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Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS [article]

Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2020 arXiv   pre-print
In this paper, we provide extensive performance evaluations conducted with a recently released NVM device, Intel Optane DC Persistent Memory (PMem), under different configurations with several micro-benchmark  ...  From the lessons learned we share some recommendations for future DBMS design with PMem, e.g.simple hardware or software changes are not enough for the best use of PMem in DBMSs.  ...  Each socket is also populated with 96GB of DRAM (six 16GB Micron DDR4), and 1 TB PMem (two interleaved 512GB Intel Optane DC Persistent Memory modules installed in memory DIMM slots).  ... 
arXiv:2005.07658v1 fatcat:yip532aspvdvzkyaltqwh6idhq

Dagstuhl Reports, Volume 11, Issue 6, July 2021, Complete Issue [article]

2021
We discussed several results from the literature related to aspects of parametrized complexity, in particular kernel-based methods, separators, path -and treewidth-related questions.  ...  We reviewed the most important results from the seminal paper on the parametrized complexity of 1-planarity by Bannister, Cabello and Eppstein [1].  ...  Basic performance measurements of the intel optane dc persistent memory module, 2019. Joy Arulraj, Matthew Perron, and Andrew Pavlo. Write-behind logging. Proc. VLDB Endow., 10(4):337-348, 2016.  ... 
doi:10.4230/dagrep.11.6 fatcat:4ojdxh5mknhx5op4bxxc7ypgna