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By Mulliken R.S.

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In other words, for each operation the weight of matching it with a certain feasible control step c must be larger than matching the same operation with any later feasible control step. A possible function to create these weights could be as follows: F = κ − c. Here, κ is some constant and c is the index of the control step. As we go further in time axis, the value of F will be monotonically decreasing. 1 Embedded Core Utilization Objective A possible objective in high-level synthesis can arise due to the specific architectural features of the target system.

A Scheduling Algorithm for Optimization and Early Planning • 47 of matchings are adjusted such that the earliest schedule step is preferred for each operation. In the second step, the operation M2 is scheduled. M2 is chosen next considering that M2 combined with the path following M2, which consists of already scheduled operations, has the next longest delay. In the third and last step, the chain consisting of operations M3, M5 is scheduled. However, at this step the initial bipartite graph created for this chain is infeasible.

A Scheduling Algorithm for Optimization and Early Planning • 51 Table IV. Number of Operations Performed on the Optimized Block Versus Total Number of Operations of Matching Type Benchmark (DFG) adpcm DFG1 DFG2 convolve DFG1 DFG2 DFG3 fft DFG1 DFG2 getblk DFG1 DFG2 jdmerge DFG1 DFG3 ewf arf fir CPLEX Our algorithm 1/1 1/1 1/1 1/1 4/6 2/3 5/6 3/6 2/3 5/6 6/9 5/6 6/9 6/6 3/4 4/4 3/4 3/4 5/8 4/5 3/8 10/16 7/11 5/8 3/5 3/8 8/16 7/11 information based on the particular resource executing the operation.

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