Search Results for "raspberry"

Develop your app in Lua language and export it to most popular platforms, from desktop PC and Mac to mobile (Android, iOS, Windows Phone) and even Web. While Gideros is mainly dedicated to game development, it is also a good fit for professional apps. Code once, run everywhere! Intro documentation: http://docs.giderosmobile.com/ Reference documentation: http://docs.giderosmobile.com/reference/ Forum: http://giderosmobile.com/forum Full source code: https://github.com/gideros/gideros

...By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

...The framework provides facilities for real-time rendering of graphics (using DirectX, OpenGL or Software Renderer), text output, mathematics (including vectors and matrices) and networking communication, among other features. It also supports singleboard devices such as Raspberry PI, Intel Galileo, BeagleBone Black and others with features like GPIO, SPI, I2C and so on, along with external displays, sensors and other peripheral devices.

...So instead of worrying about how to compile for autoconf, autogen, bootstrap, cmake, or the traditional configure, make, make install, for each software title in your repo, builder will take care of all those details so you can focus on the more important parts of your project! Currently, builder can compile for AMD/Intel 32 and 64 bit along with ARM v6/7 (most notably for the Raspberry PI). The available profiles will successfully build for the XiniX and TC Linux distros, but contributions from others for those variants or others are welcomed and will be added to the database for all to use! Profiles can be found at: http://repo.cliquesoft.org/vanilla/1.1/builder/ [TC|XiniX]

This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler, demonstrating techniques such as pipeline stuffing to achieve maximum performance. ...