coder summit -凯发k8网页登录
coder summit talks are from an annual technical interchange involving mathworks field engineers and development staff. these talks are your direct lens into the debut of key matlab® and simulink® capabilities for embedded code generation, software design, verification, and certification.
generating code from matlab and simulink using matlab coder™, simulink coder™, and embedded coder® is established as an approach for production software development that saves time and improves quality over hand coding. yet, engineers using coder products may seek more advanced features to support their next generation designs and hardware. as such, mathworks development and engineering staff are continuously working on advanced optimizations including simd, new semantics for software design including services oriented architeturse, automated code verification and profiling such as processor-in-the-loop (pil) testing, as well as, workflow improvements for industry standards such autosar, do-178, and iso 26262.
coder summits are where new features, examples, and ideas are first exchanged and now select talks are shared as a video series for all to enjoy.
so we hope you enjoy coder summit talks and learn directly from the experts that created the features and examples you need for your production code generation success.
coder summit 2019
hear how embedded coder supports concurrent, parallel, and multi-thread execution of for-loops.
see how you can use embedded coder to verify, tune, and log generated code using sil, pil, and external mode.
learn how you can use matlab coder and simulink coder to integrate with a c# application.
learn how to design, simulate, and generate code for autosar adaptive and classic applications.
learn how to simulate and generate code for denormal floating-point numbers using flush to zero.
learn how to compress design numerics for embedded system deployment.
learn how to apply quantization to machine learning algorithms for efficient microcontroller deployment.
coder summit 2018
hear about embedded code generation advances in r2018a with the major release of matlab coder and embedded coder.
watch how to quickly customize and generate code using embedded coder quick start, code perspective, and embedded coder dictionary.
learn about recent improvements to embedded coder that let you customize generated data, functions, and files according to your production software environment and standards.
see how embedded coder lets you quickly use specific optimization levels in r2018a and how it has a multifaceted approach to producing more efficient code.
watch how mathworks coder products, such as matlab coder and embedded coder share a common coder engine that is increasingly optimized for code patterns in computer vision and automated driving/adas applications.
hear how embedded coder supports automatic data buffer reuse, user-specified reuse, and starting in r2018a, an intuitive user-suggested data reuse option that minimizes unnecessary data copies in generated code.
simd code generation hear how embedded coder generates native simd instructions including intel sse and avx for windows and linux. previous simd support used code wrappers but native simd generation in r2018a improves quality and efficiency.
see how automated driving toolbox and embedded coder let you design, simulate, and generate c code for automated driving and adas systems. examples include adaptive cruise control with sensor fusion and model predictive control.
hear how simulink and embedded coder let you model classes and generate c code. object-oriented design and realization is critical for services-oriented architecture and middleware including adaptive autosar, ros 2.0, dds, and more.
fixed-point designer lets you optimize lookup tables in simulink and generate highly efficient code with embedded coder. the lookup table optimizer compresses data into data types that minimize memory use with low impact to numerical accuracy.