SOM-XQ138S core board ▪︎ Based on TI OMAP-L138 (fixed-point/floating-point DSP C674x + ARM9) + FPGA processor development board; ▪︎ OMAP-L138 is TI’s TMS320C6748 + ARM926EJ-S heterogeneous dual-core processor, with a main frequency of 456MHz, capable of up to 3648MIPS and 2746MFLOPS of computing power; ▪︎ The FPGA uses the eHiChip6 family EQ6HL45 series chip from … Read more
EEWORLD Electronic News Sharp Interpretation Technical Content Updated Daily I am into DIY projects and will use an FPGA for PC and device data interfaces. I have wanted to create a small development board for a long time, featuring USB high-speed transmission, as well as an external RAM for FIFO as much as possible, with … Read more
In this article, we implement a design for interconnecting the ZYNQ FPGA PS side processor with the PL side registers, using the Vitis program on Windows to control the FPGA PS side ARM to read and write the PL side registers. 1. Generate the hardware logic on the PL side Taking the ZU7EV series as … Read more
The leader in the chip programming industry, ACROVIEW, recently released the latest update for its programming software and a list of newly supported chip models, among which the Hercules H1D03N3W72 programmable video bridge has been supported by ACROVIEW’s universal programming platform, AP8000. H1D03N3W72 is a programmable video bridge device that supports various mobile image sensor … Read more
Click the blue text to follow us Embedded processors are essential core components in modern electronic devices, widely used in consumer electronics, automation control, medical devices, automotive electronics, and other fields. They are used to execute specific tasks or control systems, typically characterized by low power consumption, small size, and high efficiency. Depending on different … Read more
With the application of cloud computing, big data, and artificial intelligence technologies, relying solely on CPUs can no longer meet the computational needs of various industries. Scenarios such as massive data analysis, machine learning, and edge computing require a diversified computing architecture, necessitating the collaboration of different processor architectures and heterogeneous computing technologies like GPUs, … Read more
With the applications of cloud computing, big data, and artificial intelligence technologies, relying solely on CPUs can no longer meet the computing power demands across various industries. Scenarios like massive data analysis, machine learning, and edge computing require a diverse computing architecture, necessitating the collaboration of different processor architectures such as GPUs, NPUs, and FPGAs … Read more
FPGA (Field Programmable Gate Array) refers to a field-programmable gate array. It is a product developed further based on programmable devices such as PLA, PAL, GAL, and CPLD. It serves as a semi-custom circuit in the domain of Application-Specific Integrated Circuits (ASIC), addressing the shortcomings of custom circuits and overcoming the limitations of the number … Read more
Abstract: In response to the issues in traditional embedded systems teaching, this article proposes using the Zynq platform as a practical platform for teaching reform in embedded systems. A new course structure is adopted, oriented towards engineering practice training, driving students to autonomously complete course learning and practical activities. Teaching practice shows that completing embedded … Read more
First, “embedded” is a concept with no precise definition; different books provide their own definitions. However, the main idea is the same: compared to general systems like PCs, embedded systems are specialized systems, streamlined in structure, retaining only the necessary parts in hardware and software while eliminating the unnecessary ones. Therefore, embedded systems generally have … Read more