Towards Next-Generation Graph Processing and Management Platform

T. Suzumura
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Abstract

Applications which need to process and manage large graph data sets have imposed significant challenges for data science community in recent times. This talk discusses the key challenges which need to be handled when implementing a next-generation graph processing and management platform. There are several key problems which needs to be addressed in building such large graph processing system. First, optimized techniques needs to be followed for managing extremely large graph data. Second, new programming models and software tools need to be created for efficiently processing large graphs. This talk will discuss the approaches which need to be followed in addressing these two major issues and will highlight our vision in achieving the challenges of next-generation graph processing and management.
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面向下一代图形处理与管理平台
近年来,需要处理和管理大型图数据集的应用程序给数据科学界带来了巨大的挑战。本讲座讨论了在实现下一代图形处理和管理平台时需要处理的关键挑战。构建这样的大型图形处理系统需要解决几个关键问题。首先,需要采用优化的技术来管理超大的图形数据。其次,需要创建新的编程模型和软件工具来有效地处理大型图形。本讲座将讨论解决这两个主要问题需要遵循的方法,并将强调我们在实现下一代图形处理和管理挑战方面的愿景。
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Session details: Keynote Address Proceedings of the ACM Workshop on High Performance Graph Processing Parallel Shortest-Path Queries in Planar Graphs Session details: Full Papers Session 3 Session details: Short Papers Session
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