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English(EN) SysPilot: Cross-Library Performance Autotuning via Library Performance Contracts

SysPilot 系统利用新颖的契约优化跨库性能

研究人员开发了 SysPilot,一个旨在优化集成多个独立开发库的应用程序性能的新颖系统。SysPilot 利用库性能契约 (LPCs),一种称为 LPCL 的规范语言,来描述每个库的资源需求和交互。通过组合这些契约,SysPilot 可以识别库之间潜在的资源冲突,通过分析验证这些假设,并选择最佳配置。据报道,这种方法比 OpenTuner 和 SMAC3 等通用自动调优器取得了高达 38% 的性能提升,同时所需的优化运行次数减少了三分之二。 AI

影响 该系统可以通过优化集成库之间的资源分配来提高复杂 AI 应用程序的效率和性能。

排序理由 该集群包含一篇研究论文,详细介绍了一种新的性能自动调优系统和方法。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

SysPilot 系统利用新颖的契约优化跨库性能

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该集群包含一篇研究论文,详细介绍了一种新的性能自动调优系统和方法。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yineng Yan, Haowei Chen, Christopher J. Rossbach ·

    SysPilot:通过库性能合约实现跨库性能自动调优

    arXiv:2611.06078v1 Announce Type: cross Abstract: Modern scientific and machine-learning applications compose many independently developed libraries. When these libraries run together, their independently managed runtimes can oversubscribe shared resources: using the same CPU cor…