Taiwan Semiconductor Manufacturing Comp. Ltd.

TSMC Nanjing Company, Limited

Kai-Yuan Ting

Yun-Han Lee

Sandeep Kumar Goel

Tze-Chiang Huang

A non-transitory computer-readable storage medium is encoded with a set of instructions for designing a semiconductor device using electronic system level (ESL) modeling for machine learning applications that, when executed by at least one processor, cause the at least one processor to: retrieve a source code operable to execute a plurality of operations of a machine learning algorithm; classify a first group of the plurality of operations as slow group operations and classify a second group of the plurality of operations as fast group operations, based on a time required to complete each operation; define a neural network operable to execute the slow group operations; define a trained neural network configuration including a plurality of interconnected neurons operable to execute the slow group operations; and generate an ESL platform for evaluating a design of a semiconductor device based on the trained neural network configuration.

System and method for ESL modeling of machine learning

A method includes receiving a source code for executing a plurality of operations associated with a machine learning algorithm, classifying each operation into a fast operation group and/or a slow operation group, defining a neuron network for executing operations of the slow operation group, and mapping the neuron network to an initial machine learning hardware configuration. The method also includes executing the slow operation group operation on the machine learning hardware configuration, finalizing the machine learning hardware configuration capable of successfully executing least one test data set.

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Hsinchu, Taiwan

Kai-Yuan Ting