From
technical aspect, any computable problem can be solved using an FPGA or Field Programmable Gate Array Applications. It is trivially cleared by the reality
that a soft microprocessor can be implemented by FPGA. Their benefit keeps in
that they are sometimes notably quicker for a number of applications because of
their parallel characteristic and optimality in terms of the number of gates utilized
for a particular method.
Specified
uses of FPGAs comprise ASIC prototyping, digital signal processing, computer
hardware emulation, software-defined radio, medical imaging, bioinformatics,
computer vision, speech identification, cryptography, metal detection, radio
astronomy and an increasing extent of other areas.
In
the beginning, FPGAs started as challengers to CPLDs and contended in an analogous
space, that of glue logic for PCBs. As their size, capacity, and speed enhanced,
they started to takeover bigger and bigger functions to the point where few are
now marketed as complete systems on chips (SoC). Especially with the launch of
dedicated multipliers into FPGA architectures in the late 1990s, applications
which had conventionally been the only reserve of DSPs started to incorporate
FPGAs instead.
One
more tendency on the usage of FPGAs is hardware acceleration, where one can use
the FPGA to accelerate particular parts of an algorithm and share part of the
computation between the FPGA and a general processor.
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