Investigating Performance Factors in Persistent Devices
Abstract
Persistent Memory is an emerging technology that combines the characteristics of DRAM and SSD, enabling its application in a variety of tasks. However, some issues may arise regarding its functionality and performance when tested on a machine equipped with it, especially with respect to NUMA devices and cache operations. In light of this, this paper presents some insights that seek to uncover how these factors impact the performance of persistent devices.References
Baldassin, A., Barreto, J. a., Castro, D., and Romano, P. (2021). Persistent memory: A survey of programming support and implementations. ACM Comput. Surv., 54(7).
Islam, A. A. R. and Dai, D. (2023). Dgap: Efficient dynamic graph analysis on persistent memory. In Proc. of the SC’23.
Seltzer, M., Marathe, V., and Byan, S. (2018). An NVM Carol: Visions of NVM Past, Present, and Future. In Proc. of the ICDE’18, pages 15–23.
Islam, A. A. R. and Dai, D. (2023). Dgap: Efficient dynamic graph analysis on persistent memory. In Proc. of the SC’23.
Seltzer, M., Marathe, V., and Byan, S. (2018). An NVM Carol: Visions of NVM Past, Present, and Future. In Proc. of the ICDE’18, pages 15–23.
Published
2024-05-16
How to Cite
SPAGNOL, Lucas; HONORIO, Bruno; GALVÃO, Edgar; FRANCESQUINI, Emilio; BALDASSIN, Alexandro.
Investigating Performance Factors in Persistent Devices. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SÃO PAULO (ERAD-SP), 15. , 2024, Rio Claro/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 81-84.
DOI: https://doi.org/10.5753/eradsp.2024.239925.
