PPT-1 Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web

Saehoon Kim Yuxiong He Seungwon Hwang Sameh Elnikety Seungjin Choi Web Search Engine Requirement 2 Queries High quality Low latency This talk focuses on how to achieve low latency without compromising the quality. Static Branch Prediction. Code around delayed branch. To reorder code around branches, need to predict branch statically when compile . Simplest scheme is to predict a branch as taken. Average misprediction = untaken branch frequency = 34% SPEC. K. . Qureshi. ECE, Georgia Tech. Gabriel H. Loh, AMD. Fundamental Latency Trade-offs. in Architecting DRAM Caches. MICRO 2012. 3-D Memory Stacking. 3-D Stacked memory can provide large caches at high . Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. Debajit. B. h. attacharya. Ali . JavadiAbhari. ELE 475 Final Project. 9. th. May, 2012. Motivation. Branch Prediction. Simulation Setup & Testing Methodology. Dynamic Branch Prediction. Single Bit Saturating Counter. GIS-Based Evaluation of the Effectiveness of Selective Law Enforcement. Dr. Andrew Graettinger, . Jenna Simandl. Dr. Randy Smith, Tim Barnett. 1. Introduction. According to the National Highway Traffic Safety Administration, in 2012:. Basic idea of runaway evolution . due to Ronald Fisher . (whom we will later meet as the inventor of the linear classifier). Application to human intelligence mostly due to . Geoffrey Miller . Geoffrey Miller . 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. Dainee Gibson. Biology 440: Population Genetics. T Gene. Part of T-Box . Complex. Important . for anterior-posterior development. Mutations . in this gene influence tail/taillessness. Brachyury. in the T Gene. K. . Qureshi. ECE, Georgia Tech. Gabriel H. Loh, AMD. Fundamental Latency Trade-offs. in Architecting DRAM Caches. MICRO 2012. 3-D Memory Stacking. 3-D Stacked memory can provide large caches at high . goals for taxonomy session. survey sources of latency. categorise solutions. quantify benefits. consider deployment aspects. short-term & long-term applicability. common reference framework for discussions. Need to get Processing closer to storage. Need to get tasks close to data. Rack locality: . Hadoop. Kill task and if a local slot is available: Quincy. Why?. Network is bad: gives horrible performance. Kaushik . Nandan. 1. Contents:. Introduction. Related . Work. Segmentation as Selective . Search. Object Recognition . System. Evaluation. Conclusions. References. 2. 1. Introduction. Object recognition: determining . Kaushik . Nandan. 1. Contents:. Introduction. Related . Work. Segmentation as Selective . Search. Object Recognition . System. Evaluation. Conclusions. References. 2. 1. Introduction. Object recognition: determining . 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.