OSDI 2021

31 papers

P3: Distributed Deep Graph Learning at Scale

Swapnil Gandhi, Anand Padmanabha Iyer

Marius: Learning Massive Graph Embeddings on a Single Machine

Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, Shivaram Venkataraman

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs

Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng

Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads

John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu

SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs

Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su

Horcrux: Automatic JavaScript Parallelism for Resource-Efficient Web Computation

Shaghayegh Mardani, Ayush Goel, Ronny Ko, Harsha V. Madhyastha, Ravi Netravali

STORM: Refinement Types for Secure Web Applications

Nico Lehmann, Rose Kunkel, Jordan Brown, Jean Yang, Niki Vazou

GoJournal: a verified, concurrent, crash-safe journaling system

Tej Chajed, Joseph Tassarotti, Mark Theng, Ralf Jung, M. Frans Kaashoek

DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols

Jianan Yao, Runzhou Tao, Ronghui Gu, Jason Nieh, Suman Jana

Zeph: Cryptographic Enforcement of End-to-End Data Privacy

Lukas Burkhalter, Nicolas Küchler, Alexander Viand, Hossein Shafagh, Anwar Hithnawi

MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation

Sam Kumar, David E. Culler, Raluca Ada Popa, Awarded Best Paper!

Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing

Youngseok Yang, Taesoo Kim, Byung-gon Chun

Bringing Decentralized Search to Decentralized Services

Mingyu Li, Jinhao Zhu, Tianxu Zhang, Cheng Tan, Yubin Xia

Addra: Metadata-private voice communication over fully untrusted infrastructure

Ishtiyaque Ahmad, Yuntian Yang, Divyakant Agrawal, Amr El Abbadi, Trinabh Gupta

NrOS: Effective Replication and Sharing in an Operating System

Ankit Bhardwaj, Chinmay Kulkarni, Reto Achermann, Irina Calciu, Sanidhya Kashyap

Scalable Memory Protection in the PENGLAI Enclave

Erhu Feng, Xu Lu, Dong Du, Bicheng Yang, Xueqiang Jiang

Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator

A.H. Hunter, Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley

The nanoPU: A Nanosecond Network Stack for Datacenters

Stephen Ibanez, Alex Mallery, Serhat Arslan, Theo Jepsen, Muhammad Shahbaz

Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing

Sijie Shen, Rong Chen, Haibo Chen, Binyu Zang

Polyjuice: High-Performance Transactions via Learned Concurrency Control

Jiachen Wang, Ding Ding, Huan Wang, Conrad Christensen, Zhaoguo Wang

CLP: Efficient and Scalable Search on Compressed Text Logs

Kirk Rodrigues, Yu Luo, Ding Yuan

DMon: Efficient Detection and Correction of Data Locality Problems Using Selective Profiling

Tanvir Ahmed Khan, Ian Neal, Gilles Pokam, Barzan Mozafari, Baris Kasikci

ZNS+: Advanced Zoned Namespace Interface for Supporting In-Storage Zone Compaction

Kyuhwa Han, Hyunho Gwak, Dongkun Shin, Jooyoung Hwang

Optimizing Storage Performance with Calibrated Interrupts

Amy Tai, Igor Smolyar, Michael Wei, Dan Tsafrir

Rearchitecting Linux Storage Stack for µs Latency and High Throughput

Jaehyun Hwang, Midhul Vuppalapati, Simon Peter, Rachit Agarwal

Nap: A Black-Box Approach to NUMA-Aware Persistent Memory Indexes

Qing Wang, Youyou Lu, Junru Li, Jiwu Shu

Modernizing File System through In-Storage Indexing

Jinhyung Koo, Junsu Im, Jooyoung Song, Juhyung Park, Eunji Lee

Privacy Budget Scheduling

Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu

PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections

Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang

Oort: Efficient Federated Learning via Guided Participant Selection

Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury, Distinguished Artifact Award Winner

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho