MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202617084028 A) filed by Advanced Micro Devices, Inc. on July 08, 2026, for Systems And Methods For Heterogeneous Model Parallelism And Adaptive Graph Partitioning.
Inventors include Radhakrishnan, Viren Luke; Ramachandran, Arun Coimbatore; Chandrashekar, Lalithnarayan; and Raghavendra, Prakash Sathyanath.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: Systems, apparatuses, and methods for adaptive graph repartitioning of a computational graph representing at least a portion of a neural network are described. Parallelization of a neural network model includes executing some partitions of a computational graph on accelerators while other partitions can be executed on a CPU. When executing these partitions using specific computing devices, operational parameters of different computing devices and overall availability of system resources can keep changing over time. Adaptive graph repartitioning includes repartitioning a computational graph that includes nodes representing various operations for a neural network model. Dynamic repartitioning of the graph partitions can be performed to better distribute load between devices for different conditions such as exploiting different device strengths, minimizing the idle time of the devices, and generating different partition configurations.
Disclaimer: Curated by HT Syndication.
