Abstract: An apparatus for generating a valid neural network architecture includes one or more processors, and a memory storing one or more programs which are configured to be executed by the one or more processors. The one or more programs include instructions for a neural network architecture parser and a neural network architecture generator, which the a neural network architecture parser configured to generate one or more abstract syntax trees corresponding to neural network architectures, respectively, by parsing one or more neural network architectures; and a neural network architecture generator configured to generate one or more new neural network architectures by substituting at least a portion of blocks of the abstract syntax tree with blocks compatible with the partial regions.

Abstract: A method for monitoring a job scheduler may be performed on a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. The method may include checking whether it is necessary to determine whether to expand a resource of a computing environment to be scheduled when a job is performed by scheduling by a job scheduler; calculating a value of a score function for a scheduling policy currently executing and a maximum value of a predetermined score function when it is necessary to determine whether to expand a resource of the computing environment to be scheduled; and determining to expand a resource of the computing environment to be scheduled based on the value of the score function and the maximum value of the predetermined score function.

Abstract: A neural network architecture embedding method according to an embodiment is performed by a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. The method generates a word data set for each of a plurality of layers of a neural network architecture on basis of one or more features of each of the plurality of layers, generates a graph regarding the neural network architecture on basis of the word data set and connection relationship between the plurality of layers, and generates a neural network architecture embedding vector for the neural network architecture by inputting the graph regarding the neural network architecture to a pre-trained network-vector transformation model.