FPGAs are able to process data massively parallel. This and the fact that the hardware is custom-configured yields advantages over common processors. These are:
- real-time properties are inherent: all functions in an algorithm realized on FPGAs are computed concurrently. The timing is only affected by the chosen clock frequency and the number of pipeline stages for each function. The amount of functions does not affect the latency or throughput.
- lower clock frequency: more units work in parallel, so the load is distributed. This allows them to work with a lower clock frequency, while the throughput is constant
- higher safety: as there is no operating system, errors caused by unknown software and abstraction are avoided
- higher safety: point-to-point connections separate functional units from each other. Variables and data can only be assigned from one process
- Smaller probability of error from inter-process communication: the application is designed for parallelism from scratch. Simulation and verification support this paradigm
- no errors due to uninitialised variables: the simulation of the design forces the initialisation of variables
In general, FPGAs are suited well for all real-time applications. Nevertheless, determining the suitability of an FPGA solution for a problem requires experience and in-depth knowledge of FPGAs. Modern design methods are a huge support for the designer in these decisions.
Our experience in the implementation of algorithms on FPGAs allow you to fully utilize an FPGA's advantages - making it a competitive edge for you.