Media Summary: From social networks to language modeling, the growing This program analyzes performance with varying vector sizes. ✓ Different input sizes from small to very Lingxiao Ma and Zhi Yang, Peking University; Youshan Miao, Jilong Xue, Ming Wu, and Lidong Zhou, Microsoft Research; Yafei ...

Large Scale Graph Parallel Computation - Detailed Analysis & Overview

From social networks to language modeling, the growing This program analyzes performance with varying vector sizes. ✓ Different input sizes from small to very Lingxiao Ma and Zhi Yang, Peking University; Youshan Miao, Jilong Xue, Ming Wu, and Lidong Zhou, Microsoft Research; Yafei ... For more information about Stanford's online Artificial Intelligence programs visit: To learn more about ... Groundbreaking work analyzing early Internet data revealed novel phenomena that became the basis of a new endeavor: ... (By Laxman Dhulipala, UMD and Google.) It is now possible to build multi-core servers equipped with dozens of terabytes, to even ...

Author: S.V.N. Vishwanathan, Department of Speaker: Tal Ben-Nun Conference: IPDPS'18 Abstract: Connected component identification is a fundamental problem in Presentation by Mohammad Dindoost at ChapelCon '25. Slides for this talk are available at: ... Co-authors Andrew Lenharth and Keshav Pingali discuss " When it comes to data, the more the better. There are endless datasets, both inside and outside of the organization, that can prove ... Title: Husong Liu, Shengliang Lu, Xinyu Chen, and Bingsheng He. 2020. G3: when

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Large Scale Graph-Parallel Computation for Machine Learning: Applications and Systems; Ankur Dave
Parallel processing benefits scale up
USENIX ATC '19 - NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
Alexander Heinlein - Domain Decomposition Solvers for Large-Scale Problems Using Graph Techniques
Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training
SPAA Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis
Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines
Exploiting the Computation Graph for Large Scale Distributed Machine Learning
A Parallel Programming Model for Graphs - Graph Analytics for Big Data
Scalable Graph-Parallel Inference Algorithms and Systems
Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling
NSDI '17 - Tux²: Distributed Graph Computation for Machine Learning
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Large Scale Graph-Parallel Computation for Machine Learning: Applications and Systems; Ankur Dave

Large Scale Graph-Parallel Computation for Machine Learning: Applications and Systems; Ankur Dave

From social networks to language modeling, the growing

Parallel processing benefits scale up

Parallel processing benefits scale up

This program analyzes performance with varying vector sizes. ✓ Different input sizes from small to very

Sponsored
USENIX ATC '19 - NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

USENIX ATC '19 - NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

Lingxiao Ma and Zhi Yang, Peking University; Youshan Miao, Jilong Xue, Ming Wu, and Lidong Zhou, Microsoft Research; Yafei ...

Alexander Heinlein - Domain Decomposition Solvers for Large-Scale Problems Using Graph Techniques

Alexander Heinlein - Domain Decomposition Solvers for Large-Scale Problems Using Graph Techniques

Keynote -- Seminar 16 -- 3 April 2025.

Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training

Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about ...

Sponsored
SPAA Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis

SPAA Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis

Groundbreaking work analyzing early Internet data revealed novel phenomena that became the basis of a new endeavor: ...

Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines

Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines

(By Laxman Dhulipala, UMD and Google.) It is now possible to build multi-core servers equipped with dozens of terabytes, to even ...

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

A Parallel Programming Model for Graphs - Graph Analytics for Big Data

A Parallel Programming Model for Graphs - Graph Analytics for Big Data

Link to this course: ...

Scalable Graph-Parallel Inference Algorithms and Systems

Scalable Graph-Parallel Inference Algorithms and Systems

Joseph Gonzalez, UC Berkeley

Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Speaker: Tal Ben-Nun Conference: IPDPS'18 Abstract: Connected component identification is a fundamental problem in

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

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

Tux²: Distributed

Efficient Large-Scale Language Model Training on GPU Clusters

Efficient Large-Scale Language Model Training on GPU Clusters

Large

HiPerMotif: Novel Parallel Subgraph Isomorphism in Large-Scale Property Graphs | ChapelCon '25

HiPerMotif: Novel Parallel Subgraph Isomorphism in Large-Scale Property Graphs | ChapelCon '25

Presentation by Mohammad Dindoost at ChapelCon '25. Slides for this talk are available at: ...

Big Data Analytics on Massive Scale Graphs

Big Data Analytics on Massive Scale Graphs

We present a system for partitioning

Parallelized Algorithms for Massive Graphs (ft. Slobodan Mitrović)

Parallelized Algorithms for Massive Graphs (ft. Slobodan Mitrović)

Today's information is often stored on

Introduction to Graph processing at Planet Scale (Pregel, Giraph)

Introduction to Graph processing at Planet Scale (Pregel, Giraph)

Deep Dive into

CACM May 2016 - Parallel Graph Analytics

CACM May 2016 - Parallel Graph Analytics

Co-authors Andrew Lenharth and Keshav Pingali discuss "

Life in the Fast Lane The Power of Large Scale Graphs

Life in the Fast Lane The Power of Large Scale Graphs

When it comes to data, the more the better. There are endless datasets, both inside and outside of the organization, that can prove ...

G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs

G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs

Title: Husong Liu, Shengliang Lu, Xinyu Chen, and Bingsheng He. 2020. G3: when

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