Quick Summary: Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ... Smart Casual Verification of the Confidential Consortium Framework Heidi Howard, Markus A.

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OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud Ertza Warraich, Purdue University; ... Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ... Smart Casual Verification of the Confidential Consortium Framework Heidi Howard, Markus A.

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Smart Casual Verification of the Confidential Consortium Framework Heidi Howard, Markus A. Yuchen Jin, University of Washington; Colin Scott, UC Berkeley; Amogh Dhamdhere, CAIDA; Vasileios Giotsas, Lancaster ...

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RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs Jiaxin Lin, Adney Cardoza, Tarannum Khan, and Yeonju Ro, ... Soo-Jin Moon, Carnegie Mellon University Network operators today deploy a wide range of complex stateful network functions ... Disaggregating Stateful Network Functions Deepak Bansal, Gerald DeGrace, Rishabh Tewari, Michal Zygmunt, and James ...

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  • Soo-Jin Moon, Carnegie Mellon University Network operators today deploy a wide range of complex stateful network functions ...
  • OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud Ertza Warraich, Purdue University; ...
  • Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ...
  • RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs Jiaxin Lin, Adney Cardoza, Tarannum Khan, and Yeonju Ro, ...
  • Yuchen Jin, University of Washington; Colin Scott, UC Berkeley; Amogh Dhamdhere, CAIDA; Vasileios Giotsas, Lancaster ...
  • Disaggregating Stateful Network Functions Deepak Bansal, Gerald DeGrace, Rishabh Tewari, Michal Zygmunt, and James ...

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Reference Image Set

NSDI '25 - SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads
NSDI '25 - OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the...
NSDI '21 - Ownership: A Distributed Futures System for Fine-Grained Tasks
NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions
NSDI '23 - SHEPHERD: Serving DNNs in the Wild
NSDI '23 - Disaggregating Stateful Network Functions
NSDI '25 - Smart Casual Verification of the Confidential Consortium Framework
NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions
NSDI '19 - Stable and Practical AS Relationship Inference with ProbLink
NSDI '23 - RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs
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NSDI '25 - SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads

NSDI '25 - SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads

Read more details and related context about NSDI '25 - SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads.

NSDI '25 - OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the...

NSDI '25 - OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the...

OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud Ertza Warraich, Purdue University; ...

NSDI '21 - Ownership: A Distributed Futures System for Fine-Grained Tasks

NSDI '21 - Ownership: A Distributed Futures System for Fine-Grained Tasks

Read more details and related context about NSDI '21 - Ownership: A Distributed Futures System for Fine-Grained Tasks.

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ...

NSDI '23 - SHEPHERD: Serving DNNs in the Wild

NSDI '23 - SHEPHERD: Serving DNNs in the Wild

Read more details and related context about NSDI '23 - SHEPHERD: Serving DNNs in the Wild.

NSDI '23 - Disaggregating Stateful Network Functions

NSDI '23 - Disaggregating Stateful Network Functions

Disaggregating Stateful Network Functions Deepak Bansal, Gerald DeGrace, Rishabh Tewari, Michal Zygmunt, and James ...

NSDI '25 - Smart Casual Verification of the Confidential Consortium Framework

NSDI '25 - Smart Casual Verification of the Confidential Consortium Framework

Smart Casual Verification of the Confidential Consortium Framework Heidi Howard, Markus A. Kuppe, Edward Ashton, and ...

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

Soo-Jin Moon, Carnegie Mellon University Network operators today deploy a wide range of complex stateful network functions ...

NSDI '19 - Stable and Practical AS Relationship Inference with ProbLink

NSDI '19 - Stable and Practical AS Relationship Inference with ProbLink

Yuchen Jin, University of Washington; Colin Scott, UC Berkeley; Amogh Dhamdhere, CAIDA; Vasileios Giotsas, Lancaster ...

NSDI '23 - RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs

NSDI '23 - RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs

RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs Jiaxin Lin, Adney Cardoza, Tarannum Khan, and Yeonju Ro, ...