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
Improve the execution speed of the generated code using Intel® SSE and Intel AVX technology. - Generate SIMD Code for MATLAB Functions
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 Subystems, 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.
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. - Generate High Performance SIMD Code on Intel from Simulink Blocks in DSP System Toolbox (DSP System Toolbox)
Process to generate high performance SIMD code from Simulink® blocks. - Generate High Performance SIMD Code on Intel from MATLAB Algorithms in DSP System Toolbox (DSP System Toolbox)
Process to generate high performance SIMD code from MATLAB® algorithms. - Accelerate Pedestrian Detection with SIMD Code
Generate SIMD code to improve the quality and speed of a pedestrian detection and tracking system.
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.
Related Information
- Deep Learning with Simulink (Deep Learning Toolbox)
- Deep Learning with MATLAB Coder
- Deep Learning with GPU Coder (GPU Coder)