Systems and methods for providing deeply stacked automated program synthesis

A method for automated program synthesis comprising:

• obtaining, with at least one computing cluster, sketched data;
• partitioning, with the at least one computing cluster, the sketched data into partitions;
• training, with the at least one computing cluster, diverse sets of individual program synthesis units with the partitioned sketched data and for each partition applying respective transformations to increase a volume of data;
• and
• generating, with the at least one computing cluster, sketched baseline data with each individual program synthesis unit having a different model based on the applied sketched data and transformations.

At least one machine-readable medium comprising a plurality of instructions, executed on a computing device, to facilitate the computing device to perform one or more operations comprising:

• partitioning sketched data into partitions;
• training diverse sets of individual program synthesis units each having different capabilities with partitioned sketched data and applying respective transformations to each partition;
• generating sketched baseline data for each individual program synthesis unit;
• and
• training a master program synthesis unit through jointly approximating and modeling behaviors of a whole set of each individual program synthesis unit.