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ORCID15th OSDI 2021
- Angela Demke Brown, Jay R. Lorch:
15th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2021, July 14-16, 2021. USENIX Association 2021
Optimizations and Scheduling for Machine Learning
- Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing:
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. - Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Oort: Efficient Federated Learning via Guided Participant Selection. 19-35 - Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang
, Liyan Zheng, Yuanzhi Li, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia:
PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections. 37-54 - Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer:
Privacy Budget Scheduling. 55-74
Storage
- Jinhyung Koo, Junsu Im, Jooyoung Song, Juhyung Park, Eunji Lee, Bryan S. Kim, Sungjin Lee:
Modernizing File System through In-Storage Indexing. 75-92 - Qing Wang, Youyou Lu, Junru Li, Jiwu Shu:
Nap: A Black-Box Approach to NUMA-Aware Persistent Memory Indexes. 93-111 - Jaehyun Hwang, Midhul Vuppalapati, Simon Peter, Rachit Agarwal:
Rearchitecting Linux Storage Stack for µs Latency and High Throughput. 113-128 - Amy Tai, Igor Smolyar, Michael Wei, Dan Tsafrir:
Optimizing Storage Performance with Calibrated Interrupts. 129-145 - Kyuhwa Han, Hyunho Gwak, Dongkun Shin, Jooyoung Hwang:
ZNS+: Advanced Zoned Namespace Interface for Supporting In-Storage Zone Compaction. 147-162
Data Management
- Tanvir Ahmed Khan, Ian Neal, Gilles Pokam, Barzan Mozafari, Baris Kasikci:
DMon: Efficient Detection and Correction of Data Locality Problems Using Selective Profiling. 163-181 - Kirk Rodrigues, Yu Luo, Ding Yuan:
CLP: Efficient and Scalable Search on Compressed Text Logs. 183-198 - Jia-Chen Wang, Ding Ding, Huan Wang, Conrad Christensen, Zhaoguo Wang, Haibo Chen, Jinyang Li:
Polyjuice: High-Performance Transactions via Learned Concurrency Control. 198-216 - Sijie Shen, Rong Chen, Haibo Chen, Binyu Zang:
Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing. 219-238
Operating Systems and Hardware
- Stephen Ibanez, Alex Mallery, Serhat Arslan, Theo Jepsen, Muhammad Shahbaz, Changhoon Kim, Nick McKeown:
The nanoPU: A Nanosecond Network Stack for Datacenters. 239-256 - A. H. Hunter, Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, Parthasarathy Ranganathan:
Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator. 257-273 - Erhu Feng, Xu Lu, Dong Du, Bicheng Yang, Xueqiang Jiang, Yubin Xia, Binyu Zang, Haibo Chen:
Scalable Memory Protection in the PENGLAI Enclave. 275-294 - Ankit Bhardwaj, Chinmay Kulkarni, Reto Achermann, Irina Calciu, Sanidhya Kashyap, Ryan Stutsman, Amy Tai, Gerd Zellweger:
NrOS: Effective Replication and Sharing in an Operating System. 295-312
Security and Privacy
- Ishtiyaque Ahmad, Yuntian Yang, Divyakant Agrawal, Amr El Abbadi, Trinabh Gupta:
Addra: Metadata-private voice communication over fully untrusted infrastructure. - Mingyu Li, Jinhao Zhu, Tianxu Zhang, Cheng Tan, Yubin Xia, Sebastian Angel, Haibo Chen:
Bringing Decentralized Search to Decentralized Services. 331-347 - Youngseok Yang, Taesoo Kim, Byung-Gon Chun:
Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing. 349-365 - Sam Kumar, David E. Culler, Raluca Ada Popa:
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation. 367-385 - Lukas Burkhalter, Nicolas Küchler, Alexander Viand, Hossein Shafagh, Anwar Hithnawi:
Zeph: Cryptographic Enforcement of End-to-End Data Privacy. 387-404
Correctness
- Jianan Yao, Runzhou Tao, Ronghui Gu, Jason Nieh, Suman Jana, Gabriel Ryan:
DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols. 405-421 - Tej Chajed, Joseph Tassarotti, Mark Theng, Ralf Jung, M. Frans Kaashoek, Nickolai Zeldovich:
GoJournal: a verified, concurrent, crash-safe journaling system. 423-439 - Nico Lehmann, Rose Kunkel, Jordan Brown, Jean Yang, Niki Vazou, Nadia Polikarpova, Deian Stefan, Ranjit Jhala:
STORM: Refinement Types for Secure Web Applications. 441-459 - Shaghayegh Mardani, Ayush Goel, Ronny Ko, Harsha V. Madhyastha, Ravi Netravali:
Horcrux: Automatic JavaScript Parallelism for Resource-Efficient Web Computation. - Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su:
SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs. 479-494
Graph Embeddings and Neural Networks
- John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu:
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. 495-514 - Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding:
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. 515-531 - Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, Shivaram Venkataraman:
Marius: Learning Massive Graph Embeddings on a Single Machine. 533-549 - Swapnil Gandhi, Anand Padmanabha Iyer:
P3: Distributed Deep Graph Learning at Scale. 551-568
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