MLSys2022 BNS-GCN

Feedback
Report

10 Views PremiumNov 26, 2022

[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin

Repost is prohibited without the creator's permission.

0 Follower · 32 Videos

Recommended for You

All
Anime

ICML2020 AutoGAN-Distiller

12:05

ICML2020 AutoGAN-Distiller

5 Views

HPCA2022 GCN Co-Design (GCoD)

21:56

HPCA2022 GCN Co-Design (GCoD)

8 Views

ICCAD2021 G-CoS

20:39

ICCAD2021 G-CoS

7 Views

2021NeurIPS Robust Scratch Ticket

12:45

2021NeurIPS Robust Scratch Ticket

16 Views

VLSI Demo

4:56

50 Views

ECCV2020 HALO

9:56

11 Views

ISCA2020 SmartExchange

19:16

ISCA2020 SmartExchange

5 Views

DAC2021 A3C-S

14:56

5 Views

ISCA2020 TIMELY

19:14

ISCA2020 TIMELY

7 Views

ICASSP2020 DNN Chip Predictor

12:23

ICASSP2020 DNN Chip Predictor

7 Views

AAAI2022 Early-Bird GCN

17:20

AAAI2022 Early-Bird GCN

2 Views

2022ICML DepthShrinker

4:58

2022ICML DepthShrinker

1 View

MICRO2021 2-in-1 Accelerator

13:10

MICRO2021 2-in-1 Accelerator

5 Views

ECCV2022 SuperTickets

4:42

ECCV2022 SuperTickets

4 Views

DAC2021 InstantNet

9:02

DAC2021 InstantNet

1 View

[ICLR 2022] PipeGCN

6:17

[ICLR 2022] PipeGCN

3 Views

ICLR2020 EBTrain

5:26

ICLR2020 EBTrain

14 Views

ICCV2021 SACoD

4:12

1 View

ICLR2021 HW-NAS-Bench

7:31

ICLR2021 HW-NAS-Bench

8 Views

ICML2022 ShiftAddNAS

5:12

ICML2022 ShiftAddNAS

4 Views