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Effects of Hybrid CPU and Cache Architectures on Parallel HPC and Cloud Applications — arXiv:2608.23165

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.23165
License (as archived): CC0-1.0
Archived: 2026-10-18T07:50:17.305Z
SHA-256 of the archived text: 20a21a6f1a20decf7021104a758524469128a47c5da4f3fa83668e5b6f437de1
Stable URL of this page: https://metraipolis.com/documento/dc_bc5237ce69da

How to cite

Effects of Hybrid CPU and Cache Architectures on Parallel HPC and Cloud Applications — arXiv:2608.23165 — arXiv (en), https://arxiv.org/abs/2608.23165 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bc5237ce69da (Metraipolis archive dc_bc5237ce69da, sha256 20a21a6f1a20decf7021104a758524469128a47c5da4f3fa83668e5b6f437de1)

BibTeX

@misc{dcbc5237ce69da,
  title = {Effects of Hybrid CPU and Cache Architectures on Parallel HPC and Cloud Applications — arXiv:2608.23165},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.23165},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bc5237ce69da; sha256 20a21a6f1a20decf7021104a758524469128a47c5da4f3fa83668e5b6f437de1},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.23165. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Hybrid CPU architectures have entered the mainstream desktop computing with the announcement of Intel's Alderlake architecture. Such a transition to heterogeneous CPU architecture has various performance and power implications on existing parallel workloads. In this paper we study the effects and impact of hybrid core and cache architecture on the performance of highly parallel HPC workloads. We also illustrate interesting thread scaling behavior for parallel workloads and describes the reason for such behavior both qualitatively and quantitatively. We also explore the impact of hybrid cache architecture on parallel shared data HPC applications. Finally, we illustrate that 1) parallel applications with work imbalance (i.e., threads in application perform different amount of work) scale better across hybrid cores when thread affinity is disabled and 2) hybrid cache architecture has very little impact on parallel shared data applications except for some workloads with locks. This work lays the foundation for our future work which focuses on extending this work to model parallel workloads and hybrid CPU architectures to improve their performance in terms of execution time, memory usage and power consumption.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-08-25 in cs.DC).
Categorie arXiv: Distributed, Parallel, and Cluster Computing (cs.DC).
Pagina del lavoro: https://arxiv.org/abs/2608.23165 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-18T07:47:32.960Z dalla pagina https://arxiv.org/catchup/cs.DC/2026-08-25?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).