High Performance I/O For Large Scale Deep Learning

7 January 2020

Papers citing "High Performance I/O For Large Scale Deep Learning"

5 / 5 papers shown

Title
GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification Yang Mu Zhitong Xiong Yi Wang Muhammad Shahzad Franz Essl Mark van Kleunen Xiao Xiang Zhu VLM 69 0 0 18 May 2025
pCAMP: Performance Comparison of Machine Learning Packages on the Edges Xingzhou Zhang Yifan Wang Weisong Shi 31 91 0 05 Jun 2019
Characterizing Deep-Learning I/O Workloads in TensorFlow Steven W. D. Chien Stefano Markidis C. Sishtla Luís Santos Pawel Herman Sai B. Narasimhamurthy Erwin Laure 38 50 0 06 Oct 2018
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 110 2,386 0 10 Jul 2017
Comparative Study of Deep Learning Software Frameworks S. Bahrampour Naveen Ramakrishnan Lukas Schott Mohak Shah 45 161 0 19 Nov 2015