Abstract is missing.
- Opportunities and Challenges Of Machine Learning Accelerators In ProductionRajagopal Ananthanarayanan, Peter Brandt, Manasi Joshi, Maheswaran Sathiamoorthy. 1-3 [doi]
- Accelerating Large Scale Deep Learning Inference through DeepCPU at MicrosoftMinjia Zhang, Samyam Rajbhandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He. 5-7 [doi]
- MLOp Lifecycle Scheme for Vision-based Inspection Process in ManufacturingJunsung Lim, Hoejoo Lee, Youngmin Won, Hunje Yeon. 9-11 [doi]
- Shooting the moving target: machine learning in cybersecurityAnkit Arun, Ignacio Arnaldo. 13-14 [doi]
- Deep Learning Inference Service at MicrosoftJonathan Soifer, Jason Li, Mingqin Li, Jeffrey Zhu, Yingnan Li, Yuxiong He, Elton Zheng, Adi Oltean, Maya Mosyak, Chris Barnes, Thomas Liu, Junhua Wang. 15-17 [doi]
- Towards Taming the Resource and Data Heterogeneity in Federated LearningZheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng. 19-21 [doi]
- MPP: Model Performance PredictorSindhu Ghanta, Sriram Subramanian, Lior Khermosh, Harshil Shah, Yakov Goldberg, Swaminathan Sundararaman, Drew S. Roselli, Nisha Talagala. 23-25 [doi]
- Low-latency Job Scheduling with Preemption for the Development of Deep LearningHidehito Yabuuchi, Daisuke Taniwaki, Shingo Omura. 27-30 [doi]
- tensorflow-tracing: A Performance Tuning Framework for ProductionSayed Hadi Hashemi, Paul Rausch, Benjamin Rabe, Kuan-Yen Chou, Simeng Liu, Volodymyr V. Kindratenko, Roy H. Campbell. 31-33 [doi]
- Disdat: Bundle Data Management for Machine Learning PipelinesKen Yocum, Sean Rowan, Jonathan Lunt, Theodore M. Wong. 35-37 [doi]
- TonY: An Orchestrator for Distributed Machine Learning JobsAnthony Hsu, Keqiu Hu, Jonathan Hung, Arun Suresh, Zhe Zhang. 39-41 [doi]
- Transfer Learning for Performance Modeling of Deep Neural Network SystemsMd Shahriar Iqbal, Lars Kotthoff, Pooyan Jamshidi. 43-46 [doi]
- KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural NetworksSaman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao 0002. 47-49 [doi]
- Continuous Training for Production ML in the TensorFlow Extended (TFX) PlatformDenis Baylor, Kevin Haas, Konstantinos Katsiapis, Sammy Leong, Rose Liu, Clemens Menwald, Hui Miao, Neoklis Polyzotis, Mitchell Trott, Martin Zinkevich. 51-53 [doi]
- Katib: A Distributed General AutoML Platform on KubernetesJinan Zhou, Andrey Velichkevich, Kirill Prosvirov, Anubhav Garg, Yuji Oshima, Debo Dutta. 55-57 [doi]
- Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics TasksAnirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano. 59-61 [doi]