Learn how to use the CMSIS-DSP Python wrapper, and how a CMSIS-DSP API is represented in Python.
View the guideLearn how to write, compile, and run a simple program for an embedded system based on Arm technology.
View the guideUnderstand how to modify the output mechanism to use the UART capability of the target system.
View the guideThis guide is the third in a collection of related guides. Learn how to write event-driven embedded system code.
View the guideThis guide is the fourth in a collection of related guides. Understand how to use exceptions to move through different exception levels and switch between the Secure and Non-secure worlds.
View the guideLearn how to use Jenkins and Docker in a continuous integration development flow with Arm Fast Models to help minimize problems during software development and provide a consistent and automated foundation for your embedded software development work.
Learn moreLearn how to increase your unit testing throughput, by running more tests in less time.
View the guideLearn more with our collection of guides for Arm CPU and GPU Architecture.
Learn moreLearn more about how to make sure your app is ready to support 64-bit devices.
Learn moreLearn more about Performance Advisor, and how to generate easy-to-read performance reports.
Learn moreLearn more about Android automated performance analysis.
Learn moreLearn how to use Streamline to capture a profile of a debuggable Android application.
View the guideLearn how you can use Docker to simplify multi-architecture application deployment on both embedded devices and servers.
View the guideExplore Linux application and system performance analysis and learn how to find where a system is spending time.
View the guideLearn more about Arm AWS instances, the tools available to develop applications for Arm-based servers, and how easily they can be used in the cloud.
Learn moreLearn how to download, license, and install Arm Fast Models, and then run an example system with a simple bare-metal hello world software application.
Learn moreLook at the graphics API calls in an application and identify any rendering defects.
Learn moreCapture a profile of your application running on an unrooted Android device, and analyze it using Streamline's interactive charts and data views.
Learn morePerform offline performance analysis for shader programs.
Learn moreGenerate an easy-to-read performance summary from a Streamline capture.
Learn moreStandalone and mobile virtual reality (VR) requires high performance and efficiency from a GPU for the highest quality end user experience. Read our guide on creating VR applications on Arm Mali GPUs with Unity.
View the guideThis guide discusses texture optimizations that can help your games and look better, and run more smoothly.
View the guideThis guide highlights some key geometry optimizations for 3D assets. Geometry optimizations can make a game both more efficient, and perform better on mobile platforms.
View the guideThis guide discusses material and shader optimizations that can help your games to look great, and run more efficiently.
View the guideSet up and configure the Arm NN SDK build environment for the Caffe neural network.
View the guideWork around the limited memory of the Raspberry Pi by cross-compiling Arm NN and TensorFlow.
View the guideSet up and configure the Arm NN SDK build environment.
