| 2023 | A Study of Semantics for CRDT-based Collaborative Spreadsheets. | Elena Yanakieva, Philipp Bird, Annette Bieniusa |
| 2023 | ALT: Breaking the Wall between Data Layout and Loop Optimizations for Deep Learning Compilation. | Zhiying Xu, Jiafan Xu, Hongding Peng, Wei Wang, Xiaoliang Wang, Haoran Wan, Haipeng Dai, Yixu Xu, Hao Cheng, Kun Wang, Guihai Chen |
| 2023 | Intelligent Data Migration Policies in a Write-Optimized Copy-on-Write Tiered Storage Stack. | Johannes Wnsche, Sajad Karim, Michael Kuhn, David Broneske, Gunter Saake |
| 2023 | Actionable Data Insights for Machine Learning. | Ming-Chuan Wu, Manuel Bhr, Nils Braun, Katrin Honauer |
| 2023 | Effective Performance Issue Diagnosis with Value-Assisted Cost Profiling. | Lingmei Weng, Yigong Hu, Peng Huang, Jason Nieh, Junfeng Yang |
| 2023 | LogGrep: Fast and Cheap Cloud Log Storage by Exploiting both Static and Runtime Patterns. | Junyu Wei, Guangyan Zhang, Junchao Chen, Yang Wang, Weimin Zheng, Tingtao Sun, Jiesheng Wu, Jiangwei Jiang |
| 2023 | For-Each Operations in Collaborative Apps. | Matthew Weidner, Ria Pradeep, Benito Geordie, Heather Miller |
| 2023 | Lotus: Serverless In-Transit Data Processing for Edge-based Pub/Sub. | Minghe Wang, Trever Schirmer, Tobias Pfandzelter, David Bermbach |
| 2023 | Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. | Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury |
| 2023 | Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies. | Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng |
| 2023 | Model Checking Guided Testing for Distributed Systems. | Dong Wang, Wensheng Dou, Yu Gao, Chenao Wu, Jun Wei, Tao Huang |
| 2023 | Tabi: An Efficient Multi-Level Inference System for Large Language Models. | Yiding Wang, Kai Chen, Haisheng Tan, Kun Guo |
| 2023 | Integrating Non-Volatile Main Memory in a Deterministic Database. | Yu Chen Wang, Angela Demke Brown, Ashvin Goel |
| 2023 | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks. | Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman |
| 2023 | Towards Robust and Bias-free Federated Learning. | Ousmane Touat, Sara Bouchenak |
| 2023 | Fail through the Cracks: Cross-System Interaction Failures in Modern Cloud Systems. | Lilia Tang, Chaitanya Bhandari, Yongle Zhang, Anna Karanika, Shuyang Ji, Indranil Gupta, Tianyin Xu |
| 2023 | WAFFLE: Exposing Memory Ordering Bugs Efficiently with Active Delay Injection. | Bogdan Alexandru Stoica, Shan Lu, Madanlal Musuvathi, Suman Nath |
| 2023 | Performance Trade-offs in Transactional Systems. | Joo Rafael Pinto Soares, Lus E. T. Rodrigues |
| 2023 | Accelerating Model Training: Performance Antipatterns Eliminator Framework. | Ravi Kumar Singh, Mayank Mishra, Rekha Singhal |
| 2023 | Scalable High-Performance Architecture for Evolving Recommender System. | Ravi Kumar Singh, Mayank Mishra, Rekha Singhal |
| 2023 | Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. | Hongrui Shi, Valentin Radu, Po Yang |
| 2023 | vTMM: Tiered Memory Management for Virtual Machines. | Sai Sha, Chuandong Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang |
| 2023 | NearPM: A Near-Data Processing System for Storage-Class Applications. | Yasas Seneviratne, Korakit Seemakhupt, Sihang Liu, Samira Manabi Khan |
| 2023 | Best of both, Structured and Unstructured Sparsity in Neural Networks. | Christoph Schulte, Sven Wagner, Armin Runge, Dimitrios Bariamis, Barbara Hammer |
| 2023 | Data Management for mobile applications dependent on geo-located data. | Nuno M. Santos, Lus M. Silva, Joo Leito, Nuno M. Preguia |