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

Osdi 21 Dmon Efficient Detection - Detailed Analysis & Overview

MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation Sam Kumar, David E. Culler, and Raluca Ada Popa, University ... 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, ... MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric ... Decouple and Decompose: Scaling Resource Allocation with DeDe Zhiying Xu and Minlan Yu, Harvard University; Francis Y. Yan ... Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline Distributed Protocol Proofs Tony Nuda Zhang, ...

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OSDI '21 - DMon: Efficient Detection and Correction of Data Locality Problems Using Selective
OSDI '21 - MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation
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 '24 - MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference...
USENIX ATC '21/OSDI '21 Joint Keynote Address-It's Time for Operating Systems to Rediscover Hardware
USENIX ATC '21 - CrystalPerf: Learning to Characterize the Performance of Dataflow Computation...
OSDI '22 - DuoAI: Fast, Automated Inference of Inductive Invariants for Verifying Distributed...
OSDI '25 - Decouple and Decompose: Scaling Resource Allocation with DeDe
USENIX-SEC 2021 - MIRAGE A Fully Associative Randomized Cache
FAST '21 - On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems
OSDI '24 - Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline...
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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 - 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 ...

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; ...

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 '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 ...

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

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 '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 - 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 ...

USENIX-SEC 2021 - MIRAGE A Fully Associative Randomized Cache

USENIX-SEC 2021 - MIRAGE A Fully Associative Randomized Cache

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FAST '21 - On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems

FAST '21 - On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems

FAST '

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 - Habitat: A Runtime-Based Computational Performance Predictor...

USENIX ATC '21 - Habitat: A Runtime-Based Computational Performance Predictor...

USENIX