Microsoft Technology Licensing, LLC

Amit Jayant Sabne

Eric Avi Brumer

James J Radigan

A computing device is provided, including a processor configured to receive source code at a compiler. The source code may include at least one compound conditional having a plurality of conditions. For each condition of the plurality of conditions, the source code may further include a respective code block including instructions to evaluate the condition. For each ordering of a plurality of orderings of the plurality of conditions, the processor may determine that the ordering satisfies one or more legality constraints. For each ordering of the plurality of orderings that satisfy the one or more legality constraints, the processor may determine a respective estimated computational cost for that ordering. The processor may reorder the plurality of conditions to have an ordering that has a lowest estimated computational cost of the plurality of orderings that satisfy the one or more legality constraints.

Compound conditional reordering for faster short-circuiting

Algorithms, examples, and related technology for automatic vectorization of a particular class of loops is described. The loops, denoted 'CMMSR loops', operate to find an extremum and also utilize an index denoting the position of the extremum in an array or other multi-element input. CMMSR loops are identified in a language translator by matching a specified template or having a specified set of parsing results, or both. Generated vectorization code includes, for example, code to compute candidates for the extremum, code to select the same instance of the extremum as a scalar execution when the input contains multiple instances, and wind-down code to compute an index expression based on the selected instance of the extremum. Vectorizations may execute on SIMD hardware or other vector processors.

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Amit Jayant Sabne