By Rajiv Gupta
This e-book constitutes the refereed lawsuits of the nineteenth overseas convention on Compiler building, CC 2010, held in Paphos, Cyprus, in March 2010, as a part of ETAPS 2010, the Joint eu meetings on conception and perform of software program. Following a radical evaluation strategy, sixteen learn papers have been chosen from fifty six submissions. themes coated comprise optimization options, software adjustments, application research, check in allocation, and high-performance structures.
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Additional resources for Compiler Construction: 19th International Conference, CC 2010, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2010, Paphos, Cyprus, March 2010, Proceedings
8. Algorithm 1: Compute RecursivePredicate and ExitPredicate 4. Pick an unused SSA name for the RecursiveP redicate. 5. Convert φ-nodes to gating function μ. 6. Insert (RP )[T ]RP = .... at the very beginning of loop header where RP is the SSA name picked in the previous step and it is assigned to the computed RecursiveP redicate by converting all the predicate variables in the computed predicate to future form. 7. Convert every instruction in the header to recursive form using RP and delete the back edges and branches.
In this way, as long as the predicate which controls the loop iteration is known, any loop instruction can iterate itself and hence it can be separated from the loop structure (or pushed out of the loop region). In other words, an instruction that is hoisted above the loop header becomes a recursive instruction controlled by a special predicate called the Recursive Predicate: Definition 6. Recursive Predicate: In a loop L that has a single loop header H and a single backedge e, the predicate expression which allows control flow to reach e from H without going through e is Recursive Predicate for L.
Such elimination creates two deﬁnitions of x3 and the resulting graph is no longer in single-assignment form. Our solution is to delay the elimination of φ-nodes until the two deﬁnitions can be merged, at which time a gating function  can be used if necessary: Definition 2. We define the gating function ψp (a1, a2) as an executable function which returns the input a1 if the predicate p is true and a2 otherwise. 32 ¨ S. Ding and S. Onder I: x1 = J: x2 = I: x1 = K1: x3,1,2 = x1 K: x3 = φ(x1, x2) J: x2 = K2: x3,2,2 = x2 K: x3 = φ(x3,1,2, x3,2,2) Fig.