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EuroSys 2023: Rome, Italy
- Giuseppe Antonio Di Luna, Leonardo Querzoni, Alexandra Fedorova, Dushyanth Narayanan:
Proceedings of the Eighteenth European Conference on Computer Systems, EuroSys 2023, Rome, Italy, May 8-12, 2023. ACM 2023, ISBN 978-1-4503-9487-1 - Lingmei Weng, Yigong Hu, Peng Huang, Jason Nieh, Junfeng Yang:
Effective Performance Issue Diagnosis with Value-Assisted Cost Profiling. 1-17 - Lucas Castanheira, Alberto Schaeffer-Filho, Theophilus A. Benson:
Foxhound: Server-Grade Observability for Network-Augmented Applications. 18-32 - Baptiste Lepers, Josselin Giet, Willy Zwaenepoel, Julia Lawall:
OFence: Pairing Barriers to Find Concurrency Bugs in the Linux Kernel. 33-45 - Misun Park, Ketan Bhardwaj, Ada Gavrilovska:
Pocket: ML Serving from the Edge. 46-62 - Eren Yildiz, Saad Ahmed, Bashima Islam, Josiah D. Hester, Kasim Sinan Yildirim:
Efficient and Safe I/O Operations for Intermittent Systems. 63-78 - Changlong Li, Yu Liang, Rachata Ausavarungnirun, Zongwei Zhu, Liang Shi, Chun Jason Xue:
ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices. 79-93 - Dae R. Jeong, Minkyu Jung, Yoochan Lee, Byoungyoung Lee, Insik Shin, Youngjin Kwon:
Diagnosing Kernel Concurrency Failures with AITIA. 94-110 - Bogdan Alexandru Stoica, Shan Lu, Madanlal Musuvathi, Suman Nath:
WAFFLE: Exposing Memory Ordering Bugs Efficiently with Active Delay Injection. 111-126 - Dong Wang, Wensheng Dou, Yu Gao, Chenao Wu, Jun Wei, Tao Huang:
Model Checking Guided Testing for Distributed Systems. 127-143 - Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman:
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks. 144-161 - Kasra Jamshidi, Harry Xu, Keval Vora:
Accelerating Graph Mining Systems with Subgraph Morphing. 162-181 - Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu:
TEA: A General-Purpose Temporal Graph Random Walk Engine. 182-198 - Zhiying Xu, Jiafan Xu, Hongding Peng, Wei Wang, Xiaoliang Wang, Haoran Wan, Haipeng Dai, Yixu Xu, Hao Cheng, Kun Wang, Guihai Chen:
ALT: Breaking the Wall between Data Layout and Loop Optimizations for Deep Learning Compilation. 199-214 - Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy:
REFL: Resource-Efficient Federated Learning. 215-232 - Yiding Wang, Kai Chen, Haisheng Tan, Kun Guo:
Tabi: An Efficient Multi-Level Inference System for Large Language Models. 233-248 - Jinwoo Jeong, Seungsu Baek, Jeongseob Ahn:
Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access. 249-265 - Wonsup Yoon, Jisu Ok, Jinyoung Oh, Sue Moon, Youngjin Kwon:
DiLOS: Do Not Trade Compatibility for Performance in Memory Disaggregation. 266-282 - Sai Sha, Chuandong Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang:
vTMM: Tiered Memory Management for Virtual Machines. 283-297 - Weiwei Jia, Jiyuan Zhang, Jianchen Shan, Xiaoning Ding:
Making Dynamic Page Coalescing Effective on Virtualized Clouds. 298-313 - Harald Ng, Seif Haridi, Paris Carbone:
Omni-Paxos: Breaking the Barriers of Partial Connectivity. 314-330 - Yiduo Wang, Yufei Wu, Cheng Li, Pengfei Zheng, Biao Cao, Yan Sun, Fei Zhou, Yinlong Xu, Yao Wang, Guangjun Xie:
CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections. 331-346 - Ruobing Chen, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang:
OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers. 347-364 - Mania Abdi, Samuel Ginzburg, Xiayue Charles Lin, Jose M. Faleiro, Gohar Irfan Chaudhry, Iñigo Goiri, Ricardo Bianchini, Daniel S. Berger, Rodrigo Fonseca:
Palette Load Balancing: Locality Hints for Serverless Functions. 365-380 - Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues:
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. 381-397 - Mohamed Alzayat, Jonathan Mace, Peter Druschel, Deepak Garg:
Groundhog: Efficient Request Isolation in FaaS. 398-415 - Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu:
Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. 416-432 - Lilia Tang, Chaitanya Bhandari, Yongle Zhang, Anna Karanika, Shuyang Ji, Indranil Gupta, Tianyin Xu:
Fail through the Cracks: Cross-System Interaction Failures in Modern Cloud Systems. 433-451 - Junyu Wei, Guangyan Zhang, Junchao Chen, Yang Wang, Weimin Zheng, Tingtao Sun, Jiesheng Wu, Jiangwei Jiang:
LogGrep: Fast and Cheap Cloud Log Storage by Exploiting both Static and Runtime Patterns. 452-468 - Ho-Ren Chuang, Karim Manaouil, Tong Xing, Antonio Barbalace, Pierre Olivier, Balvansh Heerekar, Binoy Ravindran:
Aggregate VM: Why Reduce or Evict VM's Resources When You Can Borrow Them From Other Nodes? 469-487 - Felix Berlakovich, Stefan Brunthaler:
R2C: AOCR-Resilient Diversity with Reactive and Reflective Camouflage. 488-504 - Heejin Park, Felix Xiaozhu Lin:
Safe and Practical GPU Computation in TrustZone. 505-520 - Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks, Mohammad Sadoghi:
Dissecting BFT Consensus: In Trusted Components we Trust! 521-539 - Vincent Gramoli, Rachid Guerraoui, Andrei Lebedev, Chris Natoli, Gauthier Voron:
Diablo: A Benchmark Suite for Blockchains. 540-556 - Ziyue Qiu, Juncheng Yang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Qi Chen, Mao Yang, Yinlong Xu:
FrozenHot Cache: Rethinking Cache Management for Modern Hardware. 557-573 - Costin Lupu, Andrei Albisoru, Radu Nichita, Doru-Florin Blânzeanu, Mihai Pogonaru, Razvan Deaconescu, Costin Raiciu:
Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs. 574-589 - 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:
Unikernel Linux (UKL). 590-605 - Hwijoon Lim, Jaehong Kim, Inho Cho, Keon Jang, Wei Bai, Dongsu Han:
FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks. 606-622 - M. R. Siavash Katebzadeh, Paolo Costa, Boris Grot:
Saba: Rethinking Datacenter Network Allocation from Application's Perspective. 623-638 - Zhaoyi Li, Jiawei Huang, Yijun Li, Aikun Xu, Shengwen Zhou, Jingling Liu, Jianxin Wang:
A2TP: Aggregator-aware In-network Aggregation for Multi-tenant Learning. 639-653 - Jian Zhang, Ye Ji, Shuai Mu, Cheng Tan:
Viper: A Fast Snapshot Isolation Checker. 654-671 - Yu Chen Wang, Angela Demke Brown, Ashvin Goel:
Integrating Non-Volatile Main Memory in a Deterministic Database. 672-686 - Matthew Burke, Florian Suri-Payer, Jeffrey Helt, Lorenzo Alvisi, Natacha Crooks:
Morty: Scaling Concurrency Control with Re-Execution. 687-702 - Xiaojian Liao, Zhe Yang, Jiwu Shu:
RIO: Order-Preserving and CPU-Efficient Remote Storage Access. 703-717 - Hayley LeBlanc, Shankara Pailoor, Om Saran K. R. E, Isil Dillig, James Bornholt, Vijay Chidambaram:
Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems. 718-733 - João Gonçalves, Miguel Matos, Rodrigo Rodrigues:
Mumak: Efficient and Black-Box Bug Detection for Persistent Memory. 734-750 - Yasas Seneviratne, Korakit Seemakhupt, Sihang Liu, Samira Manabi Khan:
NearPM: A Near-Data Processing System for Storage-Class Applications. 751-767 - Gyewon Lee, Jaewoo Maeng, Jinsol Park, Jangho Seo, Haeyoon Cho, Youngseok Yang, Taegeon Um, Jongsung Lee, Jae W. Lee, Byung-Gon Chun:
FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines. 768-783 - Jinhyung Koo, Jinwook Bae, Minjeong Yuk, Seonggyun Oh, Jungwoo Kim, Jung-Soo Park, Eunji Lee, Bryan S. Kim, Sungjin Lee:
All-Flash Array Key-Value Cache for Large Objects. 784-799 - Jin Yang, Heejin Yoon, Gyeongchan Yun, Sam H. Noh, Young-ri Choi:
DyTIS: A Dynamic Dataset Targeted Index Structure Simultaneously Efficient for Search, Insert, and Scan. 800-816 - Vikram Narayanan, David Detweiler, Tianjiao Huang, Anton Burtsev:
DRAMHiT: A Hash Table Architected for the Speed of DRAM. 817-834 - Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang:
Lyra: Elastic Scheduling for Deep Learning Clusters. 835-850 - Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury:
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. 851-866 - Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng:
Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies. 867-882 - Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou:
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. 883-898
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