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Lattice Boltzmann method (LBM) application analysis using READEX approach provided by MERIC library. Exhaustive algorithm has been used for state space search. This data has been measured on a single node of TU Dresden Taurus supercomputer powered by two Intel Xeon CPUs E5-2680v3 (codename Haswell). HDEEM system has been used for energy measurement.
{"references": ["LBM benchmark repository: https://baltig.infn.it/schifano/d2q37-bench-aos", "MERIC repository: https://code.it4i.cz/vys0053/meric"]}
HPC, READEX, MERIC, energy efficiency
HPC, READEX, MERIC, energy efficiency
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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 |
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