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Faster Neural Network Training with Data Echoing

Faster Neural Network Training with Data Echoing

12 July 2019
Dami Choi
Alexandre Passos
Christopher J. Shallue
George E. Dahl
ArXivPDFHTML

Papers citing "Faster Neural Network Training with Data Echoing"

7 / 7 papers shown
Title
tf.data service: A Case for Disaggregating ML Input Data Processing
tf.data service: A Case for Disaggregating ML Input Data Processing
Andrew Audibert
Yangrui Chen
D. Graur
Ana Klimovic
Jiří Šimša
C. A. Thekkath
44
16
0
26 Oct 2022
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine
  Learning Data Pipelines
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines
Michael Kuchnik
Ana Klimovic
Jiří Šimša
Virginia Smith
George Amvrosiadis
56
30
0
07 Nov 2021
Understanding Data Storage and Ingestion for Large-Scale Deep
  Recommendation Model Training
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training
Mark Zhao
Niket Agarwal
Aarti Basant
B. Gedik
Satadru Pan
...
Kevin Wilfong
Harsha Rastogi
Carole-Jean Wu
Christos Kozyrakis
Parikshit Pol
GNN
34
70
0
20 Aug 2021
Large-Scale Differentially Private BERT
Large-Scale Differentially Private BERT
Rohan Anil
Badih Ghazi
Vineet Gupta
Ravi Kumar
Pasin Manurangsi
36
131
0
03 Aug 2021
Data augmentation in Bayesian neural networks and the cold posterior
  effect
Data augmentation in Bayesian neural networks and the cold posterior effect
Seth Nabarro
Stoil Ganev
Adrià Garriga-Alonso
Vincent Fortuin
Mark van der Wilk
Laurence Aitchison
BDL
29
37
0
10 Jun 2021
tf.data: A Machine Learning Data Processing Framework
tf.data: A Machine Learning Data Processing Framework
D. Murray
Jiří Šimša
Ana Klimovic
Ihor Indyk
PINN
AI4CE
LMTD
47
87
0
28 Jan 2021
tf-Darshan: Understanding Fine-grained I/O Performance in Machine
  Learning Workloads
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads
Steven W. D. Chien
Artur Podobas
Ivy Bo Peng
Stefano Markidis
16
11
0
10 Aug 2020
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