Automatic SIMD Vectorization of SSA-based Control Flow by Ralf Karrenberg

By Ralf Karrenberg

Ralf Karrenberg offers Whole-Function Vectorization (WFV), an method that enables a compiler to instantly create code that exploits data-parallelism utilizing SIMD directions. Data-parallel purposes resembling particle simulations, inventory alternative expense estimation or video interpreting require a similar computations to be played on large quantities of knowledge. with out WFV, one processor middle executes a unmarried example of a data-parallel functionality. WFV transforms the functionality to execute a number of situations without delay utilizing SIMD directions. the writer describes a sophisticated WFV set of rules that features a number of analyses and code new release options. He indicates that this procedure improves the functionality of the generated code in numerous use cases.

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6 Dynamic Variants The dynamic approach of Shin [2007] employs “branches-on-superword-condition-code” (BOSCC) to exploit non-diverging control flow. 6 Dynamic Variants 37 false at runtime. 3 without code duplication: the code still has to account for situations where the predicate is not entirely true or false, unless a completely disjoint path is introduced where all code is duplicated. Our analysis can do better by providing the necessary information statically, which allows to retain the original control flow.

Let d = (ρ, μ, @, #) be a state of the execution at a given node, where ρ : Vars → τ is a mapping of variables to values, μ : π∗ → π is a mapping of memory locations to values, @ : γ → bool stores for each program point whether it is active or not, and # : int is an instance identifier. The notation ρ ⊕ {x → y} stands for y if x = v λv. , the value of x in ρ is updated to y. 2. For the sake of brevity, we only show the effects on the updated elements of state d per rule. We assume a non-standard execution model: predicated execution.

Since those techniques only consider inner loops, they only vectorize acyclic code regions. g. to static iteration counts, specific data-dependency schemes, or straight-line code in the loop body. , statements performing the same operations in the same order, inside a basic block, independent of loops. Such statements can be combined to SIMD instructions similar to instructions unrolled inside loops. Shin et al. [2005] extended the approach to also work in the presence of control flow by using predicates.

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