PPT-Data Locality & ITs

Optimization Techniques Presented by Preethi Rajaram CSS 548 Introduction to Compilers Professor Carol Zander Fall 2012 Why Processor Speed increasing at a faster rate than the memory speed. ExaScale. . Challenges and Potential Solutions. Bill Dally. Chief Scientist, . NVIDIA. Bell Professor of Engineering, Stanford University. Two Key Challenges. Programmability. Writing an efficient parallel program is hard. A General Analytical Study. Yongkun. Li, . Patrick P. C. Lee. , John C. S. . Lui. , . Yinlong. Xu. The Chinese . University . of Hong . Kong. University of Science and Technology of China. . 1. SSD Storage. Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Data Locality and Fairness. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. Data locality. Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Analysis of Data Locality. Optimality of Data Locality. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. •Data Locality –Temporal: if data item needed now, it is likely to be needed again in near future –Spatial: if data item needed now, nearby data likely to be needed in near future • Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Analysis of Data Locality. Optimality of Data Locality. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. George Kurian. 1. , . Srinivas. . Devadas. 1. , Omer . Khan. 2. , . 1 . Massachusetts Institute of Technology. 2 . University of Connecticut, . Storrs. 1. The Problem. Future multicore processors will have 100s of cores. Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Data Locality and Fairness. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. Data locality. Progress to Date. Irvine. Social isolation - all ages. Low level mental health and wellbeing - young people.. Musculoskeletal issues. North Coast. Social isolation - older people. Young people’s - stress & anxiety. Practical methodology for Healthy Economies . You can do it! . No really, you can! . HERE’S . HOW. MAKE A PLAN - STRATEGIZE. MAKE A BUDGET. ASSESS YOUR CURRENT SITUATION. IDENTIFY WHAT IS WORKING. Bulk-synchronous Programming Models on. CPU Architectures. Hee-Seok. Kim. , . Izzat. El Hajj, John Stratton,. Steven . Lumetta. and . Wen-mei. . Hwu. CPU. (Intel, AMD, PowerPC). GPU. (NVIDIA, AMD, Imagination, ARM). UCI Annual Meeting. City of Hampton. May 25, 2017. David . S. Jarman. , P.E.. Transportation Project Management Supervisor. City of Virginia . Beach. Project Delivery Options Available. UCI . Member. 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. Daniel Burk. What is a Predictive Model?. A GIS based model attempting to determine fossil locality potential. 1. Start with known fossil localities. 2. Compare their characteristics to other places.