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CuLab - 
GPU Toolkit for LabVIEW

CuLab is a very intuitive and simple to use toolkit for LabVIEW designed to accelerate computationally intensive tasks on Nvidia GPUs.

The purpose of CuLab is to provide extensive API to accelerate mathematical operations, BLAS (Basic Linear Algebra Subroutine) functions and common signal processing functions (FFT/IFFT) on GPUs.

The main idea of CuLab is to provide simple mechanisms to accelerate any processing intensive code developed in LabVIEW on GPUs.
 

FEATURES & FUNCTIONALITY

Easily get up to 100x ​​speed up on computationally intensive tasks in LabVIEW with GPU

GPU vs CPU SpeedUp Chart - CuLab : GPU Toolki for LabVIEW

FEATURE HIGHLIGHTS

CuLab is designed to simplify GPU code development in LabVIEW.

  • Minimum efforts to accelerate existing LabVIEW code on GPUs. 

  • Supporting most common numeric operations and functions available in LabVIEW (more functions to be added in future)

  • Supporting almost all numeric types common dimensionalities available in LabVIEW

  • Single step installation to start using the code (no requirements additional driver installation)

  • Start with ready-to-run examples

LabVIEW-LIKE GPU CODE DEVELOPMENT

SUPPORTED FUNCTIONS

CuLab supports all essential functions required to accelerate numerically intensive codes:

  • Numeric functions (add, subtract,..., type conversion, complex numbers)
     

Numeric Pallet - CuLab : GPU Toolki for LabVIEW
Complex Operations - CuLab : GPU Toolki for LabVIEW
Numeric type Conversion - CuLab : GPU Toolki for LabVIEW

  • Array manipulation
     

Array Manipulation - CuLab : GPU Toolki for LabVIEW

 

  • Linear algebra (BLAS1, BLAS2, BLAS3)

BLAS Level 1 - CuLab : GPU Toolki for LabVIEW
Blas Level 2 - CuLab : GPU Toolki for LabVIEW
BLAS Level 3 - CuLab : GPU Toolki for LabVIEW

  • Signal processing (1D and 2D FFT and IFFT, single channel and batched mode)
     

FFT and IFFT single and multi-channel - CuLab : GPU Toolki for LabVIEW

  • Trigonometric function ([arc]sine, [arc]cosine, [arc]tan, ...)
     

Trigonometric Functions - CuLab : GPU Toolki for LabVIEW

  • Exponential functions (exponent, power, root, logarithm, ...)
     

Exponential Functions - CuLab : GPU Toolki for LabVIEW

  • Hyperbolic functions (hyperbolic sine, cosine, tan, ...)
     

Hyperbolic Functions - CuLab : GPU Toolki for LabVIEW

NUMERIC TYPES AND DIMENSIONALITIES
 
CuLab supports all the numeric types (I/U8, I/U16, I/U32, I/U64, SGL. CSG, DBL. CDB ) and dimensionalities (from scalars up to 4-dimensional arrays) required to implement most of the algorithms. Supporting mentioned types and dimensionalities allows user to seamlesly switch between between different data representations, automate error handling and squeez maximum performance out of available hardware.

 

Numeric Types and Dimensionality Supported by - CuLab : GPU Toolki for LabVIEW

INSTALLATION AND SYSTEM REQUIREMENTS

The toolkit comes as a VIPM (VI Package Manager) installer which includes the toolkit itself, all required drivers, documentation and reference examples

DEVELOPMENT SYSTEM REQUIREMENTS

HAVE QUESTIONS?

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