138 lines
5.2 KiB
YAML
138 lines
5.2 KiB
YAML
venue: OSDI
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year: 2025
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papers:
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- title: 'Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols'
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authors:
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- Tony Nuda Zhang
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- Keshav Singh
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- Tej Chajed
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- Manos Kapritsos
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- Bryan Parno
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reason: "Automates the construction of correctness proofs for distributed protocols that were previously considered undecidable, advancing the state of the art in verified systems."
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- title: 'Mako: Speculative Distributed Transactions with Geo-Replication'
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authors:
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- Weihai Shen
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- Yang Cui
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- Siddhartha Sen 0001
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- Sebastian Angel
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- Shuai Mu 0001
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reason: "Combines speculative execution with geo-replication to deliver low-latency distributed transactions without sacrificing consistency, addressing a fundamental tension in wide-area systems."
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- title: Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering
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authors:
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- Shreesha G. Bhat
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- Tony Hong
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- Xuhao Luo
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- Jiyu Hu
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- Aishwarya Ganesan
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- Ramnatthan Alagappan
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reason: "Introduces fix-ante ordering to achieve low latency on a shared log without sacrificing throughput, offering a new design point for log-based distributed storage."
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- title: 'Okapi: Decoupling Data Striping and Redundancy Grouping in Cluster File Systems'
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authors:
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- Sanjith Athlur
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- Timothy Kim
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- Saurabh Kadekodi
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- Francisco Maturana
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- Xavier Ramos
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- Arif Merchant
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- K. V. Rashmi
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- Gregory R. Ganger
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reason: "Challenges a long-standing coupling in erasure-coded cluster file systems, enabling independent optimization of striping and redundancy with measurable gains in production workloads."
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- title: 'PoWER Never Corrupts: Tool-Agnostic Verification of Crash Consistency and Corruption Detection'
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authors:
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- Hayley LeBlanc
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- Jacob R. Lorch
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- Chris Hawblitzel
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- Cheng Huang
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- Yiheng Tao
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- Nickolai Zeldovich
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- Vijay Chidambaram
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reason: "Provides a tool-agnostic framework for formally verifying crash consistency and corruption detection in storage systems, raising the bar for storage software correctness."
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- title: 'EMT: An OS Framework for New Memory Translation Architectures'
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authors:
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- Siyuan Chai 0001
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- Jiyuan Zhang 0003
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- Jongyul Kim 0001
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- Alan Wang
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- Fan Chung
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- Jovan Stojkovic
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- Weiwei Jia 0001
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- Dimitrios Skarlatos 0002
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- Josep Torrellas
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- Tianyin Xu
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reason: "Defines an OS abstraction layer that decouples applications from hardware-specific memory translation mechanisms, enabling future memory architectures to be adopted without OS rewrites."
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- title: 'XSched: Preemptive Scheduling for Diverse XPUs'
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authors:
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- Weihang Shen
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- Mingcong Han
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- Jialong Liu
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- Rong Chen 0001
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- Haibo Chen 0001
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reason: "Generalises preemptive scheduling to heterogeneous accelerators (XPUs), providing a unified OS-level mechanism for fair and responsive multi-tenant accelerator sharing."
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- title: Extending Applications Safely and Efficiently
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authors:
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- Yusheng Zheng
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- Tong Yu
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- Yiwei Yang 0002
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- Yanpeng Hu
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- Xiaozheng Lai
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- Dan Williams 0001
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- Andi Quinn
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reason: "Presents a principled model for safe, efficient application extensibility that generalises beyond eBPF, with implications for the design of future OS extension mechanisms."
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- title: 'NanoFlow: Towards Optimal Large Language Model Serving Throughput'
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authors:
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- Kan Zhu
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- Yufei Gao
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- Yilong Zhao 0002
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- Liangyu Zhao
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- Gefei Zuo
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- Yile Gu
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- Dedong Xie
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- Zihao Ye 0001
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- Keisuke Kamahori
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- Chien-Yu Lin
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- Ziren Wang
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- Stephanie Wang
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- Arvind Krishnamurthy
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- Baris Kasikci
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reason: "Analytically characterises the throughput ceiling for LLM serving and proposes a system that approaches that bound through fine-grained intra-device parallelism."
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- title: 'WaferLLM: Large Language Model Inference at Wafer Scale'
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authors:
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- Congjie He
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- Yeqi Huang
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- Pei Mu 0003
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- Ziming Miao
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- Jilong Xue
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- Lingxiao Ma
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- Fan Yang 0024
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- Luo Mai
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reason: "Demonstrates end-to-end LLM inference on wafer-scale hardware, tackling novel challenges in memory, communication, and fault tolerance at an unprecedented scale of integration."
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- title: 'Mirage: A Multi-Level Superoptimizer for Tensor Programs'
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authors:
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- Mengdi Wu
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- Xinhao Cheng
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- Shengyu Liu
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- Chunan Shi
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- Jianan Ji
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- Man Kit Ao
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- Praveen Velliengiri
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- Xupeng Miao
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- Oded Padon
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- Zhihao Jia
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reason: "Extends tensor program superoptimisation to multiple abstraction levels, discovering non-obvious kernel fusions that outperform hand-tuned implementations for ML workloads."
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- title: 'Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks'
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authors:
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- Yuxuan Jiang 0016
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- Ziming Zhou
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- Boyu Xu 0005
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- Beijie Liu
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- Runhui Xu
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- Peng Huang 0005
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reason: "Addresses the underappreciated problem of silent hardware and software errors in large-scale DL training, providing automated proactive checks that catch failures before they corrupt long training runs."
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- title: 'Compass: Encrypted Semantic Search with High Accuracy'
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authors:
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- Jinhao Zhu
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- Liana Patel
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- Matei Zaharia
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- Raluca Ada Popa
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reason: "Enables accurate semantic (vector) search over encrypted data, bridging the gap between privacy-preserving computation and modern retrieval workloads in cloud-hosted RAG systems."
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