Media Summary: Author: S.V.N. Vishwanathan, Department of Computer Science, University of California Santa Cruz Abstract: Many Themis: Fair and Efficient GPU Cluster Scheduling Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram ... OptiReduce: Resilient and Tail-Optimal AllReduce for

Nsdi 17 Tux Distributed Graph Computation For Machine Learning - Detailed Analysis & Overview

Author: S.V.N. Vishwanathan, Department of Computer Science, University of California Santa Cruz Abstract: Many Themis: Fair and Efficient GPU Cluster Scheduling Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram ... OptiReduce: Resilient and Tail-Optimal AllReduce for This is the seventeenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University ... Xiaowei Zhu, Wentao Han, and Wenguang Chen, Tsinghua University Presented at USENIX ATC '15. Juncheng Gu, Mosharaf Chowdhury, and Kang G. Shin, University of Michigan, Ann Arbor; Yibo Zhu, Microsoft and Bytedance; ...

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NSDI '17 - Tux²: Distributed Graph Computation for Machine Learning
NSDI '21 - TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs
Exploiting the Computation Graph for Large Scale Distributed Machine Learning
NSDI '20 - Themis: Fair and Efficient GPU Cluster Scheduling
USENIX Security '23 - Inductive Graph Unlearning
NSDI '25 - OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the...
NSDI '20 - Batchy: Batch scheduling Data Flow Graphs with Service level Objectives
NSDI '21 - Scaling Distributed Machine Learning with In-Network Aggregation
Probabilistic ML - Lecture 17 - Factor Graphs
GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning
NSDI '22 MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Hetero. GPU Clusters
NSDI '19 - Tiresias: A GPU Cluster Manager for Distributed Deep Learning
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NSDI '17 - Tux²: Distributed Graph Computation for Machine Learning

NSDI '17 - Tux²: Distributed Graph Computation for Machine Learning

Tux²:

NSDI '21 - TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs

NSDI '21 - TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs

NSDI

Exploiting the Computation Graph for Large Scale Distributed Machine Learning

Exploiting the Computation Graph for Large Scale Distributed Machine Learning

Author: S.V.N. Vishwanathan, Department of Computer Science, University of California Santa Cruz Abstract: Many

NSDI '20 - Themis: Fair and Efficient GPU Cluster Scheduling

NSDI '20 - Themis: Fair and Efficient GPU Cluster Scheduling

Themis: Fair and Efficient GPU Cluster Scheduling Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram ...

USENIX Security '23 - Inductive Graph Unlearning

USENIX Security '23 - Inductive Graph Unlearning

USENIX Security '23 - Inductive

Sponsored
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

NSDI '20 - Batchy: Batch scheduling Data Flow Graphs with Service level Objectives

NSDI '20 - Batchy: Batch scheduling Data Flow Graphs with Service level Objectives

Batchy: Batch scheduling Data Flow

NSDI '21 - Scaling Distributed Machine Learning with In-Network Aggregation

NSDI '21 - Scaling Distributed Machine Learning with In-Network Aggregation

NSDI

Probabilistic ML - Lecture 17 - Factor Graphs

Probabilistic ML - Lecture 17 - Factor Graphs

This is the seventeenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University ...

GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning

GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning

Xiaowei Zhu, Wentao Han, and Wenguang Chen, Tsinghua University Presented at USENIX ATC '15.

NSDI '22 MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Hetero. GPU Clusters

NSDI '22 MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Hetero. GPU Clusters

Presentation in

NSDI '19 - Tiresias: A GPU Cluster Manager for Distributed Deep Learning

NSDI '19 - Tiresias: A GPU Cluster Manager for Distributed Deep Learning

Juncheng Gu, Mosharaf Chowdhury, and Kang G. Shin, University of Michigan, Ann Arbor; Yibo Zhu, Microsoft and Bytedance; ...

OSDI '21 - P3: Distributed Deep Graph Learning at Scale

OSDI '21 - P3: Distributed Deep Graph Learning at Scale

P3: