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arXiv (Cornell University)
Loop Optimization Framework
November 2018 • Michael Kruse, Hal Finkel
The LLVM compiler framework supports a selection of loop transformations such as vectorization, distribution and unrolling. Each transformation is carried-out by specialized passes that have been developed independently. In this paper we propose an integrated approach to loop optimizations: A single dedicated pass that mutates a Loop Structure DAG. Each transformation can make use of a common infrastructure such as dependency analysis, transformation preconditions, etc.
Artificial Intelligence
Computer Science
Parallel Computing
Theoretical Computer Science
Mathematics
Vectorization (Mathematics)
Software Engineering
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