beaglebone php,FPGA Development Board CAPE for the BEAGLEBONE

郜驰
2023-12-01

The LOGi Family FPGA boards allow beginning or experienced FPGA developers a plug-and-play experience with popular embedded systems including the Raspberry Pi and the BeagleBone that can easily connect to a multitude of off-the-shelf hardware peripherals. The LOGi Team has created a closed-loop development solution using the LOGi Boards by providing the hardware, software, drivers and applications for users to jump start their FPGA/CPU applications.

The LOGI-BONE is an FPGA development platform that has been optimized for use with the BeagleBone. The LOGi-Bone/BeagleBone combination was designed with key design attributes in mind including ease of use, maximum expansion capability and low cost to performance ratio. The LOGi-Bone creates a powerful and versatile digital canvas for users to create their imaginative digital designs.

The LOGI-Team has developed software and drivers that make it easy for users to communicate between the FPGA and the Beaglebone. APIs and Wrappers have been written that allow easy access to the FPGA custom hardware peripherals using the wishbone bus standard. Applications can easily be written using C,C in conjunction or with python. APIs for these languages allow easy to use and high bandwidth communication with the FPGA.

LOGi Hardware modules are designed using the widely used standards including Digilent Inc PMOD, Arduino Shield and high bandwidth modules using SATA connectors (For LVDS expansion only - SATA protocol not supported). Existing LOGi modules include the LOGi-Cam and the LOGi-EDU.

Applications :

The LOGi-Team has created a number of applications for the LOGi-Bone including a bitcoin miner, machine vision and autonomous vehicle and robotic controllers. All applications are open source and available on the LOGi repository. An “App Store” (Free) application methodology has been developed that allows users to simply download the latest fully built applications and run them with no need to delve into building the HDL and source code.

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