Where Does the “Speed” of FPGAs Come From? Among processor families, FPGAs (Field Programmable Gate Arrays) are renowned for their “hardware-level acceleration,” particularly excelling in fields such as high-performance computing, image processing, and communication protocol processing. Their “speed” does not solely rely on clock frequency (many FPGAs operate at only a few hundred MHz, far … Read more
The intersection of edge computing and artificial intelligence constitutes one of today’s most dynamic technological fields. This area, known as Edge AI, combines the concept of processing and analyzing data near the point of generation with advanced AI models, helping businesses achieve real-time detection and response at the edge, while enhancing efficiency, agility, and security … Read more
In 2017, Google updated their TPU series. Google referred to this generation of TPU as a “domain-specific supercomputer for training neural networks.” It is evident that compared to TPU v1, which focused on inference scenarios, TPU v2 shifted its design focus towards training-related scenarios. Looking back at history, around 2017, groundbreaking work in deep learning … Read more
Although FPGAs bring powerful capabilities and flexibility to embedded design, the additional development processes also introduce new complexities and limitations to the design work. Integrating traditional hardware-FPGA-software design processes and fully utilizing the reprogrammable features of FPGAs is one of our solutions. As FPGA technology gradually extends to military electronic systems and almost all areas … Read more