Description
Enables task-level pipelining, allowing functions and loops to overlap in their operation, increasing the concurrency of the RTL implementation, and increasing the overall throughput of the design.
All operations are performed sequentially in a C description. In the absence
of any directives that limit resources, such as pragma HLS
allocation, the Vitis HLS tool seeks to
minimize latency and improve concurrency. However, data dependencies can limit this. For
example, functions or loops that access arrays must finish all read/write accesses to the
arrays before they complete. This prevents the next function or loop that consumes the data
from starting operation. The dataflow optimization enables the operations in a function or
loop to start operation before the previous function or loop completes all its
operations.
When dataflow optimization is specified, the HLS tool analyzes the dataflow between sequential functions or loops and creates channels (based on ping-pong RAMs or FIFOs) that allow consumer functions or loops to start operation before the producer functions or loops have completed. This allows functions or loops to operate in parallel, which decreases latency and improves the throughput of the RTL.
If no initiation interval (number of cycles between the start of one function or loop and the next) is specified, the HLS tool attempts to minimize the initiation interval and start operation as soon as data is available.
config_dataflow
command specifies the default memory channel and FIFO depth used in dataflow optimization. For the DATAFLOW optimization to work, the data must flow through the design from one task to the next. The following coding styles prevent the HLS tool from performing the DATAFLOW optimization:
- Single-producer-consumer violations
- Bypassing tasks
- Feedback between tasks
- Conditional execution of tasks
- Loops with multiple exit conditions
Finally, the DATAFLOW optimization has no hierarchical implementation. If a sub-function or loop contains additional tasks that might benefit from the DATAFLOW optimization, you must apply the optimization to the loop, the sub-function, or inline the sub-function.
Syntax
Assign the XCL_DATAFLOW attribute before the function definition or the loop definition:
__attribute__((xcl_dataflow))Examples
Specifies dataflow optimization within function foo.
__attribute__((xcl_dataflow))
void foo ( a, b, c, d ) {
...
}