Performance analysis of emerging data analytics and HPC workloads-Reference-Cited by-同舟云学术

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Performance analysis of emerging data analytics and HPC workloads

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems - PDSW-DISCS '17
language:
Short-container-title:

Author:

Daley Christopher S.¹,Prabhat ¹,Dosanjh Sudip¹,Wright Nicholas J.¹

Affiliation:

1. Lawrence Berkeley National Laboratory

Funder

U.S. Department of Energy

Publisher

ACM Press

Reference20 articles.

1. 2016. MiniDFT. http://www.nersc.gov/research-and-development/apex/apex-benchmarks/minidft/; accessed 7 September 2017. (March 2016).

2. 2016. MPI implementations of PCA and RPCA. https://github.com/alexgittens/mpi_pcavariants; accessed 7 September 2017. (2016).

3. 2017. IPM. https://github.com/nerscadmin/IPM; accessed 7 September 2017. (2017).

4. 2017. The DECam Legacy Survey. http://legacysurvey.org/; accessed 7 September 2017. (2017).

5. 2017.XC Series DataWarp User Guide.Technical Report CLE 6.0.UP04 S-2558. Cray. http://docs.cray.com/PDF/XC_Series_DataWarp_User_Guide_CLE60UP04_S-2558.pdf; accessed 7 September 2017.

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