Hp Scalable Visualization Array Software Instrukcja Użytkownika Pobierz pdf (Strona 31)

5 Application Examples

This chapter describes the steps to start several representative applications that vary in their structure and

requirements:

• A workstation application that is launched remotely to use only a single node in the SVA. See “Running

an Existing Application on a Single SVA Workstation” (pg. 31).

• An application that uses render and display capabilities of the SVA (for example, ParaView). See

“Running Render and Display Applications Using ParaView” (pg. 35).

• A workstation application that uses Chromium software and DMX to display on multiple tiles using the

SVA. See “Running a Workstation Application Using a Multi-Tile Display” (pg. 38).

Table 5-1 summarizes the differences among three application scenarios, detailed in the following sections.

Table 5-1 Comparison Summary of Application Scenarios

BenefitData AccessKey SVA TaskApplication Type

Scenario

Remote access to

high-end workstations

managed as a shared,

cluster resource.

Large dataset from

computations using a

high-speed file system.

Access cluster

workstations from offices

over standard ethernet

network using HP RGS.

Workstation applicationRemote access using HP

RGS

Workstation application

can display its output on

a multi-tile display via

installed open source

facilities.

Large dataset from

computations using a

high-speed file system.

Allocate appropriate

nodes, invoke and

initialize the run-time

environment,

applications, and support

facilities.

Workstation applicationResolution

scaling/multi-tile

Cluster application can

scale up to display on

walls and immersive

displays using available

libraries, for example,

CAVELib™ or VR Juggler.

Large dataset loaded in

parallel by application

components via a

high-speed parallel file

system.

Allocate appropriate

nodes, initialize the

run-time environment,

and invoke distributed

application components.

Multi-display, cluster

application

Parallel application can

scale up to visualize very

large datasets.

Large dataset loaded in

parallel by application

components using a

high-speed parallel file

system.

Allocate appropriate

render and display nodes

and invoke and initialize

the run-time environment

and applications.

Parallel, distributed data,

cluster application

Data scaling and

compositing

Running an Existing Application on a Single SVA Workstation

This section describes the main steps and considerations to get an application that already runs on a single

workstation to run on a single node within an SVA. Control takes place using a workstation remote to the

cluster.

Assumptions and Goal

This example assumes you have a visualization application that currently runs on a single workstation. It

also assumes that you have not specifically modified it to take advantage of the parallel features of a cluster.

The goal of this example is to make the application run on the SVA while maintaining control remotely from

a desktop that is outside the cluster. This desktop is remote relative to the SVA although you may consider

it your local workstation. In this chapter, your local workstation is meant to designate a machine that is

remote to the SVA.

Working in this way lets you take advantage of the more powerful features of the cluster. These include more

powerful graphics cards, or specific software libraries such as OpenGL extensions. It is also helpful and

convenient for testing and debugging your application. It also facilitates collaborative work.

In addition to having your cluster set up with the HP XC and SVA software, you also need to have HP RGS

installed and configured on those nodes within the cluster that you intend to access remotely. You also must

have the RGS client software (the RGS Receiver) installed and configured on your local desktop where you

intend to route the output from your application.

Running an Existing Application on a Single SVA Workstation 31

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