Segment and profiling examples

What is a segment profile? A segment profile is a detailed description of the market segment across a range of factors and measures. It is designed to provide the organization with a good understanding of consumers within each segment for comparison and strategy purposes.

Segment and profiling examples

Modify Your Application For Profiling The Visual Profiler does not require any application changes; however, by making some simple modifications and additions, you can greatly increase its usability and effectiveness.

Section Preparing An Application For Profiling describes how you can focus your profiling efforts and add extra annotations to your application that will greatly improve your profiling experience.

The first step in using the Visual Profiler to profile your application is to create a new profiling session. A session contains the settings, data, and results associated with your application.

Segment and profiling examples

The Sessions section gives more information on working with sessions. You can create a new session by selecting the Profile An Application link on the Welcome page, or by selecting New Session from the File menu.

In the Create New Session dialog enter the executable for your application. Optionally, you can also specify the working directory, arguments, multi-process profiling option and environment. The muti-process profiling options are: Profile child processes - If selected, profile all processes launched by the specified application.

Profile all processes - If selected, profile every CUDA process launched on the same system by the same user who launched nvprof. In this mode the Visual Profiler will launch nvprof and user needs to run his application in another terminal outside the Visual Profiler. User can exit this mode by pressing "Cancel" button on progress dialog in Visual Profiler to load the profile data Profile current process only - If selected, only profile specified application.

Press Next to choose some additional profiling options. Start execution with profiling enabled - If selected profile data is collected from the start of application execution. If not selected profile data is not collected until cudaProfilerStart is called in the application.

See Focused Profiling for more information about cudaProfilerStart. Enable concurrent kernel profiling - This option should be selected for an application that uses CUDA streams to launch kernels that can execute concurrently.

If the application uses only a single stream and therefore cannot have concurrent kernel executiondeselecting this option may decrease profiling overhead. Enable power, clock, and thermal profiling - If selected, power, clock, and thermal conditions on the GPUs will be sampled and displayed on the timeline.

Collection of this data is not supported on all GPUs.

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See the description of the Device timeline in Timeline View for more information. Enable unified memory profiling - If selected for the GPU that supports Unified Memory, the Unified Memory related memory traffic to and from each GPU is collected on your system and displayed on timeline.

Run guided analysis - If selected, the guided analysis is run immediately after the creation of a new session. Uncheck this option to disable this behavior.

Collection of this data is only supported on Linux and PGI This currently includes the Pthread API, mutexes and condition variables. For performance reasons, only those API calls that influence concurrent execution are recorded and collection of this data is not supported on Windows.

See the description of the thread timeline in Timeline View for more information. Load data for time range - If selected the start and end time stamps for the range of data to be loaded can be specified.

This option is useful to select a subset of a large data. Enable timelines in the session - By default all timelines are enabled. If a timeline is un-checked, the data associated with that timeline will not be loaded and it will not be displayed.

DNA fingerprinting | Definition, Examples, & Facts |

If some timelines are disabled by un-checking the option the analyses results which use this timeline data will be incorrect. Analyzing Your Application If the Don't run guided analysis option was not selected when you created your session, the Visual Profiler will immediately run your application to collect the data needed for the first stage of guided analysis.

As described in the Analysis View section, you can use the guided analysis system to get recommendations on performance limiting behavior in your application.

Exploring the Timeline In addition to the guided analysis results, you will see a timeline for your application showing the CPU and GPU activity that occurred as your application executed. Read Timeline View and Properties View to learn how to explore the profiling information that is available in the timeline.

Navigating the Timeline describes how you can zoom and scroll the timeline to focus on specific areas of your application. Looking at the Details In addition to the results provided in the Analysis Viewyou can also look at the specific metric and event values collected as part of the analysis.

You can collect specific metric and event values that reveal how the kernels in your application are behaving.Examples of a Segment Profile In this example we will provide a profile for two different market segments, using the range of factors listed in the discussion of segment profiles, for two market segments that could be developed for a chain of fitness centers.

Customer Segmentation vs. Customer Profiling Example- Customer segmentation is the practice of categorizing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, . Customer segmentation and profiling Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests, spending habits, and so on.

How to profile your customers - case study examples 12 5. Customer profiling is an art form 16 Key takeaways White paper The art of customer profiling The art of customer profiling | Page 3 1.

The importance of understanding Segment your customer groups so you can target your best customers or the customers you feel. DNA fingerprinting, also called DNA typing, DNA profiling, genetic fingerprinting, genotyping, or identity testing, in genetics, method of isolating and identifying variable elements within the base-pair sequence of DNA (deoxyribonucleic acid).

The technique was developed in by British geneticist Alec Jeffreys, after he noticed that certain sequences of highly variable DNA (known as. Advances in immuno-oncology promise to revolutionize cancer treatment. However, many patients do not respond to immunotherapy.

Immune profiling promises to identify biomarkers that predict response to immunotherapy and to help monitor its progress.

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