GPU Computing Using CUDA, Eclipse, and Java with JCuda

Mark H Bishop

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21 Sep 2013CPOL18 min read

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Tutorial: GPU computing with JCuda and Nsight (Eclipse)

CodeProjectMBishop_12_22_2012.zip
- CodeProjectMBishop_12_22_2012
  - JCudaFftDemo
    - bin
      - CaxpyGpu.class
      - ComplexCalcFloat.class
      - ComplexFloat.class
      - FftCpuFloat.class
      - FftGpuFloat.class
      - Main.class
      - Stopwatch.class
    - src
  - Notes

From Eclipse you make a runnable jar from

From Project Explorer > Export > Java > Runnable Jar file > Next

Set the launch configuration, pick a destination, and extract the libraries into the jar.
Click finish, acknowledge your actions with reguard to licenses, address errors, and review warnings.

To run a jar that uses native libraries, you can point to the native binary folder with the -DJava.library.path switch when you run the jar. 

Syntax java -Djava.library.path=<the exact path to the native library> -jar your.jar

For example, I have an executable jar with filespec: '/home/max/CodeProjectMBishop/javaFFT.jar'

It uses native libraries located in the folder: '/home/max/Cuda/JCuda-All-0.5.0-bin-linux-x86_32 -jar'

I run:


java -Djava.library.path=/home/max/Cuda/JCuda-All-0.5.0-bin-linux-x86_32 -jar '/home/max/CodeProjectMBishop/javaFFT.jar'

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License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Mark H Bishop

Founder PEI Watershed Alliance, Inc.

United States

I am an analytical chemist and an educator. I program primarily to perform matrix computations for regression analysis, process signals, acquire data from sensors, and to control devices.

I participate in many open source development communities and Linux user forums. I do contract work for an environmental analytical laboratory, where I am primarily focused on LIMS programming and network administration.

I am a member of several community-interest groups such as the Prince Edward Island Watershed Alliance, the Lot 11 and Area Watershed Management Group, and the Petersham Historic Commission.

GPU Computing Using CUDA, Eclipse, and Java with JCuda

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