmann Machines},
author = {Nair, Vinod and Hinton, Geoffrey E.},
year = {2010},
journal = {ICML},
@@ -8505,7 +8505,7 @@
}
@misc{perrault2024artificial,
title = {Artificial Intelligence Index Report 2024.},
title = {Artificial Intelligence Index Report 2024},
author = {
Maslej, Nestor and Fattorini, Loredana and Perrault, C. Raymond and Parli, Vanessa and Reuel,
Anka and Brynjolfsson, Erik and Etchemendy, John and Ligett, Katrina and Lyons, Terah and
@@ -9316,7 +9316,7 @@
}
@article{rosenblatt1958perceptron,
title = {The perceptron: A probabilistic model for information storage and organization in the brain.},
title = {The perceptron: A probabilistic model for information storage and organization in the brain},
author = {Rosenblatt, F.},
journal = {Psychological Review},
publisher = {American Psychological Association (APA)},
@@ -9641,7 +9641,7 @@
}
@inproceedings{sener2018active,
title = {Active Learning for Convolutional Neural Networks: A Core-Set Approach.},
title = {Active Learning for Convolutional Neural Networks: A Core-Set Approach},
author = {Sener, Ozan and Savarese, Silvio},
year = {2018},
journal = {ICLR},
@@ -10107,7 +10107,7 @@
}
@article{srivastava2014dropout,
title = {Dropout: a simple way to prevent neural networks from overfitting.},
title = {Dropout: a simple way to prevent neural networks from overfitting},
author = {
Srivastava, Nitish and Hinton, Geoffrey E. and Krizhevsky, Alex and Sutskever, Ilya and
Salakhutdinov, Ruslan
@@ -10654,7 +10654,7 @@
}
@misc{thyagarajan2023multilabel,
title = {Identifying Incorrect Annotations in Multi-Label Classification Data.},
title = {Identifying Incorrect Annotations in Multi-Label Classification Data},
author = {Thyagarajan, Aditya and Snorrason, El\'{\i}as and Northcutt, Curtis G. and Mueller, Jonas},
year = {2022},
journal = {CoRR},
@@ -10880,7 +10880,7 @@
}
@inproceedings{vasisht2017farmbeats,
title = {FarmBeats: An IoT Platform for Data-Driven Agriculture.},
title = {FarmBeats: An IoT Platform for Data-Driven Agriculture},
author = {
Vasisht, Deepak and Kapetanovic, Zerina and Won, Jongho and Jin, Xinxin and Chandra, Ranveer
and Sinha, Sudipta N. and Kapoor, Ashish and Sudarshan, Madhusudhan and Stratman, Sean
@@ -11222,7 +11222,7 @@
}
@inproceedings{wei2022chain,
title = {Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.},
title = {Chain-of-Thought Prompting Elicits Reasoning in Large Language Models},
author = {
Wei, Jason and Wang, Xuezhi and Schuurmans, Dale and Bosma, Maarten and Ichter, Brian and Xia,
Fei and Chi, Ed H. and Le, Quoc V. and Zhou, Denny
@@ -11751,7 +11751,7 @@
}
@inproceedings{yu2022orca,
title = {Orca: A Distributed Serving System for Transformer-Based Generative Models.},
title = {Orca: A Distributed Serving System for Transformer-Based Generative Models},
author = {Yu, Gyeong-In and Jeong, Joo Seong and Kim, Geon-Woo and Kim, Soojeong and Chun, Byung-Gon},
year = {2022},
journal = {OSDI},
@@ -11766,7 +11766,7 @@
}
@inproceedings{zaharia2010spark,
title = {Spark: Cluster Computing with Working Sets.},
title = {Spark: Cluster Computing with Working Sets},
author = {
Zaharia, Matei and Chowdhury, Mosharaf and Franklin, Michael J. and Shenker, Scott and Stoica,
Ion
@@ -11820,8 +11820,6 @@
x-verified-source = {http://arxiv.org/abs/2101.08596v1},
}
% --- citation-cleanup 2026-04-27 (plain-text ->
@key) ---
@inproceedings{zhang2016understanding,
title = {Understanding deep learning requires rethinking generalization},
author = {Zhang, Chiyuan and Bengio, Samy and Hardt, Moritz and Recht, Benjamin and Vinyals, Oriol},
@@ -11921,7 +11919,7 @@
@inproceedings{zhang2019mark,
title = {
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference
Serving.
Serving
},
author = {Zhang, Chengliang and Yu, Minchen and Wang, Wei and Yan, Feng},
year = {2019},

83
book/quarto/contents/vol2/backmatter/references.bib
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@@ -22,7 +22,7 @@
}
@inproceedings{abadi2016tensorflow,
title = {TensorFlow: A System for Large-Scale Machine Learning.},
title = {TensorFlow: A System for Large-Scale Machine Learning},
author = {
Abadi, Mart\'in and 0001, Paul Barham and Chen, Jianmin and Chen, Zhifeng and Davis, Andy and
Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Irving, Geoffrey and Isard, Michael
@@ -251,7 +251,7 @@
}
@inproceedings{alistarh2017qsgd,
title = {QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding.},
title = {QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding},
author = {Alistarh, Dan and Grubic, Demjan and 0001, Jerry Li and Tomioka, Ryota and Vojnovic, Milan},
year = {2017},
journal = {NIPS},
@@ -1034,7 +1034,7 @@
}
@inproceedings{biggio2012poisoning,
title = {Poisoning Attacks against Support Vector Machines.},
title = {Poisoning Attacks against Support Vector Machines},
author = {Biggio, Battista and Nelson, Blaine and Laskov, Pavel},
year = {2012},
journal = {ICML},
@@ -1130,7 +1130,7 @@
}
@inproceedings{blanchard2017machine,
title = {Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent.},
title = {Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent},
author = {Blanchard, Peva and Mhamdi, El Mahdi El and Guerraoui, Rachid and Stainer, Julien},
year = {2017},
journal = {NIPS},
@@ -1448,7 +1448,7 @@
}
@inproceedings{buolamwini2018gender,
title = {Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.},
title = {Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification},
author = {Buolamwini, Joy and Gebru, Timnit},
year = {2018},
journal = {FAT},
@@ -1663,7 +1663,7 @@
}
@inproceedings{carlini2016hidden,
title = {Hidden Voice Commands.},
title = {Hidden Voice Commands},
author = {
Carlini, Nicholas and 0001, Pratyush Mishra and Vaidya, Tavish and 0001, Yuankai Zhang and
Sherr, Micah and Shields, Clay and 0001, David A. Wagner and Zhou, Wenchao
@@ -1974,7 +1974,7 @@
}
@inproceedings{chen2019looks,
title = {This Looks Like That: Deep Learning for Interpretable Image Recognition.},
title = {This Looks Like That: Deep Learning for Interpretable Image Recognition},
author = {
Chen, Chaofan and Li, Oscar and Tao, Daniel and Barnett, Alina and Rudin, Cynthia and Su,
Jonathan
@@ -2600,7 +2600,7 @@
}
@inproceedings{dean2012distbelief,
title = {Large Scale Distributed Deep Networks.},
title = {Large Scale Distributed Deep Networks},
author = {
Dean, Jeffrey and Corrado, Greg and Monga, Rajat and 0010, Kai Chen and Devin, Matthieu and Le,
Quoc V. and Mao, Mark Z. and Ranzato, Marc'Aurelio and Senior, Andrew W. and Tucker, Paul A.
@@ -2620,7 +2620,7 @@
}
@inproceedings{dean2012large,
title = {Large Scale Distributed Deep Networks.},
title = {Large Scale Distributed Deep Networks},
author = {
Dean, Jeffrey and Corrado, Greg and Monga, Rajat and 0010, Kai Chen and Devin, Matthieu and Le,
Quoc V. and Mao, Mark Z. and Ranzato, Marc'Aurelio and Senior, Andrew W. and Tucker, Paul A.
@@ -3210,7 +3210,7 @@
}
@inproceedings{eisenman2022check,
title = {Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models.},
title = {Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models},
author = {
Eisenman, Assaf and Matam, Kiran Kumar and Ingram, Steven and Mudigere, Dheevatsa and
Krishnamoorthi, Raghuraman and Nair, Krishnakumar and Smelyanskiy, Misha and Annavaram, Murali
@@ -3537,7 +3537,7 @@
}
@incollection{fordham2020planned,
title = {CONSUMER PROTECTION AGAINST PLANNED OBSOLESCENCE.},
title = {CONSUMER PROTECTION AGAINST PLANNED OBSOLESCENCE},
author = {Luna, William Fernando Mart\'{\i}nez},
journal = {Journal of Technology Ethics},
booktitle = {Planned obsolescence and the rulle of law},
@@ -3613,7 +3613,7 @@
}
@misc{frantar2023gptq,
title = {GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.},
title = {GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers},
author = {Frantar, Elias and Ashkboos, Saleh and Hoefler, Torsten and Alistarh, Dan},
year = {2023},
journal = {CoRR},
@@ -3861,7 +3861,7 @@
}
@misc{gemini2023,
title = {Gemini: A Family of Highly Capable Multimodal Models.},
title = {Gemini: A Family of Highly Capable Multimodal Models},
author = {Team, Gemini},
year = {2023},
journal = {CoRR},
@@ -4155,7 +4155,7 @@
}
@inproceedings{gpipe2019,
title = {GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.},
title = {GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism},
author = {
Huang, Yanping and Cheng, Youlong and Bapna, Ankur and Firat, Orhan and Chen, Dehao and Chen,
Mia Xu and Lee, HyoukJoong and Ngiam, Jiquan and Le, Quoc V. and Wu, Yonghui and Chen, Zhifeng
@@ -4292,7 +4292,7 @@
}
@inproceedings{gu2019tiresias,
title = {Tiresias: A GPU Cluster Manager for Distributed Deep Learning.},
title = {Tiresias: A GPU Cluster Manager for Distributed Deep Learning},
author = {
Gu, Juncheng and Chowdhury, Mosharaf and Shin, Kang G. and Zhu, Yibo and Jeon, Myeongjae and
Qian, Junjie and Liu, Hongqiang Harry and Guo, Chuanxiong
@@ -4734,7 +4734,7 @@
}
@inproceedings{hebert2018multicalibration,
title = {Multicalibration: Calibration for the (Computationally-Identifiable) Masses.},
title = {Multicalibration: Calibration for the (Computationally-Identifiable) Masses},
author = {H\'ebert-Johnson, \'Ursula and Kim, Michael P. and Reingold, Omer and Rothblum, Guy N.},
year = {2018},
journal = {ICML},
@@ -4902,7 +4902,7 @@
@article{hipaa1996health,
title = {
The Health Insurance Portability and Accountability Act of 1996: understanding the
anti-kickback laws.
anti-kickback laws
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@@ -4943,7 +4943,7 @@
}
@article{hopfield1982neural,
title = {Neural networks and physical systems with emergent collective computational abilities.},
title = {Neural networks and physical systems with emergent collective computational abilities},
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@@ -5075,7 +5075,7 @@
}
@inproceedings{huang2019gpipe,
title = {GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.},
title = {GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism},
author = {
Huang, Yanping and Cheng, Youlong and Bapna, Ankur and Firat, Orhan and Chen, Dehao and Chen,
Mia Xu and Lee, HyoukJoong and Ngiam, Jiquan and Le, Quoc V. and Wu, Yonghui and Chen, Zhifeng
@@ -6391,7 +6391,7 @@
}
@inproceedings{li2014parameter,
title = {Scaling Distributed Machine Learning with the Parameter Server.},
title = {Scaling Distributed Machine Learning with the Parameter Server},
author = {
Li, Mu and Andersen, David G. and Park, Jun Woo and Smola, Alexander J. and Ahmed, Amr and
Josifovski, Vanja and Long, James and Shekita, Eugene J. and Su, Bor-Yiing
@@ -6409,7 +6409,7 @@
}
@inproceedings{li2014scaling,
title = {Scaling Distributed Machine Learning with the Parameter Server.},
title = {Scaling Distributed Machine Learning with the Parameter Server},
author = {
Li, Mu and Andersen, David G. and Park, Jun Woo and Smola, Alexander J. and Ahmed, Amr and
Josifovski, Vanja and Long, James and Shekita, Eugene J. and Su, Bor-Yiing
@@ -6778,7 +6778,7 @@
}
@inproceedings{lopez2017gradient,
title = {Gradient Episodic Memory for Continual Learning.},
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booktitle = {Advances in Neural Information Processing Systems 30 (NeurIPS 2017)},
@@ -7186,7 +7186,7 @@
}
@inproceedings{mcmahan2017communication,
title = {Communication-Efficient Learning of Deep Networks from Decentralized Data.},
title = {Communication-Efficient Learning of Deep Networks from Decentralized Data},
author = {
McMahan, Brendan and Moore, Eider and Ramage, Daniel and Hampson, Seth and y Arcas, Blaise
Ag\"uera
@@ -7209,7 +7209,7 @@
}
@inproceedings{mcmahan2017communicationefficient,
title = {Communication-Efficient Learning of Deep Networks from Decentralized Data.},
title = {Communication-Efficient Learning of Deep Networks from Decentralized Data},
author = {
McMahan, Brendan and Moore, Eider and Ramage, Daniel and Hampson, Seth and y Arcas, Blaise
Ag\"uera
@@ -7559,7 +7559,7 @@
}
@inproceedings{moritz2018ray,
title = {Ray: A Distributed Framework for Emerging AI Applications.},
title = {Ray: A Distributed Framework for Emerging AI Applications},
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Moritz, Philipp and Nishihara, Robert and Wang, Stephanie and Tumanov, Alexey and Liaw, Richard
and Liang, Eric and Elibol, Melih and Yang, Zongheng and Paul, William and Jordan, Michael I.
@@ -8500,7 +8500,7 @@
}
@inproceedings{pinheiro2007failure,
title = {Failure Trends in a Large Disk Drive Population.},
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journal = {FAST},
@@ -8673,7 +8673,7 @@
},
journal = {The MIT Press},
publisher = {The MIT Press},
pages = {xi-xvi},
pages = {xi--xvi},
doi = {10.7551/mitpress/7921.003.0002},
isbn = {9780262255103},
url = {https://doi.org/10.7551/mitpress/7921.003.0002},
@@ -9082,7 +9082,7 @@
}
@incollection{rosenblatt2021disposable,
title = {CONSUMER PROTECTION AGAINST PLANNED OBSOLESCENCE.},
title = {CONSUMER PROTECTION AGAINST PLANNED OBSOLESCENCE},
author = {Luna, William Fernando Mart\'{\i}nez},
journal = {Journal of Digital Policy},
booktitle = {Planned obsolescence and the rulle of law},
@@ -9231,7 +9231,7 @@
@article{ryan2000self,
title = {
Self-determination theory and the facilitation of intrinsic motivation, social development, and
well-being.
well-being
},
author = {Ryan, Richard M. and Deci, Edward L.},
year = {2000},
@@ -9515,7 +9515,7 @@
}
@inproceedings{sculley2015hidden,
title = {Hidden Technical Debt in Machine Learning Systems.},
title = {Hidden Technical Debt in Machine Learning Systems},
author = {
Sculley, D. and Holt, Gary and Golovin, Daniel and Davydov, Eugene and Phillips, Todd and
Ebner, Dietmar and Chaudhary, Vinay and Young, Michael and Crespo, Jean-Fran{\c{c}}ois and
@@ -9769,7 +9769,7 @@
@inproceedings{sheaffer2007hardware,
title = {
A hardware redundancy and recovery mechanism for reliable scientific computation on graphics
processors.
processors
},
author = {Sheaffer, Jeremy W. and Luebke, David P. and Skadron, Kevin},
year = {2007},
@@ -9813,7 +9813,7 @@
publisher = {American Academy of Pediatrics (AAP)},
volume = {10},
number = {11},
pages = {e8-e10},
pages = {e8--e10},
doi = {10.1542/hpeds.2020-002303},
issn = {2154-1663,2154-1671},
url = {https://doi.org/10.1542/hpeds.2020-002303},
@@ -10129,7 +10129,7 @@
}
@article{srivastava2014dropout,
title = {Dropout: a simple way to prevent neural networks from overfitting.},
title = {Dropout: a simple way to prevent neural networks from overfitting},
author = {
Srivastava, Nitish and Hinton, Geoffrey E. and Krizhevsky, Alex and Sutskever, Ilya and
Salakhutdinov, Ruslan
@@ -11153,7 +11153,7 @@
}
@inproceedings{vasisht2017farmbeats,
title = {FarmBeats: An IoT Platform for Data-Driven Agriculture.},
title = {FarmBeats: An IoT Platform for Data-Driven Agriculture},
author = {
Vasisht, Deepak and Kapetanovic, Zerina and Won, Jongho and Jin, Xinxin and Chandra, Ranveer
and Sinha, Sudipta N. and Kapoor, Ashish and Sudarshan, Madhusudhan and Stratman, Sean
@@ -11360,7 +11360,7 @@
}
@inproceedings{wei2022chain,
title = {Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.},
title = {Chain-of-Thought Prompting Elicits Reasoning in Large Language Models},
author = {
Wei, Jason and 0002, Xuezhi Wang and Schuurmans, Dale and Bosma, Maarten and Ichter, Brian and
0002, Fei Xia and Chi, Ed H. and Le, Quoc V. and Zhou, Denny
@@ -11602,7 +11602,7 @@
}
@inproceedings{xiao2023smoothquant,
title = {SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.},
title = {SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models},
author = {
Xiao, Guangxuan and 0002, Ji Lin and Seznec, Micka\"el and Wu, Hao and Demouth, Julien and
0003, Song Han
@@ -11770,7 +11770,7 @@
}
@inproceedings{yu2022orca,
title = {Orca: A Distributed Serving System for Transformer-Based Generative Models.},
title = {Orca: A Distributed Serving System for Transformer-Based Generative Models},
author = {Yu, Gyeong-In and Jeong, Joo Seong and Kim, Geon-Woo and Kim, Soojeong and Chun, Byung-Gon},
year = {2022},
journal = {OSDI},
@@ -11931,8 +11931,6 @@
x-verified-source = {https://doi.org/10.1109/tse.2007.70771},
}
% --- citation-cleanup 2026-04-27 (plain-text ->
@key) ---
@inproceedings{zhang2016understanding,
title = {Understanding deep learning requires rethinking generalization},
author = {Zhang, Chiyuan and Bengio, Samy and Hardt, Moritz and Recht, Benjamin and Vinyals, Oriol},
@@ -12192,15 +12190,14 @@
@inproceedings{zu2024tpuv4,
title = {Resiliency at Scale: Managing {Google}'s {TPUv4} Machine Learning Supercomputer},
author = {
Zu, Yazhou and Ghaffarkhah, Alireza and Dang, Hoang-Vu and Towles, Brian and Hand, Steven
and Huda, Safeen and Bello, Adekunle and Kolbasov, Alexander and Rezaei, Arash and Du, Dayou
and Lacy, Steve and Wang, Hang and Wisner, Aaron and Lewis, Chris and Bahini, Henri
Zu, Yazhou and Ghaffarkhah, Alireza and Dang, Hoang-Vu and Towles, Brian and Hand, Steven and
Huda, Safeen and Bello, Adekunle and Kolbasov, Alexander and Rezaei, Arash and Du, Dayou and
Lacy, Steve and Wang, Hang and Wisner, Aaron and Lewis, Chris and Bahini, Henri
},
year = {2024},
month = apr,
booktitle = {21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)},
publisher = {USENIX Association},
address = {Santa Clara, CA},
pages = {761--774},
isbn = {978-1-939133-39-7},
url = {https://www.usenix.org/conference/nsdi24/presentation/zu},

5
interviews/paper/references.bib
View File

@@ -19,6 +19,7 @@
},
year = {2024},
booktitle = {18th USENIX Symposium on Operating Systems Design and Implementation (OSDI)},
publisher = {USENIX Association},
pages = {117--134},
url = {https://www.usenix.org/conference/osdi24/presentation/agrawal},
note = {
@@ -190,6 +191,7 @@
author = {Frantar, Elias and Ashkboos, Saleh and Hoefler, Torsten and Alistarh, Dan},
year = {2023},
booktitle = {International Conference on Learning Representations (ICLR)},
publisher = {OpenReview.net},
url = {https://arxiv.org/abs/2210.17323},
note = {GPTQ: layer-by-layer one-shot post-training INT4 quantization for LLMs},
x-verified = {2026-04-26},
@@ -250,6 +252,7 @@
},
year = {2021},
booktitle = {International Conference on Learning Representations (ICLR)},
publisher = {OpenReview.net},
url = {https://arxiv.org/abs/2009.03300},
note = {MMLU: 57-subject benchmark for evaluating domain coverage and difficulty calibration},
x-verified = {2026-04-26},
@@ -360,6 +363,7 @@
},
year = {2024},
booktitle = {Proceedings of Machine Learning and Systems (MLSys)},
publisher = {mlsys.org},
url = {https://arxiv.org/abs/2306.00978},
note = {AWQ: salient-weight-aware INT4 weight-only quantization for LLM serving},
x-verified = {2026-04-26},
@@ -799,6 +803,7 @@
},
year = {2023},
booktitle = {Advances in Neural Information Processing Systems 36: Datasets and Benchmarks Track},
publisher = {Neural Information Processing Systems Foundation},
url = {
https://proceedings.neurips.cc/paper_files/paper/2023/hash/91f18a1287b398d378ef22505bf41832-Abstract-Datasets_and_Benchmarks.html
},

1
mlsysim/docs/references.bib
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@@ -377,6 +377,7 @@
author = {Pope, Reiner and Douglas, Sholto and Chowdhery, Aakanksha and others},
year = {2023},
booktitle = {Proceedings of Machine Learning and Systems (MLSys)},
publisher = {mlsys.org},
volume = {5},
url = {
https://proceedings.mlsys.org/paper_files/paper/2023/hash/c4be71ab8d24cdfb45e3d06dbfca2780-Abstract-mlsys2023.html

4
mlsysim/mlsysim/core/defaults.py
View File

@@ -9,12 +9,12 @@ from .provenance import TraceableConstant
# --- Reliability (Component MTTF) ---
# Mean Time To Failure for datacenter-grade components.
# Source: Meta (2024), Google (2024), Barroso et al. (2018)
# Traceability: Kokolis et al. (HPCA 2025), Zu et al. (NSDI 2024), Barroso et al. (DASC 3e) — see appendix_reliability.qmd @tbl-component-fit
GPU_MTTF_HOURS = TraceableConstant(
50_000,
name="GPU Mean Time To Failure",
description="Steady-state MTTF for datacenter-grade GPU in continuous operation.",
citation="Meta (2024), Google (2024), Barroso et al. (2018)"
citation="kokolis2025reliability, zu2024tpuv4, barroso2019datacenter (MLSysBook appendix)",
)
NIC_MTTF_HOURS = 150_000 # Network interface card
PSU_MTTF_HOURS = 100_000 # Power supply unit

1
mlsysim/paper/references.bib
View File

@@ -635,6 +635,7 @@
author = {Pope, Reiner and Douglas, Sholto and Chowdhery, Aakanksha and others},
year = {2023},
booktitle = {Proceedings of Machine Learning and Systems (MLSys)},
publisher = {mlsys.org},
volume = {5},
url = {
https://proceedings.mlsys.org/paper_files/paper/2023/hash/c4be71ab8d24cdfb45e3d06dbfca2780-Abstract-mlsys2023.html

1
periodic-table/paper/references.bib
View File

@@ -152,6 +152,7 @@
},
year = {2023},
booktitle = {Proceedings of Machine Learning and Systems},
publisher = {mlsys.org},
volume = {5},
url = {
https://proceedings.mlsys.org/paper/2023/file/80083951326cf5b35e5100260d64ed81-Paper-mlsys2023.pdf

4
tinytorch/paper/references.bib
View File

@@ -142,7 +142,7 @@
}
@inproceedings{christopher1993nachos,
title = {The Nachos Instructional Operating System.},
title = {The Nachos Instructional Operating System},
author = {Christopher, Wayne A. and Procter, Steven J. and Anderson, Thomas E.},
year = {1993},
journal = {USENIX Winter},
@@ -672,7 +672,7 @@
}
@article{rosenblatt1958perceptron,
title = {The perceptron: A probabilistic model for information storage and organization in the brain.},
title = {The perceptron: A probabilistic model for information storage and organization in the brain},
author = {Rosenblatt, F.},
year = {1958},
journal = {Psychological Review},