METHOD FOR PROCESSING DEEP LEARNING WORK IN HETEROGENEOUS ACCELERATOR AND CLUSTER SYSTEM FOR PERFORMING THE SAME

摘要

It relates to a method of processing a deep learning task through a deep learning framework in a heterogeneous accelerator in a cluster system for a deep learning cloud service according to an embodiment of the present disclosure. The method includes executing a deep learning task on a deep learning framework, determining at least one of a primary accelerator or a secondary accelerator on which to run the deep learning task, and assigning the deep learning task to at least one of the determined primary accelerator or secondary accelerator. and generating result data for the deep learning task based on a result processed by at least one of the determined primary accelerator or the secondary accelerator, wherein the secondary accelerator is an accelerator different from the primary accelerator.