Nsight Eclipse Plugins Edition Getting Started Guide

1. Introduction

This guide introduces Nsight Eclipse Plugins Edition and provides instructions necessary to start using this tool. Nsight Eclipse is based on Eclipse CDT project. For a detailed description of Eclipse CDT features consult the integrated help "C/C++ Development User Guide" available from inside Nsight (through Help->Help Contents menu).

1.1. About Nsight Eclipse Plugins Edition

NVIDIA® Nsight™ Eclipse Edition is a unified CPU plus GPU integrated development environment (IDE) for developing CUDA® applications on Linux and Mac OS X for the x86, POWER and ARM platforms. It is designed to help developers on all stages of the software development process. Nsight Eclipse Plugins can be installed on vanilla Eclipse 4.4 or later using the standard Help->Install New Software.. Menu. The principal features are as follows:
  • Edit, build, debug and profile CUDA-C applications
  • CUDA aware source code editor – syntax highlighting, code completion and inline help
  • Graphical user interface for debugging heterogeneous applications
  • Profiler integration – Launch visual profiler as an external application with the CUDA application built in this IDE to easily identify performance bottlenecks

For more information about Eclipse Platform, visit http://eclipse.org

Using Nsight Eclipse Edition

2.1. Installing Nsight Eclipse Edition

Nsight Eclipse Plugins archive is part of the CUDA Toolkit. Nsight Eclipse Plugins archive can be installed using the Help -> Install New Software... Menu on Eclipse 4.4 or later

2.1.1. Installing CUDA Toolkit

To install CUDA Toolkit:

  1. Visit the NVIDIA CUDA Zone download page: http://www.nvidia.com/object/cuda_get.html
  2. Select appropriate operating system. Nsight Eclipse Edition is available in Mac OS X and Linux toolkit packages.
  3. Download and install the CUDA Driver.
  4. Download and install the CUDA Toolkit.
  5. Follow instructions to configure CUDA Driver and Toolkit on your system.

2.1.2. Configure CUDA Toolkit Path

To get started, CUDA Toolkit path must be configured in Eclipse with Nsight Plugins:

  1. Open the Preferences page, Window > Preferences.
  2. Go to CUDA toolkit section.
  3. Select the CUDA toolkit path to be used by Nsight. CUDA tookits that are installed in the default location will automatically appear.
    Cuda toolkit preference page
  4. CUDA toolkit path can be also specified in the project properties page in order to use different toolkit for a project.
  5. For QNX: When QNX is selected as Target OS, a dialog will be displayed to set the QNX_HOST and QNX_TARGET environment variables if they were not already set.
    QNX Environment Variables

    QNX_HOST environment variable identifies the directory that holds the host-related components:
    QNX_HOST directory structure

    QNX_TARGET environment variable identifies the directory that holds the target-related components:
    QNX_TARGET directory structure

2.2. Nsight Eclipse Main Window

On the first run Eclipse will ask to pick a workspace location. The workspace is a folder where Nsight will store its settings, local files history and caches. An empty folder should be selected to avoid overwriting existing files.

The main Nsight window will open after the workspace location is selected. The main window is divided into the following areas:
  • Editor - displays source files that are opened for editing.
  • Project Explorer - displays project files
  • Outline - displays structure of the source file in the current editor.
  • Problems - displays errors and warnings detected by static code analysis in IDE or by a compiler during the build.
  • Console - displays make output during the build or output from the running application.

2.3. Creating a New Project

  1. From the main menu, open the new project wizard - File > New... > C/C++ Project
  2. Specify the project name and project files location.
  3. Specify the project type like executable project.
  4. Specify the CUDA toolchain from the list of toolchains.
  5. Specify the project configurations on the next wizard page.
  6. Complete the wizard. The project will be shown in the Project Explorer view and source editor will be opened.
  7. Build the project by clicking on the hammer button on the main toolbar.
Figure 1. Nsight main window after creating a new project
Nsight main window after creating a new project.

2.4. Importing CUDA Samples

The CUDA samples are an optional component of the CUDA Toolkit installation. Nsight provides a mechanism to import these samples and work with them easily:
Note: Samples that use the CUDA driver API (suffixed with "Drv") are not supported by Nsight.
  1. From the main menu, open the new project wizard - File > New... > C/C++ Project
  2. Specify the project name and project files location.
  3. Select Import CUDA Sample under Executable in the Project type tree.
  4. Select CUDA toolchain from the Toolchains option. location.
  5. On the next wizard page select project sample you want to import. Also select the target CPU architecture. Press Next...
  6. Specify the project parameters on the next wizard page.
  7. Complete the wizard. The project will be shown in the Project Explorer view and source editor will be opened.
  8. Build the project by clicking on the hammer button on the main toolbar.

cuHook Sample

cuHook sample builds both the library and the executable. cuHook sample should be imported as the "makefile" project using the following steps.
  1. From the main menu, open the new project wizard - File > New... > C/C++ Project
  2. Select project type "Makefile project" and choose "Empty Project"
  3. Specify the project name and project files location.
  4. Complete the wizard. The project will be shown in the Project Explorer view.
  5. Right click on the project - Import... > General > File System
  6. On the next wizard page, select the location of cuHook sample(Samples/7_CUDALibraries/cuHook)
  7. Select all the source files and makefile and Finish the wizard
  8. Build the project by clicking on the hammer button on the main toolbar.
  9. To run the sample, from the main menu - Run > Run Configurations... > Select the executable > Go to Environment tab > New... > enter Name=LD_PRELOAD, Value=./libcuhook.so.1 > Run will execute the sample

2.5. Configure Build Settings

To define build settings: In the C/C++ Projects view, right-click your project, and select Properties. Select C/C++ Build, Settings from the list.

Configure Build Settings

The following are the categories of Nvcc linker settings that can be configured for the selected project.
Note: All options field in the main page is not editable and it's the collection of options set in the child categories.
  • Libraries - Configure library search path(-L) and to include linker libraries(-l). When you are cross compiling for different target os, the library search path should point to the appropriate location where the target os libraries are present.
    Configure Build Settings

  • Miscellaneous - Set additional linker options and option to link with OpenGL libraries.
  • Shared Library Settings - Set option to build a shared library.
The following are the categories of Nvcc Compiler settings that can be configured for the selected project.
Note: All options field in the main page is not editable and it's the collection of options set in the child categories.
  • Dialect - Select the language standard and dialect options.
  • Preprocessor - Add the defined and undefined symbols for the preprocessor.
  • Includes - Set include paths and include files for the compiler.
  • Optimization - Set the compiler optimization level.
  • Debugging - Set the options to generate debug information.
  • Warnings - Set inhibit all warning messages.
  • CUDA - Generate code for different real architectures with the PTX for the same vitrual architectures.

2.6. Debugging CUDA Applications

Nsight must be running and at least one project must exist.
  1. In the Project Explorer view, select project you want to debug. Make sure the project executable is compiled and no error markers are shown on the project.
  2. Right click on the project and go to Debug As > NVIDIA CUDA GDB Debugger menu.
  3. You will be offered to switch perspective when you run debugger for the first time. Click "Yes". Perspective is a window layout preset specifically designed for a particular task.
  4. Application will suspend in the main function. At this point there is no GPU code running.
  5. Add a breakpoint in the device code. Resume the application.

Debugger will break when application reaches the breakpoint. You can now explore your CUDA device state, step through your GPU code or resume the application.

Figure 2. Debugging CUDA application
Debugging CUDA application.

Additional debugger options can be set in the debug configuration dialog through Run > Debug Configurations .. menu..

Figure 3. Debugging CUDA application
Debugging CUDA application.

2.7. Remote development of CUDA Applications

Nsight Eclipse Edition also supports remote development of CUDA application starting with CUDA Toolkit 6.0. The picture below shows how Nsight Eclipse Edition can be used for local as well as remote development:

One tool Nsight Eclipse for all your development needs

For remote development you do not need any NVIDIA GPU on your host system. The remote target system can be a Linux x86 or POWER system with an NVIDIA GPU or an Tegra-based ARM system. Nsight IDE and UI tools can only be hosted on x86 and POWER systems.

Nsight Eclipse Plugins supports the cross compilation mode for remote devices.

In the cross compilation mode the project resides on the host system and the cross compilation is also done on the host system. The cross compilation mode is only supported on an Ubuntu x86 host system.

To cross compile select the target cross compile architecture in CPU architecture drop down in the project properties page:

Enabling cross-compilation in Nsight Eclipse Edition

2.8. Debugging Remote CUDA Applications

Remote debugging is available starting with CUDA Toolkit 5.5. A dedicated GPU is not required to use Nsight remote debugging UI. A dedicated GPU is still required on the debug target. Only Linux targets are supported. Debug host and target may run different operating systems or have different CPU architectures. The remote machine must be accessible via SSH and CUDA Toolkit must be installed on both machines.
Note: If there is a firewall between the host and the target, it must be set up to let RSP messages through, or SSH port-forwarding must be used.
  1. Select the project and right click then go to Debug As...>NVIDIA CUDA GDB Debugger(Remote) menu item.
    Nsight run menu with Debug an application item highlighted
  2. Type the full path to a local executable or select one using the Local file... button.
    Nsight's Debug CUDA Application Wizard - Selecting executable
  3. Select a remote connection from a drop-down list or press the Add connection... button to create a new one.
  4. If you are creating a new remote connection, select the SSH Only connection type, press Next, and type the host name(or IP address) as well as the connection name and description (both are optional) and then press Finish.
    Remote connection wizard
  5. For Android devices: To configure the remote connection using Android debug bridge, select the Android debug bridge from the Remote Connection drop-down list, Android device must be connected to the host system using USB port.
    Remote connection wizard

    Press Manage button, and enter or select the path to adb utility. You need to install Android SDK platform tools to use Android debug bridge. press Detect button to find the android device available through ADB.
    Remote connection wizard


  6. Optional: Press Connect to verify the selected remote connection.
  7. Press the Next button.
  8. Type the full path to cuda-gdbserver on the remote system or select one using the Browse... button.
    Nsight's Debug CUDA Application Wizard - Specifying gdbserver/library path
  9. Click on "Add new path" or on the Browse... button to specify the path to the shared libraries the remote application depends on.
  10. Click on the Finish button to finish the new debug configuration wizard and start debugging the application.
  11. You will be offered to switch perspective when you run the debugger for the first time. Click Yes. Perspective is a window layout preset specifically designed for a particular task.

The debugger will stop at the application main routine. You can now set breakpoints, or resume the application.

Figure 4. Debugging remote CUDA application
Debugging remote CUDA application.

2.9. Profiling CUDA applications

Nsight must be running and at least one project must exist. Profiler cannot be used when debugging session is in progress.
Nsight Eclipse Edition profiling features are based on the NVIDIA Visual Profiler ( nvvp ) code. Nsight Eclipse Plugins Edition will launch the Visual Profiler as an external tool with the executable and other information from the selected project.
  1. In the Project Explorer view, select project you want to profile. Make sure the project executable is compiled and no error markers are shown on the project.
  2. Select the project and right click and go to Profile As>NVIDIA Visual Profiler menu.
    Profiling CUDA Application menu.

Nsight Eclipse will launch the Visual Profiler to specify extra profiler options with the executable information already passed from the selected project.

Figure 5. Profiling CUDA Application
Profiling CUDA Application.

2.10. Importing Nsight Eclipse Projects

The projects that are created with Nsight Eclipse Edition can be imported into the Eclipse workbench with Nsight Eclipse plugins.
  1. Open Nsight Eclipse edition and select the project that needs to be exported.
  2. Right click on the Nsight Eclipse project and go to - Export > C/C++ > C/C++ Project Settings > Next menu.
    Export C/C++ Project Settings.
  3. Select the project and settings to export.
  4. Specify the "Export to file" location.
  5. Settings will be stored in the given XML file.
  6. Go to Eclipse workbench where the project settings needs to be imported.
  7. Create a C/C++ Project from the main menu File > New > C/C++ Project
  8. Specify the project name and choose Empty project type with CUDA toolchains.
  9. Right click on the project to import the source files. Import > General > File System >(From directory) or copy the source files from the existing project.
  10. Import the project settings like include paths and symbols using the following right click menu Import > C/C++ > C/C++ Project Settings >Next...
  11. Select the location of the project settigns file and select the project and configuration on the next wizard page.
    Import C/C++ Project Settings.
  12. Complete the wizard. The project settings will be imported from the file exported from Nsight Eclipse Edition.
  13. Build the project by clicking on the hammer button on the main toolbar.

2.11. More Information

More information about the Eclipse CDT features and other topics is available in the Help contents. To access Help contents select Help->Help Contents from the Nsight main menu.

More information about CUDA, CUDA Toolkit and other tools is available on CUDA web page at http://developer.nvidia.com/cuda

Notices

Notice

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