| 2023 | A Cloud-Scale Characterization of Remote Procedure Calls. Korakit Seemakhupt, Brent E. Stephens, Samira Manabi Khan, Sihang Liu, Hassan M. G. Wassel, Soheil Hassas Yeganeh, Alex C. Snoeren, Arvind Krishnamurthy, David E. Culler, Henry M. Levy |
| 2023 | Achieving Microsecond-Scale Tail Latency Efficiently with Approximate Optimal Scheduling. Rishabh R. Iyer, Musa Unal, Marios Kogias, George Candea |
| 2023 | Acto: Automatic End-to-End Testing for Operation Correctness of Cloud System Management. Jiawei Tyler Gu, Xudong Sun, Wentao Zhang, Yuxuan Jiang, Chen Wang, Mandana Vaziri, Owolabi Legunsen, Tianyin Xu |
| 2023 | Antipode: Enforcing Cross-Service Causal Consistency in Distributed Applications. João Ferreira Loff, Daniel Porto, João Garcia, Jonathan Mace, Rodrigo Rodrigues |
| 2023 | Arboretum: A Planner for Large-Scale Federated Analytics with Differential Privacy. Elizabeth Margolin, Karan Newatia, Tao Luo, Edo Roth, Andreas Haeberlen |
| 2023 | Automated Verification of an In-Production DNS Authoritative Engine. Naiqian Zheng, Mengqi Liu, Yuxing Xiang, Linjian Song, Dong Li, Feng Han, Nan Wang, Yong Ma, Zhuo Liang, Dennis Cai, Ennan Zhai, Xuanzhe Liu, Xin Jin |
| 2023 | Bagpipe: Accelerating Deep Recommendation Model Training. Saurabh Agarwal, Chengpo Yan, Ziyi Zhang, Shivaram Venkataraman |
| 2023 | Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications. Vaastav Anand, Deepak Garg, Antoine Kaufmann, Jonathan Mace |
| 2023 | Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking. Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Alexander Levis, Matei Zaharia, Irene Zhang |
| 2023 | Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, Michael R. Lyu |
| 2023 | Edna: Disguising and Revealing User Data in Web Applications. Lillian Tsai, Hannah Gross, Eddie Kohler, M. Frans Kaashoek, Malte Schwarzkopf |
| 2023 | Efficient Memory Management for Large Language Model Serving with PagedAttention. Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica |
| 2023 | Enabling High-Performance and Secure Userspace NVM File Systems with the Trio Architecture. Diyu Zhou, Vojtech Aschenbrenner, Tao Lyu, Jian Zhang, Sudarsun Kannan, Sanidhya Kashyap |
| 2023 | FIFO queues are all you need for cache eviction. Juncheng Yang, Yazhuo Zhang, Ziyue Qiu, Yao Yue, Rashmi Vinayak |
| 2023 | Falcon: Fast OLTP Engine for Persistent Cache and Non-Volatile Memory. Zhicheng Ji, Kang Chen, Leping Wang, Mingxing Zhang, Yongwei Wu |
| 2023 | Flexible Advancement in Asynchronous BFT Consensus. Shengyun Liu, Wenbo Xu, Chen Shan, Xiaofeng Yan, Tianjing Xu, Bo Wang, Lei Fan, Fuxi Deng, Ying Yan, Hui Zhang |
| 2023 | GEMINI: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints. Zhuang Wang, Zhen Jia, Shuai Zheng, Zhen Zhang, Xinwei Fu, T. S. Eugene Ng, Yida Wang |
| 2023 | Grove: a Separation-Logic Library for Verifying Distributed Systems. Upamanyu Sharma, Ralf Jung, Joseph Tassarotti, M. Frans Kaashoek, Nickolai Zeldovich |
| 2023 | Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing. Sheng Qi, Xuanzhe Liu, Xin Jin |
| 2023 | MEMTIS: Efficient Memory Tiering with Dynamic Page Classification and Page Size Determination. Taehyung Lee, Sumit Kumar Monga, Changwoo Min, Young Ik Eom |
| 2023 | Mira: A Program-Behavior-Guided Far Memory System. Zhiyuan Guo, Zijian He, Yiying Zhang |
| 2023 | One Simple API Can Cause Hundreds of Bugs An Analysis of Refcounting Bugs in All Modern Linux Kernels. Liang He, Purui Su, Chao Zhang, Yan Cai, Jinxin Ma |
| 2023 | Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury |
| 2023 | PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou |
| 2023 | PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment. Hang Huang, Jiangshan Lai, Jia Rao, Hui Lu, Wenlong Hou, Hang Su, Quan Xu, Jiang Zhong, Jiahao Zeng, Xu Wang, Zhengyu He, Weidong Han, Jiang Liu, Tao Ma, Song Wu |
| 2023 | Paella: Low-latency Model Serving with Software-defined GPU Scheduling. Kelvin K. W. Ng, Henri Maxime Demoulin, Vincent Liu |
| 2023 | Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory. Mingxing Zhang, Teng Ma, Jinqi Hua, Zheng Liu, Kang Chen, Ning Ding, Fan Du, Jinlei Jiang, Tao Ma, Yongwei Wu |
| 2023 | Private Web Search with Tiptoe. Alexandra Henzinger, Emma Dauterman, Henry Corrigan-Gibbs, Nickolai Zeldovich |
| 2023 | Proceedings of the 29th Symposium on Operating Systems Principles, SOSP 2023, Koblenz, Germany, October 23-26, 2023 Jason Flinn, Margo I. Seltzer, Peter Druschel, Antoine Kaufmann, Jonathan Mace |
| 2023 | Project Silica: Towards Sustainable Cloud Archival Storage in Glass. Patrick Anderson, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales De Carvalho, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan A. Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck |
| 2023 | Pushing Performance Isolation Boundaries into Application with pBox. Yigong Hu, Gongqi Huang, Peng Huang |
| 2023 | QuePaxa: Escaping the tyranny of timeouts in consensus. Pasindu Tennage, Cristina Basescu, Lefteris Kokoris-Kogias, Ewa Syta, Philipp Jovanovic, Vero Estrada-Galiñanes, Bryan Ford |
| 2023 | RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-Mei Hwu, Deming Chen, Sameh W. Asaad, Jian Huang |
| 2023 | SPFresh: Incremental In-Place Update for Billion-Scale Vector Search. Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang |
| 2023 | Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling. Suhas Jayaram Subramanya, Daiyaan Arfeen, Shouxu Lin, Aurick Qiao, Zhihao Jia, Gregory R. Ganger |
| 2023 | Siloz: Leveraging DRAM Isolation Domains to Prevent Inter-VM Rowhammer. Kevin Loughlin, Jonah Rosenblum, Stefan Saroiu, Alec Wolman, Dimitrios Skarlatos, Baris Kasikci |
| 2023 | Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor. Sishuai Gong, Dinglan Peng, Deniz Altinbüken, Pedro Fonseca, Petros Maniatis |
| 2023 | TreeSLS: A Whole-system Persistent Microkernel with Tree-structured State Checkpoint on NVM. Fangnuo Wu, Mingkai Dong, Gequan Mo, Haibo Chen |
| 2023 | Turbo: Effective Caching in Differentially-Private Databases. Kelly Kostopoulou, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer |
| 2023 | UGACHE: A Unified GPU Cache for Embedding-based Deep Learning. Xiaoniu Song, Yiwen Zhang, Rong Chen, Haibo Chen |
| 2023 | Understanding Silent Data Corruptions in a Large Production CPU Population. Shaobu Wang, Guangyan Zhang, Junyu Wei, Yang Wang, Jiesheng Wu, Qingchao Luo |
| 2023 | Validating JIT Compilers via Compilation Space Exploration. Cong Li, Yanyan Jiang, Chang Xu, Zhendong Su |
| 2023 | XFaaS: Hyperscale and Low Cost Serverless Functions at Meta. Alireza Sahraei, Soteris Demetriou, Amirali Sobhgol, Haoran Zhang, Abhigna Nagaraja, Neeraj Pathak, Girish Joshi, Carla Souza, Bo Huang, Wyatt Cook, Andrii Golovei, Pradeep Venkat, Andrew Mcfague, Dimitrios Skarlatos, Vipul Patel, Ravinder Thind, Ernesto Gonzalez, Yun Jin, Chunqiang Tang |
| 2023 | gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li |