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This code contains the memory reclamation benchmark used for the experiments and techniques reported in the paper titled: "Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization" accepted in IEEE TPDS 2023. https://doi.org/10.1109/TPDS.2023.3335671 DOI: 10.1109/TPDS.2023.3335671 The repo at present contains 6 data structures and 11 state of the art memory reclamation algorithms. gitrepo : [https://gitlab.com/aajayssingh/nbr_setbench_plus]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |