| 2023 | A2TP: Aggregator-aware In-network Aggregation for Multi-tenant Learning. Zhaoyi Li, Jiawei Huang, Yijun Li, Aikun Xu, Shengwen Zhou, Jingling Liu, Jianxin Wang |
| 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 | Accelerating Graph Mining Systems with Subgraph Morphing. Kasra Jamshidi, Harry Xu, Keval Vora |
| 2023 | Aggregate VM: Why Reduce or Evict VM's Resources When You Can Borrow Them From Other Nodes? Ho-Ren Chuang, Karim Manaouil, Tong Xing, Antonio Barbalace, Pierre Olivier, Balvansh Heerekar, Binoy Ravindran |
| 2023 | All-Flash Array Key-Value Cache for Large Objects. Jinhyung Koo, Jinwook Bae, Minjeong Yuk, Seonggyun Oh, Jungwoo Kim, Jung-Soo Park, Eunji Lee, Bryan S. Kim, Sungjin Lee |
| 2023 | CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections. Yiduo Wang, Yufei Wu, Cheng Li, Pengfei Zheng, Biao Cao, Yan Sun, Fei Zhou, Yinlong Xu, Yao Wang, Guangjun Xie |
| 2023 | Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems. Hayley LeBlanc, Shankara Pailoor, Om Saran K. R. E., Isil Dillig, James Bornholt, Vijay Chidambaram |
| 2023 | DRAMHiT: A Hash Table Architected for the Speed of DRAM. Vikram Narayanan, David Detweiler, Tianjiao Huang, Anton Burtsev |
| 2023 | DiLOS: Do Not Trade Compatibility for Performance in Memory Disaggregation. Wonsup Yoon, Jisu Ok, Jinyoung Oh, Sue Moon, Youngjin Kwon |
| 2023 | Diablo: A Benchmark Suite for Blockchains. Vincent Gramoli, Rachid Guerraoui, Andrei Lebedev, Chris Natoli, Gauthier Voron |
| 2023 | Diagnosing Kernel Concurrency Failures with AITIA. Dae R. Jeong, Minkyu Jung, Yoochan Lee, Byoungyoung Lee, Insik Shin, Youngjin Kwon |
| 2023 | Dissecting BFT Consensus: In Trusted Components we Trust! Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks, Mohammad Sadoghi |
| 2023 | DyTIS: A Dynamic Dataset Targeted Index Structure Simultaneously Efficient for Search, Insert, and Scan. Jin Yang, Heejin Yoon, Gyeongchan Yun, Sam H. Noh, Young-ri Choi |
| 2023 | Effective Performance Issue Diagnosis with Value-Assisted Cost Profiling. Lingmei Weng, Yigong Hu, Peng Huang, Jason Nieh, Junfeng Yang |
| 2023 | Efficient and Safe I/O Operations for Intermittent Systems. Eren Yildiz, Saad Ahmed, Bashima Islam, Josiah D. Hester, Kasim Sinan Yildirim |
| 2023 | Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury |
| 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 | Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access. JinWoo Jeong, Seungsu Baek, Jeongseob Ahn |
| 2023 | FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks. Hwijoon Lim, Jaehong Kim, Inho Cho, Keon Jang, Wei Bai, Dongsu Han |
| 2023 | FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines. Gyewon Lee, Jaewoo Maeng, Jinsol Park, Jangho Seo, Haeyoon Cho, Youngseok Yang, Taegeon Um, Jongsung Lee, Jae W. Lee, Byung-Gon Chun |
| 2023 | Foxhound: Server-Grade Observability for Network-Augmented Applications. Lucas Castanheira, Alberto Schaeffer-Filho, Theophilus A. Benson |
| 2023 | FrozenHot Cache: Rethinking Cache Management for Modern Hardware. Ziyue Qiu, Juncheng Yang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Qi Chen, Mao Yang, Yinlong Xu |
| 2023 | Groundhog: Efficient Request Isolation in FaaS. Mohamed Alzayat, Jonathan Mace, Peter Druschel, Deepak Garg |
| 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 | ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices. Changlong Li, Yu Liang, Rachata Ausavarungnirun, Zongwei Zhu, Liang Shi, Chun Jason Xue |
| 2023 | Integrating Non-Volatile Main Memory in a Deterministic Database. Yu Chen Wang, Angela Demke Brown, Ashvin Goel |
| 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 | Lyra: Elastic Scheduling for Deep Learning Clusters. Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang |
| 2023 | Making Dynamic Page Coalescing Effective on Virtualized Clouds. Weiwei Jia, Jiyuan Zhang, Jianchen Shan, Xiaoning Ding |
| 2023 | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks. Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman |
| 2023 | Model Checking Guided Testing for Distributed Systems. Dong Wang, Wensheng Dou, Yu Gao, Chenao Wu, Jun Wei, Tao Huang |
| 2023 | Morty: Scaling Concurrency Control with Re-Execution. Matthew Burke, Florian Suri-Payer, Jeffrey Helt, Lorenzo Alvisi, Natacha Crooks |
| 2023 | Mumak: Efficient and Black-Box Bug Detection for Persistent Memory. João Gonçalves, Miguel Matos, Rodrigo Rodrigues |
| 2023 | NearPM: A Near-Data Processing System for Storage-Class Applications. Yasas Seneviratne, Korakit Seemakhupt, Sihang Liu, Samira Manabi Khan |
| 2023 | Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs. Costin Lupu, Andrei Albisoru, Radu Nichita, Doru-Florin Blânzeanu, Mihai Pogonaru, Razvan Deaconescu, Costin Raiciu |
| 2023 | OFence: Pairing Barriers to Find Concurrency Bugs in the Linux Kernel. Baptiste Lepers, Josselin Giet, Willy Zwaenepoel, Julia Lawall |
| 2023 | OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers. Ruobing Chen, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang |
| 2023 | Omni-Paxos: Breaking the Barriers of Partial Connectivity. Harald Ng, Seif Haridi, Paris Carbone |
| 2023 | Palette Load Balancing: Locality Hints for Serverless Functions. Mania Abdi, Samuel Ginzburg, Xiayue Charles Lin, Jose M. Faleiro, Gohar Irfan Chaudhry, Iñigo Goiri, Ricardo Bianchini, Daniel S. Berger, Rodrigo Fonseca |
| 2023 | Pocket: ML Serving from the Edge. Misun Park, Ketan Bhardwaj, Ada Gavrilovska |
| 2023 | Proceedings of the Eighteenth European Conference on Computer Systems, EuroSys 2023, Rome, Italy, May 8-12, 2023 Giuseppe Antonio Di Luna, Leonardo Querzoni, Alexandra Fedorova, Dushyanth Narayanan |
| 2023 | R2C: AOCR-Resilient Diversity with Reactive and Reflective Camouflage. Felix Berlakovich, Stefan Brunthaler |
| 2023 | REFL: Resource-Efficient Federated Learning. Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy |
| 2023 | RIO: Order-Preserving and CPU-Efficient Remote Storage Access. Xiaojian Liao, Zhe Yang, Jiwu Shu |
| 2023 | Saba: Rethinking Datacenter Network Allocation from Application's Perspective. M. R. Siavash Katebzadeh, Paolo Costa, Boris Grot |
| 2023 | Safe and Practical GPU Computation in TrustZone. Heejin Park, Felix Xiaozhu Lin |
| 2023 | SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou |
| 2023 | TEA: A General-Purpose Temporal Graph Random Walk Engine. Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu |
| 2023 | Tabi: An Efficient Multi-Level Inference System for Large Language Models. Yiding Wang, Kai Chen, Haisheng Tan, Kun Guo |
| 2023 | Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu |
| 2023 | Unikernel Linux (UKL). Ali Raza, Thomas Unger, Matthew Boyd, Eric B. Munson, Parul Sohal, Ulrich Drepper, Richard Jones, Daniel Bristot de Oliveira, Larry Woodman, Renato Mancuso, Jonathan Appavoo, Orran Krieger |
| 2023 | Viper: A Fast Snapshot Isolation Checker. Jian Zhang, Ye Ji, Shuai Mu, Cheng Tan |
| 2023 | WAFFLE: Exposing Memory Ordering Bugs Efficiently with Active Delay Injection. Bogdan Alexandru Stoica, Shan Lu, Madanlal Musuvathi, Suman Nath |
| 2023 | With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues |
| 2023 | vTMM: Tiered Memory Management for Virtual Machines. Sai Sha, Chuandong Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang |