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Memory and power constraints limit the current landscape of high-performance computing. Hardware specializations in clusters lead to heterogeneity, Non-Uniform Memory Architecture (NUMA) effects, and accelerator offloading. These increase the complexity of developing and optimizing scientific software.
Schmitz et al. (2024) studied this question.
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