Evaluation of Intel Memory Drive Technology Performance for Scientific Applications-Reference-Cited by-同舟云学术

Evaluation of Intel Memory Drive Technology Performance for Scientific Applications

Published:2018-11-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Workshop on Memory Centric High Performance Computing
language:
Short-container-title:

Author:

Mironov Vladimir¹,Kudryavtsev Andrey²,Alexeev Yuri³,Moskovsky Alexander⁴,Kulikov Igor⁵,Chernykh Igor⁵

Affiliation:

1. Department of Chemistry, Lomonosov Moscow State University, Moscow, Russian Federation

2. Intel Corporation, Folsom, California, USA

3. Argonne National Laboratory, Computational Science Division, Argonne, Illinois, USA

4. RSC Technologies, Moscow, Russian Federation

5. Institute of Computational, Mathematics and Mathematical, Geophysics SB RAS, Novosibirsk, Russian Federation

Funder

Intel Corporation

U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3286475.3286479

Reference22 articles.

1. 2018. AstroPhi. The hyperbolic PDE engine. https://github.com/IgorKulikov/AstroPhi 2018. AstroPhi. The hyperbolic PDE engine. https://github.com/IgorKulikov/AstroPhi

2. 2018. Hetero Streams Library. https://github.com/01org/hetero-streams 2018. Hetero Streams Library. https://github.com/01org/hetero-streams

3. 2018. Intel Math Kernel Library. https://software.intel.com/mkl 2018. Intel Math Kernel Library. https://software.intel.com/mkl

4. 2018. Intel Memory Drive Technology. https://www.intel.com/content/www/us/en/software/intel-memory-drive-technology.html 2018. Intel Memory Drive Technology. https://www.intel.com/content/www/us/en/software/intel-memory-drive-technology.html

5. 2018. Intel Performance Counter Monitor -- A better way to measure CPU utilization. www.intel.com/software/pcm 2018. Intel Performance Counter Monitor -- A better way to measure CPU utilization. www.intel.com/software/pcm

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. uMMAP-IO: User-Level Memory-Mapped I/O for HPC;2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC);2019-12

2. Performance Evaluation of the Intel Optane DC Memory With Scientific Benchmarks;2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC);2019-11

3. Multithreaded parallelization of the energy and analytic gradient in the fragment molecular orbital method;International Journal of Quantum Chemistry;2019-04-26

4. Evaluation of Intel Memory Drive Technology Performance for Computational Astrophysics;Communications in Computer and Information Science;2019

5. The Parallel Implementation of the Adaptive Mesh Technology in Poroelasticity Problems;Communications in Computer and Information Science;2019