PPT-Locality Planning

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. 16 FOR THE LOCALITY PAY AREA OF REST OF US TOTAL INCREASE 1 EFFECTIVE JANUARY 2014 Hourly Basic B Rates by Grade and Step Hourly Overtime O Rates by Grade and Step Grade BO Step 1 Step 2 Step 3 Step 4 Step 5 Step 6 Step 7 Step 8 Step 9 Step 10 1 B 9 22 FOR THE LOCALITY PAY AREA OF WASHINGTONBALTIMORENORTHERN VIRGINIA DCMDVAWVPA TOTAL INCREASE 1 EFFECTIVE JANUARY 2014 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 22336 23083 23825 80 FOR THE LOCALITY PAY AREA OF BOSTONWORCESTERMANCHESTER MANHRIME TOTAL INCREASE 1 EFFECTIVE JANUARY 2014 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 22440 23190 23937 24679 2542 68 FOR THE LOCALITY PAY AREA OF CLEVELANDAKRONELYRIA OH TOTAL INCREASE 1 EFFECTIVE JANUARY 2014 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 21340 22053 22763 23469 24179 24595 2 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 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. Yunchao. Gong. UNC Chapel Hill. yunchao@cs.unc.edu. The problem. Large scale image search:. We have a candidate image. Want to search a . large database . to find similar images. Search the . internet. 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. 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. 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 . Arran 20. th. June 2016. Agenda. 6.30 – 6.45 . Introduction . and Background to Locality Partnerships .  . 6.45 – 7.15 . Data . – Information we have on Localities.  . 7.15 – 7.30 . 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. ). 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.