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Tutorial
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Tue 8:00 |
ML-based Computer System Telemetry Analytics Burak Aksar |
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Workshop
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Thu 13:00 |
Invited Talk #2: Towards a General ML for Systems Methodology Martin Maas |
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Workshop
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Thu 9:10 |
Keynote: Advances in ML for Systems in Microsoft Azure |
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Oral Session
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Tue 13:00 |
ML for Systems |
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Oral Session
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Mon 16:00 |
Systems for ML 1 |
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Oral Session
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Tue 8:45 |
Systems for ML 2 |
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Workshop
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Thu 8:00 |
Practical Adoption Challenges of ML for Systems in Industry (PACMI) Deniz Altınbüken · Lyric Doshi · Milad Hashemi · Martin Maas |
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Invited Talk
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Mon 10:30 |
Systems for ML and ML for Systems: A Virtuous Cycle Kunle Olukotun |
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Oral
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Mon 16:36 |
Hydrozoa: Dynamic Hybrid-Parallel DNN Training on Serverless Containers Runsheng Guo · Victor Guo · Antonio Kim · Josh Hildred · Khuzaima Daudjee |
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Oral
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Tue 13:00 |
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems Ankur Mallick · Kevin Hsieh · Behnaz Arzani · Gauri Joshi |
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Oral
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Tue 16:54 |
dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training Hanpeng Hu · Chenyu Jiang · Yuchen Zhong · Yanghua Peng · Chuan Wu · Yibo Zhu · Haibin Lin · Chuanxiong Guo |
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Oral
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Tue 14:51 |
On the Utility of Gradient Compression in Distributed Training Systems Saurabh Agarwal · Hongyi Wang · Shivaram Venkataraman · Dimitris Papailiopoulos |