SIST-Seminar—Scalable In-memory Computing Using Emerging Commodity Hardware
文章来源:信息科学与技术学院            发布日期:2017-07-14            浏览次数:1432

标题:Scalable In-memory Computing Using Emerging Commodity Hardware



报告人: 陈海波

Speaker:  陈海波
Time:       July 17,3:00 pm-4:00 pm.

Location: Room 1A-200 , SIST Building

Inviter:  江舸


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 effort of providing speedy in-memory transactions and queries at the scale of millions of transactions/queries per second. Specifically, I will present how we leverage advanced hardware features like HTM and RDMA to provide both better single-node and distributed in-memory transactions and queries, how operating systems and processor architecture could be refined to further ease and improve in-memory computing, as well as how concurrency control protocol can be adapted accordingly to fit our need.


Haibo Chen is a Professor at the School of Software, Shanghai Jiao Tong University, where he co-founds and leads the Institute of Parallel and Distributed Systems (IPADS) ( He is currently on leave at Huawei, where he builds and directs the Operating System Kernel Lab. Haibo’s main research interests are building scalable and dependable systems software, by leveraging cross-layering approaches spanning computer hardware system virtualization and operating systems. He pioneered in the research of system virtualization for trustworthiness of cloud as well as in building speedy in-memory transaction and query systems with world-record high throughput and low latency. He received best paper awards from ICPP, APSys and EuroSys, a best paper nominee from HPCA, the Young Computer Scientist Award from China Computer Federation, the distinguished Ph.D thesis award from China Ministry of Education and National Youth Top-notch Talent Support Program of China. He also received fault research award/fellowship from NetApp, Google, IBM and MSRA. He is currently the steering committee co-chair of ACM APSys, the general co-chair of SOSP 2017, serves on program committees of SOSP 2017, ASPLOS 2017, Oakland 2017, EuroSys 2017, CCS 2017 and FAST 2017, the Award Committee of ACM SIGSAC and CCF/IEEE CS Young Computer Scientist Award, as well as the editorial board of ACM Transactions on Storage.