来自车间椅子的信息

2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2020-05-01 DOI:10.1109/cahpc.2018.8645919

Scott McMillan, Manoj Kumar, Danai Koutra, M. Halappanavar, T. Mattson, Antonino Tumeo

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引用次数: 0

摘要

graphl 2020:图、架构、编程和学习研讨会，汇集了两个密切相关的主题——图的合成(表示)和分析如何在硬件和软件中得到支持，以及图算法与机器学习的交互方式。在大规模数据分析工作流程中使用的各种方法的自然结果的驱动下，GrAPL的范围很广。GrAPL ' 2020是IPDPS两个成功的研讨会系列:GABB和GraML合并的第二版。GABB在IPDPS的第14届会议上启动了一个邀请演讲和小组讨论的项目。GraML于2017年和2018年在IPDPS举行。

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Message from the workshop chairs

GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning, brings together two closely related topics - how the synthesis (representation) and analysis of graphs is supported in hardware and software, and the ways graph algorithms interact with machine learning. Driven by the natural outgrowth of a wide range of methods used in large-scale data analytics workflows, GrAPL’s scope is broad. GrAPL’2020 is the second edition of the merger between two successful workshop series at IPDPS: GABB and GraML. GABB started at IPDPS’14 with a program of invited-talks and panel discussions. GraML was held at IPDPS in 2017 and 2018.

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2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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