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. 16 FOR THE LOCALITY PAY AREA OF REST OF US TOTAL INCREASE 1 EFFECTIVE JANUARY 2015 Annual Rates by Grade and Step Grade Step 1 Step 2 Step 3 Step 4 Step 5 Step 6 Step 7 Step 8 Step 9 Step 10 1 20733 21426 22115 22801 23491 23895 24576 25264 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. Sergey Yekhanin. Microsoft Research. Data storage. Store data reliably. Keep it readily available for users. Data storage: Replication. Store data reliably. Keep it readily available for users. Very large overhead. 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. Lecture 6: Locality Sensitive Hashing (LSH). Nearest Neighbor . Given a set P of n points in R. d. Nearest Neighbor . Want to build a data structure to answer nearest neighbor queries. Voronoi. Diagram. 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. Hao Wei. 1. , . Jeffrey Xu Yu. 1. , Can L. u. 1. , . Xuemin. Lin. 2. . 1 . The . Chinese University of Hong Kong, Hong Kong. 2 . The . University of New South Wales. , . Sydney, Australia. Graph in Big Data . Scottish Government Guidance. . key points. Localities to be the engine room bringing together service users, carers and health and care professionals . key point 1. Forums created to bring everyone together to have an active role in service design and improvement. 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). Madhu Sudan. Harvard. April 9, 2016. Skoltech: Locality in Coding Theory. 1. Outline of this Part. Three ideas in Testing:. Tensor Products. Composition/Recursion. Symmetry (esp. affine-invariance. ). 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.