Workshop on Parallel Algorithms and Data Structures

并行算法和数据结构研讨会

• 批准号: 1930579
• 负责人: Nodari Sitchinava
• 金额: $ 3.71万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1930579&HistoricalAwards=false
• 关键词: Workshop; Parallel; Algorithms; Data; Structures

This award will support a workshop on the topic of parallel algorithms and data structures to be held at the University of Hawaii at Manoa on December 9-13, 2019. This workshop will bring together researchers in parallel algorithms and from broader algorithms community to present recent advances in modeling modern parallel systems and to perform research solving open problems in parallel algorithms and data structures. Students will be exposed to the research environment and will have an opportunity to engage in research. The University of Hawaii is a Native Hawaiian-serving institution, and the workshop will promote participation by underrepresented groups in computing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

This award will support a workshop on the topic of parallel algorithms and data structures to be held at the University of Hawaii at Manoa on December 9-13, 2019. This workshop will bring together researchers in parallel algorithms and from broader algorithms community to present recent advances in modeling modern parallel systems and to perform research solving open problems in parallel algorithms and data structures.学生将接触到研究环境，并有机会从事研究。夏威夷大学是一家夏威夷当地服务机构，研讨会将促进代表性不足的团体参与计算的参与。该奖项反映了NSF的法定任务，并且认为值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来获得支持。

项目成果

A Computational Model for Tensor Core Units

• DOI: 10.1145/3350755.3400252
• 发表时间: 2019-08
• 期刊: Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures
• 作者: Francesco Silvestri;Flavio Vella

Atomic Power in Forks: A Super-Logarithmic Lower Bound for Implementing Butterfly Networks in the Nonatomic Binary Fork-Join Model

分叉中的原子力：在非原子二元分叉连接模型中实现蝴蝶网络的超对数下界

• DOI: 10.1137/1.9781611976465.128
• 发表时间: 2021
• 期刊: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA
• 作者: Goodrich, Michael T;Jacob, Riko;Sithinava, Nodari
• 通讯作者: Sithinava, Nodari