Intel Corporation

Elbrus International Limited

Alexander L Sushentsov

Alexander Y Ostanevich

Vladimir Y Volkonsky

John Ng

Provided are a method, system, and article of manufacture improving data locality and parallelism by code replication and array contraction. Source code including an array of elements referenced using at least two indices is processed. The array is nested within multiple loops, wherein at least two of the loops perform iterations with respect to the indices of the array, wherein the index incremented in at least one innermost loop of the loops does not comprise a leftmost index in the array. The source code is transformed to object code by performing operations including fusing at least two innermost loops of the loops in object code generated by compiling the source code by replicating statements from at least one of the innermost loops into a fused innermost loop and performing loop interchange in the object code to have the fused innermost loop provide iterations with respect to the leftmost index in the array.

Improving data locality and parallelism by code replication

A method and apparatus for generating an optimized intermediate representation of source code for a computer program are described. An initial intermediate representation is extracted from the source code by organizing it as a plurality of basic blocks that each contain at least one program instruction ordered according to respective estimated profit values. A goal function that measures the degree of optimization of the program is calculated in accordance with its intermediate representation. The effect on the goal function of modifying the intermediate representation by moving an instruction from one of the basic blocks to each of its predecessors is tested iteratively and adopting the modified intermediate representation if it causes a reduction in the goal function.

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Moscow, Russia

Alexander L Sushentsov