Preprocessing tensor operations for optimal compilation
AssigneeIntel Corporation
InventorsJeremy Bruestle, Choong Ng
Life of this patent
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AssigneeIntel Corporation
InventorsJeremy Bruestle, Choong Ng
Estimating the term…
Techniques to preprocess tensor operations prior to code generation to optimize compilation are disclosed. A computer readable representation of a linear algebra or tensor operation is received. A code transformation software component performs transformations include output reduction and fraction removal. The result is a set of linear equations of a single variable with integer coefficients. Such a set lends itself to more efficient code generation during compilation by a code generation software component. Use cases disclosed include targeting a machine learning hardware accelerator, receiving code in the form of an intermediate language generated by a cross-compiler with multiple front ends supporting multiple programming languages, and cloud deployment and execution scenarios.
A method to generate computer readable instructions, the method comprising:
A system to perform preprocessing of computer readable representations of mathematical operations, the system comprising:
Computer storage media comprising instructions that, when executed, cause at least one processor to at least:
Dependencies are inferred from the claim text.