PPT-1 Aérgia: Exploiting Packet Latency Slack in On-Chip Networks

Reetuparna Das Onur Mutlu Thomas Moscibroda Chita Das Intel Labs PennState CMU Microsoft Research NetworkonChip NetworkonChip. End-to-end performance analysis of large-scale Internet services. Michael Chow. David . Meisner. , Jason . Flinn. , Daniel Peek, Thomas F. . Wenisch. Internet services are complex. Michael Chow. 2. Tasks. Kulkarni. . Ameya.s. . JongHwa. Song. Ashvin. Goal (University of Toronto). Charles . Krasic. (University of British Columbia). Jonathan Walpole (Portland State University) . Mark Claypool and David . Finkel. {. claypool,dfinkel. }@cs.wpi.edu. Computer Science and. Interactive Media & Game Development. Worcester Polytechnic Institute. 1. Cloud-based Games. Connectivity and capacity of networks growing. Presence of Reordering. Myungjin. Lee. , Sharon Goldberg,. Ramana. . Rao. . Kompella. , . George Varghese. Trend toward low-latency networks. Low latency: one of important . metrics in . designing a network. Eric Verdin, MD. Associate Director and Senior Investigator. HIV Latency: Establishment vs. Maintenance. HIV Latency at the Molecular Level. HIV Latency at the Molecular Level. HIV Latency at the Molecular Level. Mark Claypool and David . Finkel. Worcester Polytechnic Institute. 1. In . Proceedings of the 13th ACM Network and System Support for Games (. NetGames. ). , . Nagoya, Japan, December 4-5, 2014. . Cloud-based Games. Networking . Perspective:. Congestion and Scalability in . Many. -Core . Interconnects. George Nychis. ✝. , Chris . Fallin. ✝. , . Thomas . Moscibroda. ★. , . Onur. . Mutlu. ✝, . Srinivasan. Shreya. The Problem. Machine learning requires real time, accurate, and robust predictions under heavy query load.. Most machine learning frameworks care about optimizing model training not deployment. Keqiang He, . Weite. Qin, . Qiwei. Zhang, . Wenfei. Wu. , . Junjie. Yang, Tian Pan, . Chengchen. Hu, Jiao Zhang, Brent Stephens, Aditya . Akella. , Ying Zhang. 1. Bandwidth Allocation in Clouds . Network Performance Measurement. Srinivas Narayana. MIT CSAIL. An example: High tail latencies. Delay completion of flows. (and applications). An example: High tail latencies. Where is the queue buildup?. Networking . Perspective:. Congestion and Scalability in . Many. -Core . Interconnects. George Nychis. ✝. , Chris . Fallin. ✝. , . Thomas . Moscibroda. ★. , . Onur. . Mutlu. ✝, . Srinivasan. George . Michelogiannakis. , Nan Jiang,. Daniel Becker, William J. Dally. Stanford University. MICRO 44, 3-7 December 2011, Porto . Allegre. , Brazil. Introduction. Performance sensitive to allocator performance. DCSS Fall 2018. NLI Collaboration Course Series. CCS delivered our first round of . NLI courses this semester. We are offering the following courses next semester. Collaboration using . G Suite. Collaboration using . Lecture . 33: . Interconnection Networks. Prof. Onur Mutlu. Carnegie Mellon University. Spring . 2015, . 4/. 27/2015. Logistics. Lab . 7 and Lab 8. Final Exam. Midterm II scores. Course grades so far.