The SAGE Project: a Storage Centric Approach for Exascale Computing

The SAGE Project: a Storage Centric Approach for Exascale Computing

6 July 2018

Sai B. Narasimhamurthy

Steven W. D. Chien

Sergio Rivas-Gomez

Stefano Markidis

Papers citing "The SAGE Project: a Storage Centric Approach for Exascale Computing"

11 / 11 papers shown

Title
DAOS as HPC Storage: Exploring Interfaces Adrian Jackson Nicolau Manubens 15 2 0 30 Nov 2023
DisTRaC: Accelerating High Performance Compute Processing for Temporary Data Storage Gabryel Mason-Williams David Bond M. Basham 40 0 0 06 Dec 2022
Performance Comparison of DAOS and Lustre for Object Data Storage Approaches Nicolau Manubens Simon D. Smart T. Quintino Adrian Jackson 13 7 0 16 Nov 2022
DAOS as HPC Storage, a view from Numerical Weather Prediction Nicolau Manubens T. Quintino Simon D. Smart E. Danovaro Adrian Jackson 6 7 0 14 Aug 2022
sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems Steven W. D. Chien Jonas Nylund Gabriel Bengtsson Ivy Bo Peng Artur Podobas Stefano Markidis 18 12 0 10 Aug 2020
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads Steven W. D. Chien Artur Podobas Ivy Bo Peng Stefano Markidis 21 11 0 10 Aug 2020
Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code C. Sishtla Steven W. D. Chien V. Olshevsky Erwin Laure Stefano Markidis 14 4 0 07 Apr 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 21 50 0 06 Oct 2018
Exploring Scientific Application Performance Using Large Scale Object Storage Steven W. D. Chien Stefano Markidis Rami Karim Erwin Laure Sai B. Narasimhamurthy 27 4 0 06 Jul 2018
SAGE: Percipient Storage for Exascale Data Centric Computing Sai B. Narasimhamurthy N. Danilov S. Wu G. Umanesan Stefano Markidis Sergio Rivas-Gomez Ivy Bo Peng Erwin Laure D. Pleiter S. D. Witt ELM 21 19 0 01 May 2018
Savu: A Python-based, MPI Framework for Simultaneous Processing of Multiple, N-dimensional, Large Tomography Datasets Nicola Wadeson M. Basham 36 62 0 24 Oct 2016