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Demystifying the Performance of HPC Scientific Applications on NVM-based
  Memory Systems

Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems

IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
16 February 2020
Ivy Bo Peng
Kai Wu
Jie Ren
Dong Li
Maya Gokhale
ArXiv (abs)PDFHTML

Papers citing "Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems"

5 / 5 papers shown
A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems
A Quantitative Approach for Adopting Disaggregated Memory in HPC SystemsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Jacob Wahlgren
Gabin Schieffer
Maya Gokhale
Ivy Bo Peng
275
19
0
28 Aug 2023
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental
  Implications of HPC Systems
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC SystemsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Baolin Li
Rohan Basu Roy
Daniel Wang
S. Samsi
V. Gadepally
Devesh Tiwari
385
74
0
22 Jun 2023
An autoencoder compression approach for accelerating large-scale inverse
  problems
An autoencoder compression approach for accelerating large-scale inverse problemsInverse Problems (IP), 2023
J. Wittmer
Jacob Badger
H. Sundar
T. Bui-Thanh
AI4CE
204
2
0
10 Apr 2023
Dynamic Page Placement on Real Persistent Memory Systems
Dynamic Page Placement on Real Persistent Memory Systems
Miguel A. L. Marques
Ilia Kuzmin
J. Barreto
J. Monteiro
Rodrigo Rodrigues
142
4
0
23 Dec 2021
Assessing the Use Cases of Persistent Memory in High-Performance
  Scientific Computing
Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing
Yehonatan Fridman
Yaniv Snir
M. Rusanovsky
Kfir Zvi
Harel Levin
Danny Hendler
Hagit Attiya
Gal Oren
156
7
0
05 Sep 2021
1
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