• Corpus ID: 232424665

NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems

@article{Blueman2021NUMAscopeCA,
  title={NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems},
  author={Daniel J. Blueman and Foivos S. Zakkak and Christos Kotselidis},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.11836}
}
Cache-coherent non-uniform memory access (ccNUMA) systems enable parallel applications to scale-up to thousands of cores and many terabytes of main memory. However, since remote accesses come at an increased cost, extra measures are necessitated to scale the applications to high core-counts and process far greater amounts of data than a typical server can hold. In a similar manner to how applications are optimized to improve cache utilization, applications also need to be optimized to improve… 

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