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G2CPU GPU and CPU HPC Toolkit (System) by Natan Biesmans - Toolkit for LabVIEW Download

G2CPU GPU and CPU high performance computing toolkit

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Version1.4.1.11
ReleasedJun 25, 2024
Publisher Natan Biesmans
License G2CPU License Agreement
LabVIEW VersionLabVIEW x64>=0
Operating System Windows x64
Project links Homepage   Discussion

Description

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G2CPU GPU and CPU high performance computing toolkit

G2CPU is a general high performance computing library for LabVIEW based on ArrayFire.
Through the same code you can dynamically choose where the computational task is executed with absolutely no hassle. Code can be run on standard CPU's, Nvidia CUDA devices and OpenCL compatible devices.

You have access to general arithmetic, array manipulation, signal processing, vector algorithms, machine vision and many more with even more to come.

Supported Technologies
CPU
When running code on you CPU the computational task is divided over multiple cores. Fully utilizing the CPU without the need for manual thread control.

CUDA
Maximize your computational power on Nvidia GPU's by using Nvidia's CUDA technology.

OpenCL
Throug OpenCL you can run code on most commercial GPU's from all the big vendors like Intel, AMD and Nvidia. You can even run your code on the integrated graphics card on your CPU. (if available)

Intel OneAPI
The Intel OneAPI is provides its own unified acces to hardware which ranges from CPU's, GPU's to even accelerators and FPGA's. Make sure to download the latest version before using this backend.

Release Notes

1.4.1.11 (Jun 25, 2024)

New features
- Full LabVIEW RT Support
- RT System configurator
- Nvidia CUDA 12.2
- ArrayFire
- New DMA method for increased LabVIEW to GPU speed.
- Decoupled libraries for faster loading times in development environment

Bug Fixes:
- FFT's required inputs set
- Update of of FIR and IR datatype passthrough so it reflects the input array
- Improved stability in LabVIEW analog indexing functions
- Basic maths of a scalar of different type to an array no longer causes an internal error
- Typecast is now visible in the function pallete


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