A small-scale experimental platform to support graph analytics

本申请寻求资金来更新我们当前的图形处理实验平台。虽然我们可以访问我们的研究合作伙伴（美国劳伦斯利弗莫尔国家实验室和加拿大Telus）的大规模实验平台，但访问UBC的小型平台以支持代码开发，执行有限规模的实验，探索各种单节点优化的影响，并管理数据集已被证明对快速研究进展至关重要，以引导现有的研究合作，并培养学生。***我的团队通过前两次NSERC RTI拨款（2012年和2013年）获得的实验平台现在已经过时了，这笔资金将支持升级它。特别是，我们的目标是获得一个具有大内存空间（DDR4）以及新的英特尔存储级内存的工作站- 2x 750GB英特尔Optane卡和充足的旋转磁盘存储。***该平台将用于支持正在进行的研究项目和与来自不同应用领域的合作伙伴的合作：(i)在标记图形中进行精确和近似的模式匹配（与LLNL的合作，正在进行中）；（ii）处理动态图形（与LLNL合作，正在进行中）；（iii）基于图形的启发式方法，以检测易受攻击的用户帐户（与Telus合作，正在进行中）；（iv）有效地使用存储类内存进行图形处理（与ORNL合作，引导）。**

This application seeks funding to update a our current experimental platform for graph processing. While we have access to massive-scale experimental platforms at our research partners (Lawrence Livermore National Laboratories - USA and Telus - Canada), access to a small platform at UBC to support code development, perform limited-scale experiments, explore the impact of various single-node optimizations, and curate datasets has proven essential to make swift research progress, to bootstrap the existing research collaborations, and to train students. *** The experimental platform my group has acquired through two previous NSERC RTI grants (2012 and 2013) is now obsolete and this funding will support upgrading it. In particular, we aim to acquire a workstation with large memory space (DDR4) as well as the new Intel storage-class memory - 2x 750GB Intel Optane cards and ample spinning disk storage.*** This platform will be used to support ongoing research projects and collaborations with partners from diverse application domains: (i) exact and approximate pattern matching in labelled graphs (collaboration with LLNL, ongoing); (ii) processing for dynamic graphs (collaboration with LLNL, ongoing); (iii) graph-based heuristics to detect vulnerable user accounts (collaboration with Telus, ongoing); and (iv) efficient use of storage-class memories for graph processing (collaboration with ORNL, bootstrapping). **