Similar to the implementation of a CPU with multiple pipeline stages, the compiler generates a deeply-pipelined hardware datapath. For more information, refer to Concepts of FPGA Hardware Design and How Source Code Becomes a Custom Hardware Datapath.
Pipelining allows for many data items to be processed concurrently (in the same clock cycle) while making efficient use of the hardware in the datapath by keeping it occupied.
Pipelining and Vectorizing a Pipelined Datapath
Consider the following example of code mapping to hardware:
Multiple invocations of this code when running on a CPU would not be pipelined. The output of an invocation is completed before inputs are passed to the next invocation of the code.
Understanding where the data you need to pipeline is coming from is key to achieving high performance designs on the FPGA. You can use the following sources of data to take advantage of pipelining:
- Loop iterations
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