FPGA Revolution 2.0: Pioneering a Quantum Leap into Future Tech

The generic processors include APU and RPU which helps to deal with a limited clock frequency. But when it comes to FPGA it’s a combination of both Processing system (PS) and programming logic(PL) which gives an upper hand on dealing with parallel processes with even higher clocks. In this way designer has the flexibility to use either PS or PL depending on the application. This gives him an upper hand over the PS alone.

Major trends in FPGA in the past year include the integration of AI and ML techniques to build a robust neural network with a limited number of resources and integration with the existing RFSoC to translate and work in the frequency domain. They shall prove to be critical in signal processing and beamforming. 

5NR applications are one of the best examples where FPGAs are employed, where ultra-low latency and bandwidth are the prime areas of concern. Just as another example chandrayan3 has an FPGA inside to deal with high-speed links.

Defense, RF communication, supercomputers, commercial electronics, Telecommunications etc because FPGA provides reconfigurability which ASIC lacks, and also time to market is much less when compared to the latter.

FPGAs prove to be critical in terms of training the neural networks to build a complex learning model. Xilinx’s latest release Versal devices are already in the market to provide hardware accelerators and advancements are not confined to a single domain. Equalization techniques and adaptive filters are some examples in the signal-processing domain.

64bit AES encryption IP provides the security and integrity of the FPGA designs and it is merely impossible to decode the data. It merely appears to be junk until we have access to the key. This is entirely dependent on the application as mentioned only in defence.