High-Throughput Computing Applications

Generate code for your high-throughput computing application

Use Embedded Coder^® to generate code for deep learning networks, image processing and computer vision applications and signal processing systems. Improve the execution speed of these high-throughput computing applications by generating Open Multiprocessing (OpenMP) and SIMD code.

Topics

High-Throughput Computing Optimization Techniques

Generate SIMD Code from Simulink Blocks for Intel Platforms
Improve the execution speed of the generated code using Intel^® SSE and Intel AVX technology.
Generate SIMD Code from MATLAB Functions for Intel Platforms
Improve the execution speed of the generated code using Intel SSE and Intel AVX technology.
Generate Parallel for-Loops Using the Open Multiprocessing (OpenMP) Application Interface
Implement parallel for-loops in the generated code for For Each Subsystems, MATLAB Function and MATLAB System blocks.

Deep Learning

Workflow for Deep Learning C/C++ Code Generation for Simulink Models
Overview of C/C++ code generation workflow for deep learning neural networks.
Generate Code for Deep Learning Networks Using MATLAB Function Block
Generate code for a model containing a MATLAB Function block that uses the GoogLeNet trained deep learning network.
Generate Code for Blocks from Deep Neural Networks Library
Generate code for a model containing the GoogLeNet trained deep learning network.
Code Generation for Deep Learning Simulink Model That Performs Lane and Vehicle Detection
This example shows how to generate C++ code from a Simulink® model that performs lane and vehicle detection using convolutional neural networks (CNN).
Generate Generic C/C++ for Sequence-to-Sequence Deep Learning Simulink Models
Generate C/C++ code for a sequence-to-sequence deep learning Simulink model.
Code Generation for Detect Defects on Printed Circuit Boards Using YOLOX Network
Generate code for a You Only Look Once X (YOLOX) object detector that can detect, localize, and classify defects in printed circuit boards (PCBs). (Since R2023b)

Signal Processing

Code Generation for Parametric Audio Equalizer (DSP System Toolbox)
This example shows how to model an algorithm specification for a three band parametric equalizer which will be used for code generation.
Use Intel AVX2 Code Replacement Library to Generate SIMD Code from Simulink Blocks (DSP System Toolbox)
Generate high performance SIMD code from Simulink^® blocks in DSP System Toolbox™ using Intel AVX2 code replacement library.
Use Intel AVX2 Code Replacement Library to Generate SIMD Code from MATLAB Algorithms (DSP System Toolbox)
Generate high performance SIMD Code from MATLAB^® algorithms in DSP System Toolbox using Intel AVX2 code replacement library.

Computer Vision and Image Processing

Accelerate Pedestrian Detection with SIMD Code
Generate SIMD code to improve the quality and speed of a pedestrian detection and tracking system.
Accelerate Vehicle Detection with SIMD
Generate SIMD code to improve the quality and speed of a vehicle detection and tracking system.
Automatically Schedule for-Loops for Neighborhood Processing Subsystems
Automatically schedule for-loop nests in the generated code for Neighborhood Processing blocks.

Related Information

Deep Learning with Simulink (Deep Learning Toolbox)
Deep Learning with MATLAB Coder
Deep Learning with GPU Coder (GPU Coder)