Speed and Area Optimization

Improvements through resource sharing and RAM mapping

For your target hardware, generate SystemC™ code from a MATLAB^® function that meets timing and area requirements by using speed and area optimizations. Area optimizations reduce resource usage of your design. Speed optimizations improve the timing of your design on the target hardware so that your design runs at higher frequencies by optimizing the critical path.

Classes

hdl.WorkingSet Working set object that generates working sets form the input image

Functions

`coder.hdl.loopspec`	Unroll or stream loops in generated HDL and SystemC code
`coder.hdl.constrainlatency`	Specify the minimum and maximum acceptable hardware latency for a MATLAB function for SystemC code generation
`coder.hdl.arraydistance`	Specify minimum or maximum array distance inside pipelined `for`-loop
`coder.hdl.stable`	Define stable inputs in MATLAB design
`coder.hdl.interface`	Specify input to be mapped to the line buffer interface in HLS

Topics

Map Persistent Arrays to RAM
To map the persistent variables to RAMs in the generated SystemC code use the RAM Mapping optimization.
Pipelining of for-Loops
Pipelining allows concurrent execution of multiple iterations.

Featured Examples

Map Persistent Variables to RAM for Histogram Equalization

Use the RAM mapping optimization in HDL Coder™ to map persistent matrix variables to block RAMs in hardware.

Open Script