Several MATLAB® toolboxes for signal processing and communications contain highly optimized GPU functions that run on NVIDIA GPUs to reduce computation time. Although execution speed varies by application, users have achieved speedups of 30x for wireless communication system simulations.
Signal processing and communications algorithms contain structurally parallel data flows that involve iterative, computationally intensive, and time-consuming mathematical operations. NVIDIA GPUs contain thousands of highly specialized cores that operate in parallel to reduce execution time of these algorithms and accelerate simulation.
Examples of GPU accelerated communications systems applications: bit error rate (BER) simulation (top) and clutter simulation in airborne radar system (bottom).
Existing signal processing and communications algorithms can run on NVIDIA GPUs with minimal code changes.
|Product Name||GPU Support|
|Signal Processing Toolbox™||1D Cross Correlation
2D Cross Correlation
|Communications System Toolbox™|
|Phased Array System Toolbox™||
Clutter simulation on GPU in an end-to-end airborne radar system
|Additional Products||All of products with GPU and parallel computing support|
See also: Simulink, Phased Array System Toolbox, Communications System Toolbox, Signal Processing Toolbox, MATLAB, DSP System Toolbox, Signal Processing Toolbox, Communications System Toolbox, DSP System Toolbox, Phased Array System Toolbox, MATLAB GPU computing, low-pass filter, high-pass filter