PPT-Latency and Communication Challenges

Author : kittie-lecroy | Published Date : 2017-04-03

in Automated Manufacturing Kira Barton Department of Mechanical Engineering University of Michigan November 3 rd 2016 Data flow in automated manufacturing Current

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Latency and Communication Challenges: Transcript


in Automated Manufacturing Kira Barton Department of Mechanical Engineering University of Michigan November 3 rd 2016 Data flow in automated manufacturing Current Manufacturing Automation. Game Perspective. Requirements . and Constraints. - Requirements on consistency. - Requirements on latency. - User response to inconsistency and latency. Consistency : System Perspective. C1 : Local changes . 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. By. Abhay Chaudhary. Database Architect (IBM India Pvt.Ltd.). MCTS\MCITP : SQL Server 2005 , SQL Server 2008, SQL Server 2008 BI ,MCTS: SQL Server 2008 DB Developer , OCP 9i . 9+ years of Database Management experience .. 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. Dataflow Architectures. Supervisor: Anthony Steed. Sebastian . Friston. EngD. VEIV. Why Latency?. The time between a user’s action, and the computer’s response to this . action. Must be low to maintain the sense that the world is responding to the user – key to enabling presence. 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. What games do 7- 9 . yr. olds play ?. Monsters, witches, dragons…... . The . outside world is beginning to open up and offers excitement but also fear of the unknown. Children’s stories are filled with giants and monsters and dragons all . Presenter: Tianyi Shan. 1. Organization. Motivation and background. The “SNOW” theorem. COPS-SNOW design and Rococo-SNOW design. Evaluation of the results. Takeaway and Discussion. 2. Motivation and background. Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. AbstractThis paper describes our use of inter-word latency the delay before a student speaks a word in the course of reading a sentence to assess oral reading automatically The context of our study Jialin. . Li, Naveen Kr. Sharma. , Dan . R. K. Ports and Steven D. . Gribble . Presented By: Tejala . Thippeswamy. Agenda. Introduction and Background. The Approach. Ideal Latency Distribution. Testbed. Old Virtex-E mezzanine. New Spartan-6 mezzanine. Data path, from the . peripheral backplane . input to TLK2501 . serializers. (three old links). ~90 ns. ~90 ns. Serialization in TLK2501 at 80MHz (three old links). 1. Tae Jun Ham (Princeton Univ.). Juan Luis Aragón (Univ. of Murcia). Margaret . Martonosi. (Princeton Univ.). Limited scratchpad memory . size. Accelerator Communication Challenge. 2. Best if data arrives at accelerator before computation needs it.

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