Media Summary: Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing Youngseok Yang, Seoul National University; ... Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe, ... MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation Sam Kumar, David E. Culler, and Raluca Ada Popa, University ...

Osdi 21 Dmon Efficient Detection - Detailed Analysis & Overview

Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing Youngseok Yang, Seoul National University; ... Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe, ... MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation Sam Kumar, David E. Culler, and Raluca Ada Popa, University ... Decouple and Decompose: Scaling Resource Allocation with DeDe Zhiying Xu and Minlan Yu, Harvard University; Francis Y. Yan ... Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering Shreesha G. Bhat, Tony Hong, Xuhao Luo, Jiyu ... Llumnix: Dynamic Scheduling for Large Language Model Serving Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi ...

MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric ... Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols Tony Nuda Zhang and Keshav Singh, ... Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline Distributed Protocol Proofs Tony Nuda Zhang, ... Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory Ming Zhang, Yu Hua, and Zhijun Yang, ...

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OSDI '21 - DMon: Efficient Detection and Correction of Data Locality Problems Using Selective
OSDI '21 - Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing
OSDI '21 - Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and
OSDI '22 - Operating System Support for Safe and Efficient Auxiliary Execution
USENIX ATC '21/OSDI '21 Joint Keynote Address-It's Time for Operating Systems to Rediscover Hardware
OSDI '21 - MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation
USENIX-SEC 2021 - MIRAGE A Fully Associative Randomized Cache
OSDI '25 - Decouple and Decompose: Scaling Resource Allocation with DeDe
OSDI '22 - DuoAI: Fast, Automated Inference of Inductive Invariants for Verifying Distributed...
OSDI '25 - Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering
OSDI '24 - Llumnix: Dynamic Scheduling for Large Language Model Serving
OSDI '24 - MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference...
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OSDI '21 - DMon: Efficient Detection and Correction of Data Locality Problems Using Selective

OSDI '21 - DMon: Efficient Detection and Correction of Data Locality Problems Using Selective

DMon

OSDI '21 - Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing

OSDI '21 - Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing

Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing Youngseok Yang, Seoul National University; ...

Sponsored
OSDI '21 - Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and

OSDI '21 - Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and

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

OSDI '22 - Operating System Support for Safe and Efficient Auxiliary Execution

OSDI '22 - Operating System Support for Safe and Efficient Auxiliary Execution

OSDI

USENIX ATC '21/OSDI '21 Joint Keynote Address-It's Time for Operating Systems to Rediscover Hardware

USENIX ATC '21/OSDI '21 Joint Keynote Address-It's Time for Operating Systems to Rediscover Hardware

USENIX

Sponsored
OSDI '21 - MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation

OSDI '21 - MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation

MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation Sam Kumar, David E. Culler, and Raluca Ada Popa, University ...

USENIX-SEC 2021 - MIRAGE A Fully Associative Randomized Cache

USENIX-SEC 2021 - MIRAGE A Fully Associative Randomized Cache

This is the talk from

OSDI '25 - Decouple and Decompose: Scaling Resource Allocation with DeDe

OSDI '25 - Decouple and Decompose: Scaling Resource Allocation with DeDe

Decouple and Decompose: Scaling Resource Allocation with DeDe Zhiying Xu and Minlan Yu, Harvard University; Francis Y. Yan ...

OSDI '22 - DuoAI: Fast, Automated Inference of Inductive Invariants for Verifying Distributed...

OSDI '22 - DuoAI: Fast, Automated Inference of Inductive Invariants for Verifying Distributed...

OSDI

OSDI '25 - Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering

OSDI '25 - Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering

Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering Shreesha G. Bhat, Tony Hong, Xuhao Luo, Jiyu ...

OSDI '24 - Llumnix: Dynamic Scheduling for Large Language Model Serving

OSDI '24 - Llumnix: Dynamic Scheduling for Large Language Model Serving

Llumnix: Dynamic Scheduling for Large Language Model Serving Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi ...

OSDI '24 - MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference...

OSDI '24 - MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference...

MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric ...

OSDI '25 - Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols

OSDI '25 - Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols

Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols Tony Nuda Zhang and Keshav Singh, ...

OSDI '24 - Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline...

OSDI '24 - Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline...

Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline Distributed Protocol Proofs Tony Nuda Zhang, ...

USENIX ATC '21 - CrystalPerf: Learning to Characterize the Performance of Dataflow Computation...

USENIX ATC '21 - CrystalPerf: Learning to Characterize the Performance of Dataflow Computation...

USENIX

OSDI '24 - Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory

OSDI '24 - Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory

Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory Ming Zhang, Yu Hua, and Zhijun Yang, ...

OSDI '25 - Extending Applications Safely and Efficiently

OSDI '25 - Extending Applications Safely and Efficiently

Extending Applications Safely and

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