This map shows the layout of Antigo Middle School, including locations for student pick-up areas, parking lots, entrances, sidewalks, and other features. It is intended as a reference for site assessment purposes and contains a disclaimer that it is not a legally recorded map or intended for use as a survey.
Savremena fotografska praksa o Andreasu Gurskom (Andreas Gursky).
Biografija, opus, formati koje upotrebjava, digitalna manipulacija, pozicija na trzistu, ekskluzivnost, ... Rad pisan tokom studija na Akademiji Umetnosti.
Savremena fotografska praksa o Andreasu Gurskom (Andreas Gursky).
Biografija, opus, formati koje upotrebjava, digitalna manipulacija, pozicija na trzistu, ekskluzivnost, ... Rad pisan tokom studija na Akademiji Umetnosti.
Conference presentation, "Making the Invisible Visible: towards a Community of Practice in Indicators of Sustainability and Values", Brighton, December 2010
Implementing Generate-Test-and-Aggregate Algorithms on HadoopYu Liu
Generate-Test-and-Aggregate is a class of algorithms that can automatically derive efficient MapReduce programs.
MapReduce is a useful and popular programming model for large-scale parallel processing. However, for many complex problems, it is usually not easy to develop the efficient parallel algorithms that match MapReduce paradigm well.
The generator-based parallelization approach has been developed and introduced to simplify parallel programming by its automatic generating and optimizing mechanism. Efficient parallel algorithms can be generated from users' naive but correct programs by making use of generators which exploit knowledge of optimization theorems in the field of skeletal parallel programming. The obtained efficient-parallel algorithms are in the form that very fit for implementation with MapReduce.
By such an approach, a large class of generate-and-test-like computations can be efficiently programmed and computed over MapReduce. Thus a novel programming interface and framework can be built on top of MapReduce, and that would be helpful for resolving the difficulties on programmability and efficiency. In this paper we will introduce a framework that has such a novel programming interface for MapReduce. With this framework, users can just concentrate on making naive correct programs. We will show that a lot of so-called generate-and-test-like computations can be easily and efficiently implemented by this framework over MapReduce.
Conference presentation, "Making the Invisible Visible: towards a Community of Practice in Indicators of Sustainability and Values", Brighton, December 2010
Implementing Generate-Test-and-Aggregate Algorithms on HadoopYu Liu
Generate-Test-and-Aggregate is a class of algorithms that can automatically derive efficient MapReduce programs.
MapReduce is a useful and popular programming model for large-scale parallel processing. However, for many complex problems, it is usually not easy to develop the efficient parallel algorithms that match MapReduce paradigm well.
The generator-based parallelization approach has been developed and introduced to simplify parallel programming by its automatic generating and optimizing mechanism. Efficient parallel algorithms can be generated from users' naive but correct programs by making use of generators which exploit knowledge of optimization theorems in the field of skeletal parallel programming. The obtained efficient-parallel algorithms are in the form that very fit for implementation with MapReduce.
By such an approach, a large class of generate-and-test-like computations can be efficiently programmed and computed over MapReduce. Thus a novel programming interface and framework can be built on top of MapReduce, and that would be helpful for resolving the difficulties on programmability and efficiency. In this paper we will introduce a framework that has such a novel programming interface for MapReduce. With this framework, users can just concentrate on making naive correct programs. We will show that a lot of so-called generate-and-test-like computations can be easily and efficiently implemented by this framework over MapReduce.
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Student Pick-up
7TH AVE
8TH AVE
CLERMONTAVE
Student Pick-up
BusBusBus
MORSEST
EDISONST
Antigo Middle School
±0 50 100 150 20025
Feet
Map 3
Site Assessment
Antigo, Wisconsin
This map is neither a legally recorded map nor a survey
and is not intended to be used as one. This drawing is
a compilation of records, information and data used for
reference purposes only. NCWRPC is not responsible for
any inaccuracies herein contained.
Source: WI DNR, NCWRPC, Langlade Co, 2005 Airphoto
Chain Link Fence
210 McClellan St., Suite 210, Wausau, WI 54403
715-849-5510 - staff@ncwrpc.org - www.ncwrpc.org
North Central
Wisconsin Regional
Planning Commission
Prepared By:
NCWRPC
Major Entrance!(E
Parking!j
School Sign!(S
Bike Racks!G
Sidewalk Ramps!(
Sidewalks
School Building Footprint
Play Area (Paved)
Crosswalks
