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The chapter states that in this manner, the search space for the custom instruction selection problem can be explored.
It can be used as a subroutine by a larger procedure that solves the custom instruction selection problem by enumerating different subsets of custom instructions to synthesize.
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In this paper, we explore the effects of defining the problem of finding an optimal instruction selection and scheduling as a constraint satisfaction problem (CSP).
First, take the selection problem.
This is an "adverse selection" problem.
And they solve the adverse selection problem.
The developments leave Gatland with a potential selection problem.
The index selection problem is first formulated and four index selection algorithms are evaluated via simulation.
There is a big difference with the variable selection problem.
The IBS algorithm solves the implementation-bin selection problem.
It ends with a discussion of instruction selection, which is especially important to processors (such as DSPs) with idiosyncratic instructions sets.
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