Scalable In-memory Computing: A Perspective from Systems Software-2

[视频介绍]
简介: In-memory computing promises 1000X faster data access speed, which brings opportunities to boost transaction processing speed into a higher level. In this talk, I will describe our recent research efforts in providing speedy in-memory transactions at the scale of millions of transactions per second. Specifically, I will present how we leverage advanced hardware features like HTM, RDMA to provide both better single-node and distributed in-memory transactions and query processing, how operating systems and processor architecture could be refined to further ease and improve in-memory transaction processing, as well as how concurrency control protocol can be adapted accordingly to fit our need.
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视频介绍

讲师:陈海波

  • CCF杰出会员、杰出演讲者,CCF 青年科学家奖获得者,CCF与全国优秀博士学位论文奖获得者
  • 上海交通大学教授,国家“万人计划”青年拔尖人才计划入选者
  • 研究方向:系统软件与系统结构等

关键词:

课程简介: In-memory computing promises 1000X faster data access speed, which brings opportunities to boost transaction processing speed into a higher level. In this talk, I will describe our recent research efforts in providing speedy in-memory transactions at the scale of millions of transactions per second. Specifically, I will present how we leverage advanced hardware features like HTM, RDMA to provide both better single-node and distributed in-memory transactions and query processing, how operating systems and processor architecture could be refined to further ease and improve in-memory transaction processing, as well as how concurrency control protocol can be adapted accordingly to fit our need.