ASPLOS'23 - Session 5C - Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitionin - ViDoe

ASPLOS'23 - Session 5C - Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitionin

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ACM SIGARCH

1 year ago

ASPLOS'23 - Session 5C - Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitionin

ASPLOS'23 - Session 5C - Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitionin

ASPLOS'23 - Session 5C - Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitionin

11:07

ASPLOS'23 - Session 5C - Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitionin

ASPLOS'23 - Session 5C - Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers

12:07

ASPLOS'23 - Session 5C - Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers

ASPLOS'23 - Session 8C - uGrapher: High-performance Graph Operator Computation via Unified Abstracti

12:04

ASPLOS'23 - Session 8C - uGrapher: High-performance Graph Operator Computation via Unified Abstracti

$NSDI '23 - BGL: GPU-Efficient GNN Training by Optimizing Graph Data I\/O and Preprocessing$

16:38

NSDI '23 - BGL: GPU-Efficient GNN Training by Optimizing Graph Data I\/O and Preprocessing

Untitled song #7

4:59

Untitled song #7

by Antworld studio

ASPLOS'23 - Session 6C - Glign: Taming Misaligned Graph Traversals in Concurrent Graph Processing

12:15

ASPLOS'23 - Session 6C - Glign: Taming Misaligned Graph Traversals in Concurrent Graph Processing

$ASPLOS'23 - Session 5B - Re-architecting I\/O Caches for Emerging Fast Storage Devices$

11:23

ASPLOS'23 - Session 5B - Re-architecting I\/O Caches for Emerging Fast Storage Devices

$Large-scale GNN training with DGL | SAMPL Talk 2021\/12\/02$

1:17:18

Large-scale GNN training with DGL | SAMPL Talk 2021\/12\/02

ASPLOS'23 - Session 1A - Heron: Automatically Constrained High-performance Library Generation for De

11:25

ASPLOS'23 - Session 1A - Heron: Automatically Constrained High-performance Library Generation for De

ASPLOS'23 - Session 2B - DefT: Boosting Scalability of Deformable Convolution Operations on GPUs

14:42

ASPLOS'23 - Session 2B - DefT: Boosting Scalability of Deformable Convolution Operations on GPUs

Debussy Estampes, L 100 1 Pagodes

6:05

Debussy Estampes, L 100 1 Pagodes

ASPLOS'23 - Session 7A - Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Co

13:15

ASPLOS'23 - Session 7A - Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Co

Machine Learning on Large-Scale Graphs

48:50

Machine Learning on Large-Scale Graphs

by Simons Institute

ASPLOS'23 - Session 3A - Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenter

11:42

ASPLOS'23 - Session 3A - Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenter

Piiblitund - Mis on Piibel?

1:24:30

Piiblitund - Mis on Piibel?

by Karjase kogudus

IPDPS'23 - GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing

13:22

IPDPS'23 - GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing

by KAIST CAMELab

both sides of the moon - celeste, gotts street park (cover)

4:41

both sides of the moon - celeste, gotts street park (cover)

by aifoS

KDD 2023 - WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window

2:58

KDD 2023 - WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window

by Association for Computing Machinery (ACM)