| 2025 | A Hardware-Software Co-Design for Efficient Secure Containers. Jiacheng Shi, Yang Yu, Jinyu Gu, Yubin Xia |
| 2025 | A House United Within Itself: SLO-Awareness for On-Premises Containerized ML Inference Clusters via Faro. Beomyeol Jeon, Chen Wang, Diana Arroyo, Alaa Youssef, Indranil Gupta |
| 2025 | Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. Han Tian, Xudong Liao, Decang Sun, Chaoliang Zeng, Yilun Jin, Junxue Zhang, Xinchen Wan, Zilong Wang, Yong Wang, Kai Chen |
| 2025 | Achilles: Efficient TEE-Assisted BFT Consensus via Rollback Resilient Recovery. Jianyu Niu, Xiaoqing Wen, Guanlong Wu, Shengqi Liu, Jiangshan Yu, Yinqian Zhang |
| 2025 | Adios to Busy-Waiting for Microsecond-scale Memory Disaggregation. Wonsup Yoon, Jisu Ok, Sue Moon, Youngjin Kwon |
| 2025 | AlloyStack: A Library Operating System for Serverless Workflow Applications. Jianing You, Kang Chen, Laiping Zhao, Yiming Li, Yichi Chen, Yuxuan Du, Yanjie Wang, Luhang Wen, Keyang Hu, Keqiu Li |
| 2025 | Atlas: Towards Real-Time Verification in Large-Scale Networks via a Native Distributed Architecture. Mingxiao Ma, Yuehan Zhang, Jingyu Wang, Bo He, Chenyang Zhao, Qi Qi, Zirui Zhuang, Haifeng Sun, Lingqi Guo, Yuebin Guo, Gong Zhang, Jianxin Liao |
| 2025 | BESA: Extending Bugs Triggered by Runtime Testing via Static Analysis. Jia-Ju Bai |
| 2025 | Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs. Pinhuan Wang, Chengying Huan, Zhibin Wang, Chen Tian, Yuede Ji, Hang Liu |
| 2025 | Byte vSwitch: A High-Performance Virtual Switch for Cloud Networking. Xin Wang, Deguo Li, Zhihong Wang, Lidong Jiang, Shubo Wen, Daxiang Kang, Engin Arslan, Peng He, Xinyu Qian, Bin Niu, Jianwen Pi, Xiaoning Ding, Ke Lin, Hao Luo |
| 2025 | CAPSys: Contention-aware task placement for data stream processing. Yuanli Wang, Lei Huang, Zikun Wang, Vasiliki Kalavri, Ibrahim Matta |
| 2025 | CRAVE: Analyzing Cross-Resource Interaction to Improve Energy Efficiency in Systems-on-Chip. Dipayan Mukherjee, Sam Hachem, Jeremy Bao, Curtis Madsen, Tian Ma, Saugata Ghose, Gul Agha |
| 2025 | CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion. Jiayi Yao, Hanchen Li, Yuhan Liu, Siddhant Ray, Yihua Cheng, Qizheng Zhang, Kuntai Du, Shan Lu, Junchen Jiang |
| 2025 | Cheetah: Metadata Aggregation for Fast Object Storage without Distributed Ordering. Yiming Zhang, Li Wang, Shengyun Liu, Shun Gai, Haonan Wang, Xin Yao, Meiling Wang, Kai Chen, Dongsheng Li, Jiwu Shu |
| 2025 | Chrono: Meticulous Hotness Measurement and Flexible Page Migration for Memory Tiering. Zhenlin Qi, Shengan Zheng, Ying Huang, Yifeng Hui, Bowen Zhang, Linpeng Huang, Hong Mei |
| 2025 | Collaborative Text Editing with Eg-walker: Better, Faster, Smaller. Joseph Gentle, Martin Kleppmann |
| 2025 | Comprehensive Deadlock Prevention for GPU Collective Communication. Lichen Pan, Juncheng Liu, Yongquan Fu, Jinhui Yuan, Rongkai Zhang, Pengze Li, Zhen Xiao |
| 2025 | DPack: Efficiency-Oriented Privacy Budget Scheduling. Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang |
| 2025 | Daredevil: Rescue Your Flash Storage from Inflexible Kernel Storage Stack. Junzhe Li, Ran Shu, Jiayi Lin, Qingyu Zhang, Ziyue Yang, Jie Zhang, Yongqiang Xiong, Chenxiong Qian |
| 2025 | Deft: A Scalable Tree Index for Disaggregated Memory. Jing Wang, Qing Wang, Yuhao Zhang, Jiwu Shu |
| 2025 | DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs. Xiaozhe Yao, Qinghao Hu, Ana Klimovic |
| 2025 | Efeu: generating efficient, verified, hybrid hardware/software drivers for I2C devices. Daniel Schwyn, Zikai Liu, Timothy Roscoe |
| 2025 | Empower Vision Applications with LoRA LMM. Liang Mi, Weijun Wang, Wenming Tu, Qingfeng He, Rui Kong, Xinyu Fang, Yazhu Dong, Yikang Zhang, Yuanchun Li, Meng Li, Haipeng Dai, Guihai Chen, Yunxin Liu |
| 2025 | Empowering WebAssembly with Thin Kernel Interfaces. Arjun Ramesh, Tianshu Huang, Ben L. Titzer, Anthony Rowe |
| 2025 | Enabling Virtual Priority in Data Center Congestion Control. Zhaochen Zhang, Feiyang Xue, Keqiang He, Zhimeng Yin, Gianni Antichi, Jiaqi Gao, Yizhi Wang, Rui Ning, Haixin Nan, Xu Zhang, Peirui Cao, Xiaoliang Wang, Wanchun Dou, Guihai Chen, Chen Tian |
| 2025 | Erebor: A Drop-In Sandbox Solution for Private Data Processing in Untrusted Confidential Virtual Machines. Chuqi Zhang, Rahul Priolkar, Yuancheng Jiang, Yuan Xiao, Mona Vij, Zhenkai Liang, Adil Ahmad |
| 2025 | Eva: Cost-Efficient Cloud-Based Cluster Scheduling. Tzu-Tao Chang, Shivaram Venkataraman |
| 2025 | Fast State Restoration in LLM Serving with HCache. Shiwei Gao, Youmin Chen, Jiwu Shu |
| 2025 | FastIOV: Fast Startup of Passthrough Network I/O Virtualization for Secure Containers. Yunzhuo Liu, Junchen Guo, Bo Jiang, Yang Song, Pengyu Zhang, Rong Wen, Biao Lyu, Shunmin Zhu, Xinbing Wang |
| 2025 | Flex: Fast, Accurate DNN Inference on Low-Cost Edges Using Heterogeneous Accelerator Execution. Tanmoy Sen, Haiying Shen, Anand Padmanabha Iyer |
| 2025 | FlowCheck: Decoupling Checkpointing and Training of Large-Scale Models. Zimeng Huang, Hao Nie, Haonan Jia, Bo Jiang, Junchen Guo, Jianyuan Lu, Rong Wen, Biao Lyu, Shunmin Zhu, Xinbing Wang |
| 2025 | Fork: A Dual Congestion Control Loop for Small and Large Flows in Datacenters. Yuan Liu, Wenxin Li, Yulong Li, Lide Suo, Xuan Gao, Xin Xie, Sheng Chen, Ziqi Fan, Wenyu Qu, Guyue Liu |
| 2025 | Garbage Collection Does Not Only Collect Garbage: Piggybacking-Style Defragmentation for Deduplicated Backup Storage. Dingbang Liu, Xiangyu Zou, Tao Lu, Philip Shilane, Wen Xia, Wenxuan Huang, Yanqi Pan, Hao Huang |
| 2025 | Groot: Graph-Centric Row Reordering with Tree for Sparse Matrix Multiplications on Tensor Cores. Yuang Chen, Jiadong Xie, Siyi Teng, Wenqi Zeng, Jeffrey Xu Yu |
| 2025 | HawkSet: Automatic, Application-Agnostic, and Efficient Concurrent PM Bug Detection. João Oliveira, João Gonçalves, Miguel Matos |
| 2025 | Heimdall: Optimizing Storage I/O Admission with Extensive Machine Learning Pipeline. Daniar Heri Kurniawan, Rani Ayu Putri, Peiran Qin, Kahfi S. Zulkifli, Ray A. O. Sinurat, Janki Bhimani, Sandeep Madireddy, Achmad Imam Kistijantoro, Haryadi S. Gunawi |
| 2025 | Hey Hey, My My, Skewness Is Here to Stay: Challenges and Opportunities in Cloud Block Store Traffic. Haonan Wu, Erci Xu, Ligang Wang, Yuandong Hong, Changsheng Niu, Bo Shi, Lingjun Zhu, Jinnian He, Dong Wu, Weidong Zhang, Qiuping Wang, Changhong Wang, Xinqi Chen, Guangtao Xue, Yi-Chao Chen, Dian Ding |
| 2025 | Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism. Qiang He, Kaibin Wang, Zeqian Dong, Liang Yuan, Feifei Chen, Hai Jin, Yun Yang |
| 2025 | HybridFlow: A Flexible and Efficient RLHF Framework. Guangming Sheng, Chi Zhang, Zilingfeng Ye, Xibin Wu, Wang Zhang, Ru Zhang, Yanghua Peng, Haibin Lin, Chuan Wu |
| 2025 | HyperAlloc: Efficient VM Memory De/Inflation via Hypervisor-Shared Page-Frame Allocators. Lars Wrenger, Kenny Albes, Marco Wurps, Christian Dietrich, Daniel Lohmann |
| 2025 | Impeller: Stream Processing on Shared Logs. Zhiting Zhu, Zhipeng Jia, Newton Ni, Dixin Tang, Emmett Witchel |
| 2025 | Improving GPU Sharing Performance through Adaptive Bubbleless Spatial-Temporal Sharing. Shulai Zhang, Quan Chen, Weihao Cui, Han Zhao, Chunyu Xue, Zhen Zheng, Wei Lin, Minyi Guo |
| 2025 | Introspective Congestion Control for Consistent High Performance. Wanchun Jiang, Haoyang Li, Jia Wu, Kai Wang, Fengyuan Ren, Jianxin Wang |
| 2025 | JABAS: Joint Adaptive Batching and Automatic Scaling for DNN Training on Heterogeneous GPUs. Gyeongchan Yun, Junesoo Kang, Hyunjoon Jeong, Sanghyeon Eom, Minsung Jang, Young-ri Choi |
| 2025 | Jupiter: Pushing Speed and Scalability Limitations for Subgraph Matching on Multi-GPUs. Zhiheng Lin, Ke Meng, Changjie Xu, Weichen Cao, Guangming Tan |
| 2025 | LOFT: A Lock-free and Adaptive Learned Index with High Scalability for Dynamic Workloads. Yuxuan Mo, Yu Hua |
| 2025 | Ladon: High-Performance Multi-BFT Consensus via Dynamic Global Ordering. Hanzheng Lyu, Shaokang Xie, Jianyu Niu, Chen Feng, Yinqian Zhang, Ivan Beschastnikh |
| 2025 | MEPipe: Democratizing LLM Training with Memory-Efficient Slice-Level Pipeline Scheduling on Cost-Effective Accelerators. Zhenbo Sun, Shengqi Chen, Yuanwei Wang, Jian Sha, Guanyu Feng, Wenguang Chen |
| 2025 | Marlin: Enabling High-Throughput Congestion Control Testing in Large-Scale Networks. Yanqing Chen, Li Wang, Jingzhi Wang, Songyue Liu, Keqiang He, Jian Wang, Xiaoliang Wang, Wanchun Dou, Guihai Chen, Chen Tian |
| 2025 | MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction. Haiheng He, Haifeng Liu, Long Zheng, Yu Huang, Xinyang Shen, Wenkan Huang, Shuaihu Cao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2025 | Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. Zhanda Zhu, Christina Giannoula, Muralidhar Andoorveedu, Qidong Su, Karttikeya Mangalam, Bojian Zheng, Gennady Pekhimenko |
| 2025 | Moko: Marrying Python with Big Data Systems. Ke Meng, Tao He, Sijie Shen, Lei Wang, Wenyuan Yu, Jingren Zhou |
| 2025 | Multi-Grained Specifications for Distributed System Model Checking and Verification. Lingzhi Ouyang, Xudong Sun, Ruize Tang, Yu Huang, Madhav Jivrajani, Xiaoxing Ma, Tianyin Xu |
| 2025 | Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters. Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu |
| 2025 | NeuStream: Bridging Deep Learning Serving and Stream Processing. Haochen Yuan, Yuanqing Wang, Wenhao Xie, Yu Cheng, Ziming Miao, Lingxiao Ma, Jilong Xue, Zhi Yang |
| 2025 | OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. Hao Qi, Kang Luo, Ligang He, Yu Zhang, Minzhi Cai, Jingxin Dai, Bingsheng He, Hai Jin, Zhan Zhang, Jin Zhao, Hengshan Yue, Hui Yu, Xiaofei Liao |
| 2025 | Occamy: A Preemptive Buffer Management for On-chip Shared-memory Switches. Danfeng Shan, Yunguang Li, Jinchao Ma, Zhenxing Zhang, Zeyu Liang, Xinyu Wen, Hao Li, Wanchun Jiang, Nan Li, Fengyuan Ren |
| 2025 | Optimizing Task Scheduling in Cloud VMs with Accurate vCPU Abstraction. Edward Guo, Weiwei Jia, Xiaoning Ding, Jianchen Shan |
| 2025 | Overcoming the Last Mile between Log-Structured File Systems and Persistent Memory via Scatter Logging. Yifeng Zhang, Yanqi Pan, Hao Huang, Yuchen Shan, Wen Xia |
| 2025 | PET: Proactive Demotion for Efficient Tiered Memory Management. Wanju Doh, Yaebin Moon, Seoyoung Ko, Seunghwan Chung, Kwanhee Kyung, Eojin Lee, Jung Ho Ahn |
| 2025 | ParallelEVM: Operation-Level Concurrent Transaction Execution for EVM-Compatible Blockchains. Haoran Lin, Hang Feng, Yajin Zhou, Lei Wu |
| 2025 | Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication. Dinglan Peng, Congyu Liu, Tapti Palit, Anjo Vahldiek-Oberwagner, Mona Vij, Pedro Fonseca |
| 2025 | Phantom: Virtualizing Switch Register Resources for Accurate Sketch-based Network Measurement. Xiang Chen, Hongyan Liu, Zhengyan Zhou, Xi Sun, Wenbin Zhang, Hongyang Du, Dong Zhang, Xuan Liu, Haifeng Zhou, Dusit Niyato, Qun Huang, Chunming Wu, Kui Ren |
| 2025 | Pre-Stores: Proactive Software-guided Movement of Data Down the Memory Hierarchy. Xiaoxiang Wu, Baptiste Lepers, Willy Zwaenepoel |
| 2025 | Proceedings of the Twentieth European Conference on Computer Systems, EuroSys 2025, Rotterdam, The Netherlands, 30 March 2025 - 3 April 2025 |
| 2025 | Rakis: Secure Fast I/O Primitives Across Trust Boundaries on Intel SGX. Mansour Alharthi, Fan Sang, Dmitrii Kuvaiskii, Mona Vij, Taesoo Kim |
| 2025 | Revealing the Unstable Foundations of eBPF-Based Kernel Extensions. Shawn Wanxiang Zhong, Jing Liu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2025 | RoboRebound: Multi-Robot System Defense with Bounded-Time Interaction. Neeraj Gandhi, Yifan Cai, Andreas Haeberlen, Linh Thi Xuan Phan |
| 2025 | Samoyeds: Accelerating MoE Models with Structured Sparsity Leveraging Sparse Tensor Cores. Chenpeng Wu, Qiqi Gu, Heng Shi, Jianguo Yao, Haibing Guan |
| 2025 | SeBS-Flow: Benchmarking Serverless Cloud Function Workflows. Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Laurin Brandner, Anne Koziolek, Torsten Hoefler |
| 2025 | Seal: Towards Diverse Specification Inference for Linux Interfaces from Security Patches. Wei Chen, Bowen Zhang, Chengpeng Wang, Wensheng Tang, Charles Zhang |
| 2025 | Serverless Cold Starts and Where to Find Them. Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Qiwen Deng, Adam Barker |
| 2025 | SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica |
| 2025 | Solid State Drive Targeted Memory-Efficient Indexing for Universal I/O Patterns and Fragmentation Degrees. Junsu Im, Jeonggyun Kim, Seonggyun Oh, Jinhyung Koo, Juhyung Park, Hoon Sung Chwa, Sam H. Noh, Sungjin Lee |
| 2025 | SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs. Ruibo Fan, Xiangrui Yu, Peijie Dong, Zeyu Li, Gu Gong, Qiang Wang, Wei Wang, Xiaowen Chu |
| 2025 | SpaceFusion: Advanced Deep Learning Operator Fusion via Space-Mapping Graph. Liang Zhu, Jianguo Yao, Haibing Guan |
| 2025 | Stateful Large Language Model Serving with Pensieve. Lingfan Yu, Jinkun Lin, Jinyang Li |
| 2025 | SuperFE: A Scalable and Flexible Feature Extractor for ML-based Traffic Analysis Applications. Menghao Zhang, Guanyu Li, Cheng Guo, Renyu Yang, Shicheng Wang, Han Bao, Xiao Li, Mingwei Xu, Tianyu Wo, Chunming Hu |
| 2025 | T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang |
| 2025 | TUNA: Tuning Unstable and Noisy Cloud Applications. Johannes Freischuetz, Konstantinos Kanellis, Brian Kroth, Shivaram Venkataraman |
| 2025 | Themis: Finding Imbalance Failures in Distributed File Systems via a Load Variance Model. Yuanliang Chen, Fuchen Ma, Yuanhang Zhou, Zhen Yan, Qing Liao, Yu Jiang |
| 2025 | Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs. Michael Allison, Arun George, Javier González, Dan Helmick, Vikash Kumar, Roshan R. Nair, Vivek Shah |
| 2025 | Towards VM Rescheduling Optimization Through Deep Reinforcement Learning. Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang, Jianjun Chen, Lei Zhang, Alberto Cerpa, Wan Du |
| 2025 | Understanding and Detecting SQL Function Bugs: Using Simple Boundary Arguments to Trigger Hundreds of DBMS Bugs. Jingzhou Fu, Jie Liang, Zhiyong Wu, Yanyang Zhao, Shanshan Li, Yu Jiang |
| 2025 | Understanding the Linux Kernel, Visually. Hanzhi Liu, Yanyan Jiang, Chang Xu |
| 2025 | eNetSTL: Towards an In-kernel Library for High-Performance eBPF-based Network Functions. Bin Yang, Dian Shen, Junxue Zhang, Hanlin Yang, Lunqi Zhao, Beilun Wang, Guyue Liu, Kai Chen |