Tensilica ConnX DSP Family Training
版本 | 区域 | |
---|---|---|
10.3 | Online | ENROLL |
Other Versions | Online | EXPRESS INTERESTINQUIRE |
Length: 2 Days (16 hours)
Course Description
This course provides detailed information about programming the Tensilica® ConnX DSP family. The material provides an overview of the architecture and instruction set of the DSP family, along with detailed information on how to write and optimize code. ConnX instructions for common DSP operations are presented in detail.
The course also covers tips and techniques for programming VLIW/SIMD machines like the ConnX DSPs and how to use the advanced capabilities of the Xtensa® XT-CLANG compiler to generate better-compiled code.
Demonstrations and labs give practical and hands-on experience with the DSP core, libraries, and software tools. This course provides the software developer or firmware engineer the essential skills necessary to develop and optimize baseband algorithms and kernels on the ConnX DSP family.
Learning Objectives
After completing this course, you will be able to:
- Understand the ConnX DSP family architecture, instruction set, and programming model
- Write and optimize C/C++ programs for VLIW/SIMD machines like the ConnX DSPs
- Use advanced capabilities of the Xtensa XT-CLANG compiler to generate efficient compiled code
- Use the library routines provided with the ConnX DSP family to accelerate your software development cycle
Software Used in This Course
- Tensilica Xtensa Xplorer 10.2.3
- Tensilica Xtensa Software Tools RJ-2024.3
Software Release(s)
RJ-2024.3
Modules in this Course
- About This Course
- ConnX Processor Overview
- Application Performance
- Architecture Overview
- Instruction Set Highlights
- Data Handling
- Programming Styles
- The N-Programming Model
- Auto-Vectorization of Scalar C Code
- C Operators with Vector Types
- Intrinsics Use
- DSP Libraries
- Lab 3-1 – Vector Programming
- Programming Guidelines
- Lab 4-1 – Auto-Vectorization
- ConnX Instruction Overview
- Vector Element Operations
- Load and Store Operations
- Multiply Operations
- Lab 5-1 – Intrinsic Optimization
- Advanced Topics
- Vector Floating-Point
- Matrix Multiply
- Divide, Reciprocal, SQRT, RSQRT
- LFSR-Convolutional Encoding
- Nonlinear Function Approximation
- FIR Support
- FFT Support
- Dual Peak Search
- Error Correction
- Gather/Scatter Support
Lab 6-1 – Packed Matrix Multiplication
- Deliverables
- Q/A
Audience
- Software developers and firmware engineers writing and optimizing code for the ConnX DSPs
Prerequisites
You must have experience with or knowledge of the following:
- Programming in C for embedded processors or DSPs
Or, you must have completed the following courses:
Related Courses
- Tensilica ConnX BBE16EP Baseband Engine
- Tensilica ConnX BBE32EP Baseband Engine
- Tensilica ConnX BBE64EP Baseband Engine
- Tensilica ConnX B10 DSP
- Tensilica ConnX B20 DSP
ONLINE TRAINING
Genus Synthesis Solution v16.1
This online class features the Cadence® Genus™ Synthesis Solution with next generation synthesis capabilities and how SoC design productivity gap is filled by Genus