Osdi 22 Sparta Deep Learning

Media Summary: Project Adam: Building an Efficient and Scalable nnScaler: Constraint-Guided Parallelization Plan Generation for Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe, ...

Osdi 22 Sparta Deep Learning - Detailed Analysis & Overview

Project Adam: Building an Efficient and Scalable nnScaler: Constraint-Guided Parallelization Plan Generation for Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe, ...

Photo Gallery

OSDI '22 - SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute

OSDI '22 - ROLLER: Fast and Efficient Tensor Compilation for Deep Learning

OSDI '22 - Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update

OSDI '23 - AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving

OSDI '22 - Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters

USENIX ATC '22/OSDI '22 Joint Keynote Address - The Computing and Information Science...

OSDI '14 - Project Adam: Building an Efficient and Scalable Deep Learning Training System

USENIX ATC '22 - Sibylla: To Retry or Not To Retry on Deep Learning Job Failure

OSDI '20 - Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks

OSDI '24 - nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

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

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

View Detailed Profile

OSDI '22 - SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute

OSDI '22 - SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute

OSDI

OSDI '22 - ROLLER: Fast and Efficient Tensor Compilation for Deep Learning

OSDI '22 - ROLLER: Fast and Efficient Tensor Compilation for Deep Learning

OSDI

OSDI '22 - Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update

OSDI '22 - Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update

OSDI

OSDI '23 - AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving

OSDI '23 - AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving

OSDI

OSDI '22 - Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters

OSDI '22 - Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters

OSDI

USENIX ATC '22/OSDI '22 Joint Keynote Address - The Computing and Information Science...

USENIX ATC '22/OSDI '22 Joint Keynote Address - The Computing and Information Science...

USENIX

OSDI '14 - Project Adam: Building an Efficient and Scalable Deep Learning Training System

OSDI '14 - Project Adam: Building an Efficient and Scalable Deep Learning Training System

Project Adam: Building an Efficient and Scalable

USENIX ATC '22 - Sibylla: To Retry or Not To Retry on Deep Learning Job Failure

USENIX ATC '22 - Sibylla: To Retry or Not To Retry on Deep Learning Job Failure

USENIX

OSDI '20 - Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks

OSDI '20 - Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks

Rammer: Enabling Holistic

OSDI '24 - nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

OSDI '24 - nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

nnScaler: Constraint-Guided Parallelization Plan Generation for

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

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

OSDI

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, ...