PPT-RouteBricks: Exploiting Parallelism To Scale Software Routers

Mihai Dobrescu et al SOSP 2009 Best Paper Presentor Hun Namkung Contents Introduction Parallelizing Across Servers Parallelizing Within Servers Evaluation Conclusion HW Router RouteBricks. Understandably because these routers are very robust their capable of handling large amounts of tr affic have advanced security fea tures and hold all the informati on pertaining to the network If only these routers needed to be maintained netw ork We propose a software router architecture that parallelizes router functionality both across multiple servers and across multiple cores within a single server By carefully exploiting parallelism at every opportu nity we demonstrate a 35 Gbps paralle edu Abstract The emergence of multicore processors has heightened the need for effective parallel programming practices In addition to writing new parallel programs the next gener ation of programmers will be faced with the overwhelming task of migra Jialu. Huang,. Thomas B. . Jablin. ,. Stephen R. Beard,. Nick P. Johnson. , and. David I. August. 2. Multicore. “. F. ree . lunch” is over.. G. reat . successes in TLP.. Missed . opportunities…. Disclosure. Vincent. CH14. I. ntroduction. In . this chapter, we . will try to. . extract further information from an application during an . actual attack. . . This mainly involves . I. nteracting . By Rohit Ghatol. Director of Engineering - Synerzip. JavaScript. jQuery. Backbone.js. Angular.js. Twitter Bootstrap. Yoeman. Require.js. Aura.js. Grunt. Bower. Compass. SaSS. Sencha. Knockout.js. D3JS. Presented . by A. Craik . (. 5. -Jan-12). Research supported by funding . from . Microsoft Research and the Queensland State Government. 1. Introduction. 2. Procedural Algorithm. Sequential Implementation w/ Injected Parallelism. As we saw last week, dynamic instruction issue allows us to exploit as much parallelism as exists in instruction code. Our stalling situations are limited to finite resources, cache misses and branches. Hitesh Ballani, Paul Francis, Tuan Cao and Jia Wang. Cornell University and AT&T Labs-Research. Presented by Gregory Peaker, Zhen Qin. Outline. Motivation. ViAggre design. Allocating aggregation points. As we saw last week, dynamic instruction issue allows us to exploit as much parallelism as exists in instruction code. Our stalling situations are limited to finite resources, cache misses and branches. : Exploiting Parallelism To Scale Software Routers. Mihai . Dobrescu. . et al.. SOSP 2009 Best Paper. Presentor. : Hun . Namkung. Contents. Introduction. Parallelizing Across Servers. Parallelizing Within Servers. Parallelism. . from Processing Flow . Applying. 　. Pipeline-based . Programming Method . on . Manycore. Accelerators. Shinichi Yamagiwa. University of Tsukuba. Japan. Table of contents. Research backgrounds. Work Management at Scale | HighGear : From the . Very Large . to the . Very Small. Saurabh Bagchi. School of Electrical and Computer Engineering. Department of Computer Science . Purdue University. Presentation available at: . engineering.purdue.edu/dcsl.