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JUWELS Booster -- A Supercomputer for Large-Scale AI Research

JUWELS Booster -- A Supercomputer for Large-Scale AI Research

30 June 2021
Stefan Kesselheim
A. Herten
K. Krajsek
J. Ebert
J. Jitsev
Mehdi Cherti
M. Langguth
Bing Gong
S. Stadtler
A. Mozaffari
Gabriele Cavallaro
Rocco Sedona
A. Schug
A. Strube
Roshni Kamath
Martin G. Schultz
M. Riedel
T. Lippert
    GNN
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Papers citing "JUWELS Booster -- A Supercomputer for Large-Scale AI Research"

4 / 4 papers shown
Title
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Alessio Quercia
Erenus Yildiz
Zhuo Cao
Kai Krajsek
Abigail Morrison
Ira Assent
Hanno Scharr
51
0
0
22 Jan 2025
ZeRO-Offload: Democratizing Billion-Scale Model Training
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren
Samyam Rajbhandari
Reza Yazdani Aminabadi
Olatunji Ruwase
Shuangyang Yang
Minjia Zhang
Dong Li
Yuxiong He
MoE
160
413
0
18 Jan 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
228
4,460
0
23 Jan 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
1