Abstract: An apparatus for Machine Learning (ML) processing includes computational engines and a Central Processing Unit (CPU). The CPU is configured to receive a work plan for processing one or more samples in accordance with a ML model represented by a corresponding ML graph. The work plan specifies jobs required for executing at least a subgraph of the ML graph by the computational engines, the at least subgraph includes multiple inputs, and is executable independently of other parts of the ML graph when the inputs are valid. The CPU is further configured to pre-process only a partial subset of the jobs in the work plan corresponding to the at least subgraph, for producing a group of pre-processed jobs that are required for executing part of the at least subgraph based on the one or more samples, and to submit the pre-processed jobs in the group to the computational engines for execution.

Abstract: The present invention represents a lead generations system, which incorporates a customer reward systems. In general the present invention provides a data processing system for uploading members request to target vendors based on products without displaying vendor information with interface of customer reward database. A product database comprising a plurality of vendors who supply products and a plurality of members who request the products as buyers. Members signup and request a product. Vendor list is not being displayed by the system. Member accounts are credited with reward and vendors receive notification. Due to non-vendors information disclosure all vendors have equal opportunity to compete.