第三届异构可组合与分解系统研讨会论文集
Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems
AI总结：
本文介绍第三届HCDS研讨会，聚焦异构可组合分解系统如何通过资源池化与动态组合减少资源供需失衡，并探索其与操作系统及运行时集成以提升工作负载收益。
摘要：
计算系统的未来不可避免地正在拥抱一种分解与可组合的模式：从计算机集群走向可根据应用需求动态组合并量身定制的资源池。向这一新范式的过渡需要开创性的研究，范围涵盖从新的硬件架构到软件栈各层级的新模型与新抽象。近期CPU与互连技术的硬件进展，使得外设和系统内存的分解成为可能。内存系统的异构性正在进一步增加，可组合性与分解有助于以经济高效的方式提升内存容量、改善内存利用率，并降低总拥有成本。异构可组合分解系统（HCDS）提供了一种系统设计方法，用于减少工作负载资源需求与计算系统中资源静态可用性之间的失衡。HCDS研讨会旨在探索围绕可组合分解系统及其与操作系统和软件运行时集成的新研究思路，以最大化用户工作负载所感知到的收益。
英文摘要：
The future of computing systems is inevitably embracing a disaggregated and composable pattern: from clusters of computers to pools of resources that can be dynamically combined together and tailored around applications requirements. Transitioning to this new paradigm requires ground-breaking research, ranging from new hardware architectures up to new models and abstractions at all levels of the software stack. Recent hardware advancements in CPU and interconnection technologies, enabled the possibility of disaggregating peripherals and system memory. The memory system heterogeneity is further increasing, composability and disaggregation are beneficial to increase memory capacity and improve memory utilization in a cost-effective way, and reduce total cost of ownership. Heterogeneous and Composable Disaggregated Systems (HCDS) provide a system design approach for reducing the imbalance between workloads resource requirements and the static availability of resources in a computing system. The HCDS workshop aims at exploring the novel research ideas around composable disaggregated systems and their integration with operating systems and software runtimes to maximize the benefit perceived from user workloads.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
