PPT-Prediction-based Prefetching

to Support VCRlike Operations in Gossipbased P2P VoD Systems Tianyin Xu Weiwei Wang Baoliu Ye Wenzhong Li Sanglu Lu Yang Gao Nanjing University Dislab NJU CS. Assumptions on noise in linear regression allow us to estimate the prediction variance due to the noise at any point.. Prediction variance is usually large when you are far from a data point.. We distinguish between interpolation, when we are in the convex hull of the data points, and extrapolation where we are outside.. Winston P. Nagan . With the assistance of Megan E. Weeren . April 10, 2015. Anticipation will invariably entail complexity in the context of the individual self systems functioning in the social process and interacting in social relations.. 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. Tomofumi Yuki . . INRIA . Rennes. Antoine . Morvan. . . ENS . Cachan. Bretagne. Steven . Derrien. . University of Rennes 1. Memory Optimizations. Memory Wall. Yongin. Kwon, . Sangmin. Lee, . Hayoon. Yi, . Donghyun. Kwon, . Seungjun. Yang, . Byung. -. Gon. Chun,. Ling Huang, . Petros. . Maniatis. , . Mayur. . Naik. , . Yunheung. . Paek. USENIX ATC’13. Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. Enhancement . for Accurate Stream Prefetching. Gang Liu. 1. , . Zhuo. Huang. 1. , . Jih. -Kwon Peir. 1. , . Xudong. Shi. 2. , Lu Peng. 3. 1. University of Florida . 2. Google Inc. 3. Louisiana . State . Adwait Jog. , Onur Kayiran, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravi Iyer, Chita Das . Multi-threading. Caching. Prefetching . Main Memory. . Improve. . Replacement . Policies. Parallelize your code!. Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. Ankit Sethia. 1. , Ganesh Dasika. 2. , . Mehrzad. Samadi. 1. ,. Scott Mahlke. 1. 1-University of Michigan. 2-ARM R&D Austin. 1. Introduction. 2. High Throughput – 1 . TeraFlop. . High Energy Efficiency. Matthew S. Gerber, Ph.D.. Assistant Professor. Department of Systems and Information Engineering. University of Virginia. IACA Presentations on Social Media. The Modern Analyst. and Social Media (Woodward). . Smruti. R. . Sarangi. Contents. Motivation for Prefetching. Simple Schemes. Recent Work. Proactive Instruction Fetching. Return Address Stack Directed Prefetching. Pentium 4 Trace Cache. Daniel P. Eleuterio, . Office of Naval Research. Jessie Carman, NOAA Office of Ocean and Atmosphere Research. Fred . Toepfer. , NOAA National Weather Service. Dave . McCarren. , Naval Meteorology and Oceanography Command. Results and Awards. Seth . Pugsley. Thanks!. Big thanks to Hyesoon Kim and the Program Committee. Babak. . Falsafi. Mike . Ferdman. . Aamer. Jaleel. Daniel Jiménez Calvin Lin . Moin. Qureshi.