Abstract
Digital signal processors (DSPs) provide dedicated data address generation units (AGUs) with multiple register files. These units allow data memory access by indirect addressing with automatic address modification. Typically, both linear and modulo addressing are supported. There is no address computation overhead if the next address is within the auto-modify range. Often, this range can be adapted to the application by assigning static values to modify registers. We discuss optimized data memory address generation in DSP programs. Here the goal is to minimize data address computation and register initialization costs by optimizing data memory layout, address register assignment, and auto-modify range. The investigated combinatorial optimization problems can have an extremely large solution space. However, experimental results indicate that random neighbourhood sampling by simulated annealing allows one to produce highly optimized solutions.
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