Scalable Data Structures (Dagstuhl Seminar 21071)

G. Brodal, J. Iacono, M. Nebel, V. Ramachandran
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Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 21071 "Scalable Data Structure". Even if the field of data structures is quite mature, new trends and limitations in computer hardware together with the ever-increasing amounts of data that need to be processed raise new questions with respect to efficiency and continuously challenge the existing models of computation. Thermal and electrical power constraints have caused technology to reach "the power wall" with stagnating single processor performance, meaning that all nontrivial applications need to address scalability with multiple processors, a memory hierarchy and other communication challenges. Scalable data structures are pivotal to this process since they form the backbone of the algorithms driving these applications. The extended abstracts included in this report contain both recent state of the art advances and lay the foundation for new directions within data structures research.
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可扩展数据结构(Dagstuhl研讨会21071)
本报告记录了Dagstuhl研讨会21071“可扩展数据结构”的程序和结果。即使数据结构领域已经相当成熟,计算机硬件的新趋势和限制,以及需要处理的数据量的不断增加,都提出了有关效率的新问题,并不断挑战现有的计算模型。热和电力的限制已经导致技术达到了单处理器性能停滞不前的“电源墙”,这意味着所有重要的应用程序都需要解决多处理器的可扩展性、内存层次结构和其他通信挑战。可扩展的数据结构对这个过程至关重要,因为它们构成了驱动这些应用程序的算法的主干。本报告中包含的扩展摘要既包含了最新的技术进展,又为数据结构研究的新方向奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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