Shopping on line can be easy, simple and save you lots of money. It can also take a lot of your time, frustrate you, and result in unwanted purchases. Now the same can be said for regular high street shopping, but with the vast opportunity presented by the Internet it will pay you to spend a few minutes reading this and understanding how to better optimize your Granularity shopping experience:

1. Compare - without doubt the biggest advantage that the Granularity offers shoppers today is the ability to compare thousands of Granularity at a time. This is a great thing, but not necessarily all the time! Too much can be daunting at times so take advantage of the great comparison sites and where possible let them do the hard work for you.

2. Research - if it has been said it will be on the internet. Ignorance is no longer a justifiable reason for buying the wrong thing. Take the time to research in detail everything that you could possible want to know about

3. Testimonials - don't know anybody that has bought a Granularity? Wrong! If the Granularity is good the internet will let you know. Use the Internet as a friend and get testimonials before you buy.

4. Questions - Got a question about Granularity then search the Forums, FAQ's, Blogs etc. Don't be afraid to ask .....

5. Reputation - Never heard of the company selling Granularity? Don't worry, no reason why you should know every company in the world, but you know someone that does! Use the internet to find out what people are saying about Granularity and build up a picture of their reputation for sales, returns, customer service, delivery etc.

6. Returns - still worried that even after all of the above your Granularity wont be what you want? Check out the returns policy. There is so much competition now that someone, somewhere is bound to offer the terms that you are comfortable with.

7. Feedback - happy with your Granularity then let people know, after all you are depending on others people input in your buying decision, so why not give a little back.

8. Security - check for the yellow padlock on the Granularity site before you buy, and the s after http:/ /i.e. https:// = a secure site

9. Contact - got a question about Granularity, or want to leave a comment then check out the sites contact page. Reputable companies have them and respond.

10. Payment - ready to pay for your Granularity, then use your credit card or PayPal! Be aware of companies that don't accept them, there may be genuine reasons but given the huge amount of choice you have when buying online there is no reason at all not to buy via credit card or PayPal.

See also: grain and film grain (disambiguation)

Granularity is a measure of the size of the components, or descriptions of components, that make up a system. Granularity is the relative size, scale, level of detail or depth of penetration that characterizes an object or activity. It is the "extent to which a larger entity is subdivided. For example, a yard broken into inches has finer granularity than a yard broken into feet."http://www.ncsa.uiuc.edu/UserInfo/Resources/Hardware/IBMp690/IBM/usr/share/man/info/en_US/a_doc_lib/aixuser/glossary/G.htm

Systems of, or description in terms of, large components are called coarse-grained, and systems of small components are called fine-grained; here coarse and fine are descriptions of the granularity of the system, or the granularity of description of the system.

An example of increasingly fine granularity: a list of nations in the United Nations, a list of all states/provinces in those nations, a list of all counties in those states, etc.

The terms "fine" and "coarse" are used consistently across fields; but the term "granularity" itself is not. For example, in investing, "more granularity" refers to more positions of smaller size, while photographic film that is "more granular" has fewer and larger chemical "grains".

In physics A fine-grained description of a system is a detailed, low-level model of it. A coarse-grained description is a model where some of this fine detail has been smoothed over or averaged out. The replacement of a fine-grained description with a lower-resolution coarse-grained model is called coarse graining. (See for example the view of the second law of thermodynamics in the article Maximum entropy thermodynamics)

In molecular dynamics Molecular dynamics#Coarse-graining_and_reduced_representations consists in replacing an atomisticdescription of a biological molecule with a lower-resolution coarse-grained model that averages or smooths away fine details. Coarse-grained models have been developed for investigating the longer time- and length-scale dynamics that are critical to many biological processes, such as lipid membranes and proteins.

In computing In parallel computing, granularity means the amount of computation in relation to communication, i.e., the ratio of computation to the amount of communication.

Fine-grained, or "tightly coupled", parallelism means individual tasks are relatively small in terms of code size and execution time. The data are transferred among processors frequently in amounts of one or a few memory words. Coarse-grained, or "loosely coupled", is the opposite: data are communicated infrequently, after larger amounts of computation.

The smaller the granularity, the greater the potential for parallelism and hence speed-up, but the greater the overheads of synchronization and communication. (The last two paragraphs are based on FOLDOC.)

In Reconfigurable Computing and Supercomputing In Reconfigurable Computing and in Supercomputing these terms refer to the data path width. The use of about one bit wide processing elements like the configurable logic blocks (CLBs) in an FPGA is called Fine-grained computing or Fine-grained reconfigurability, whereas using wide data paths, such as, for instance 32 bits wide resources, like microprocessor CPUs or data-stream-driven data path units (DPUs) like in a reconfigurable datapath array (rDPA) is called Coarse-grained computing Coarse-grained reconfigurability.

Data Granularity The granularity of data refers to the fineness with which data fields are sub-divided. For example, a postal address can be recorded, with low granularity, as one field:

address = 200 2nd Ave. South #358, St. Petersburg, FL 33701-4313 USA

or with high granularity, as many fields:

street address = 200 2nd Ave. South #358

city = St. Petersburg

postal code = FL 33701-4313

country = USA

or even higher granularity:

street number = 200

street = 2nd Ave. South #358

city = St. Petersburg

postal code state = FL

postal-code-first-part = 33701

postal-code-second-part = 4313

country = USA

Higher granularity has overheads for data input and storage, but offers benefits in flexibility of data processing.

In credit portfolio risk management In credit portfolio risk modeling, granularity refers to the number of the exposures in the portfolio. The higher the granularity, the more positions are in a credit portfolio, providing a higher degree of size diversification, which in turn reduces concentration risk. This is colloquially known as "not putting all your eggs in one basket".

In photographic film In photography, granularity is a measure of film grain. It is measured using a particular standard procedure but in general a largernumber means the grains of silver are larger and there are fewer grains in a given area.

In business The concept of granularity is starting to be used also in domains other than physics. For example, in business it has been written about in the book, The Granularity of Growth: Making choices that drive enduring company performance. Its authors (Viguerie, Smit, and Baghai) say that there’s a problem with the broad-brush way that many companies describe their business opportunities. They argue that real opportunities for company growth can emerge only from a much finer understanding of market segments, their needs, and the capabilities required to serve them well than is typically done. According to the authors, to uncover these small “pockets of opportunity,” executives need to dig down to a deeper level of their organization, which in large companies introduces the challenge of making broad choices at a refined “granular level” without losing focus.

General examples At a September 2006 White House press briefing, presidential press secretary Tony Snow responded to a question about an asserted link that had existed between Saddam Hussein and al Qaeda terrorist Abu Musab al-Zarqawi. Snow said that Bush indicated there was "no operational relationship" between Zarqawi and Saddam but added, "we just don’t have that kind of granularity in terms of the relationship. And, therefore, we’re not going to outrun the facts."http://thinkprogress.org/2006/09/14/snow-hussein-zarqawi/

References -->}

See also

• Granular computing
• Multiple granularity locking
• Particle size (geology)

See also: grain and film grain (disambiguation)

Granularity is a measure of the size of the components, or descriptions of components, that make up a system. Granularity is the relative size, scale, level of detail or depth of penetration that characterizes an object or activity. It is the "extent to which a larger entity is subdivided. For example, a yard broken into inches has finer granularity than a yard broken into feet."http://www.ncsa.uiuc.edu/UserInfo/Resources/Hardware/IBMp690/IBM/usr/share/man/info/en_US/a_doc_lib/aixuser/glossary/G.htm

Systems of, or description in terms of, large components are called coarse-grained, and systems of small components are called fine-grained; here coarse and fine are descriptions of the granularity of the system, or the granularity of description of the system.

An example of increasingly fine granularity: a list of nations in the United Nations, a list of all states/provinces in those nations, a list of all counties in those states, etc.

The terms "fine" and "coarse" are used consistently across fields; but the term "granularity" itself is not. For example, in investing, "more granularity" refers to more positions of smaller size, while photographic film that is "more granular" has fewer and larger chemical "grains".

In physics A fine-grained description of a system is a detailed, low-level model of it. A coarse-grained description is a model where some of this fine detail has been smoothed over or averaged out. The replacement of a fine-grained description with a lower-resolution coarse-grained model is called coarse graining. (See for example the view of the second law of thermodynamics in the article Maximum entropy thermodynamics)

In molecular dynamics Molecular dynamics#Coarse-graining_and_reduced_representations consists in replacing an atomisticdescription of a biological molecule with a lower-resolution coarse-grained model that averages or smooths away fine details. Coarse-grained models have been developed for investigating the longer time- and length-scale dynamics that are critical to many biological processes, such as lipid membranes and proteins.

In computing In parallel computing, granularity means the amount of computation in relation to communication, i.e., the ratio of computation to the amount of communication.

Fine-grained, or "tightly coupled", parallelism means individual tasks are relatively small in terms of code size and execution time. The data are transferred among processors frequently in amounts of one or a few memory words. Coarse-grained, or "loosely coupled", is the opposite: data are communicated infrequently, after larger amounts of computation.

The smaller the granularity, the greater the potential for parallelism and hence speed-up, but the greater the overheads of synchronization and communication. (The last two paragraphs are based on FOLDOC.)

In Reconfigurable Computing and Supercomputing In Reconfigurable Computing and in Supercomputing these terms refer to the data path width. The use of about one bit wide processing elements like the configurable logic blocks (CLBs) in an FPGA is called Fine-grained computing or Fine-grained reconfigurability, whereas using wide data paths, such as, for instance 32 bits wide resources, like microprocessor CPUs or data-stream-driven data path units (DPUs) like in a reconfigurable datapath array (rDPA) is called Coarse-grained computing Coarse-grained reconfigurability.

Data Granularity The granularity of data refers to the fineness with which data fields are sub-divided. For example, a postal address can be recorded, with low granularity, as one field:

address = 200 2nd Ave. South #358, St. Petersburg, FL 33701-4313 USA

or with high granularity, as many fields:

street address = 200 2nd Ave. South #358

city = St. Petersburg

postal code = FL 33701-4313

country = USA

or even higher granularity:

street number = 200

street = 2nd Ave. South #358

city = St. Petersburg

postal code state = FL

postal-code-first-part = 33701

postal-code-second-part = 4313

country = USA

Higher granularity has overheads for data input and storage, but offers benefits in flexibility of data processing.

In credit portfolio risk management In credit portfolio risk modeling, granularity refers to the number of the exposures in the portfolio. The higher the granularity, the more positions are in a credit portfolio, providing a higher degree of size diversification, which in turn reduces concentration risk. This is colloquially known as "not putting all your eggs in one basket".

In photographic film In photography, granularity is a measure of film grain. It is measured using a particular standard procedure but in general a largernumber means the grains of silver are larger and there are fewer grains in a given area.

In business The concept of granularity is starting to be used also in domains other than physics. For example, in business it has been written about in the book, The Granularity of Growth: Making choices that drive enduring company performance. Its authors (Viguerie, Smit, and Baghai) say that there’s a problem with the broad-brush way that many companies describe their business opportunities. They argue that real opportunities for company growth can emerge only from a much finer understanding of market segments, their needs, and the capabilities required to serve them well than is typically done. According to the authors, to uncover these small “pockets of opportunity,” executives need to dig down to a deeper level of their organization, which in large companies introduces the challenge of making broad choices at a refined “granular level” without losing focus.

General examples At a September 2006 White House press briefing, presidential press secretary Tony Snow responded to a question about an asserted link that had existed between Saddam Hussein and al Qaeda terrorist Abu Musab al-Zarqawi. Snow said that Bush indicated there was "no operational relationship" between Zarqawi and Saddam but added, "we just don’t have that kind of granularity in terms of the relationship. And, therefore, we’re not going to outrun the facts."http://thinkprogress.org/2006/09/14/snow-hussein-zarqawi/

References -->}

See also

• Granular computing
• Multiple granularity locking
• Particle size (geology)

granularity from FOLDOC
granularity < jargon, parallel > The size of the units of code under consideration in some context. The term generally refers to the level of detail at which code is considered, e ...

Granularity - Wikipedia, the free encyclopedia
Granularity is a measure of the size of the components, or descriptions of components, that make up a system. Granularity is the relative size, scale, level of detail or depth of ...

Granularity : Technologies
Granularity resource site for XML technologies involving J2EE, JRun, and ColdFusion. Examples of using XML within ColdFusion.

Granularity : Contact Us
Interested in technologies produced by Granularity Information Architecture, Inc.? Please fill out the form below to have one of our Technology Architects contact you, or use the ...

CETIS-granularity
granularity Equivalences: Used by: Contributed by: The size and level of complexity of a resource. The level of granularity of a resource is generally refered to as a marker of ...

Granularity
1 Granularity This is the fifth of my Engineering Notebook columns for The C++ Report. The articles that appear in this column focus on the use of C++ and OOD, and address issues ...

Granularity
uk.ac.ucl.che.esf.fish.units.vle Class Granularity java.lang.Object | +--uk.ac.ucl.che.esf.fish.units.vle.Granularity

granularity - Wiktionary
Definition from Wiktionary, a free dictionary

Amazon.co.uk: The Granularity of Growth: Making Choices That Drive ...
Amazon.co.uk: The Granularity of Growth: Making Choices That Drive Enduring Company Performance: Patrick Viguerie, Sven Smit, Mehrdad Baghai: Books ...

granularity
The Free Online Dictionary of Computing (http://foldoc.doc.ic.ac.uk/) is edited by Denis Howe < dbh@doc.ic.ac.uk >. Previous: grammatical inference Next: Grapes