公开(公告)号：US20230229916A1

公开(公告)日：2023-07-20

申请号：US18157608

申请日：2023-01-20

Applicant: NVIDIA Corporation

Inventor： Gal Chechik ,  Eli Alexander Meirom ,  Haggai Maron ,  Brucek Kurdo Khailany ,  Paul Martin Springer ,  Shie Mannor

IPC: G06N3/08 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06N3/045

Abstract: A method for contracting a tensor network is provided. The method comprises generating a graph representation of the tensor network, processing the graph representation to determine a contraction for the tensor network by an agent that implements a reinforcement learning algorithm, and processing the tensor network in accordance with the contraction to generate a contracted tensor network.

公开(公告)号：US20230079978A1

公开(公告)日：2023-03-16

申请号：US17709720

申请日：2022-03-31

Applicant: Nvidia Corporation

Inventor： Evgeny Bolotin ,  Yaosheng Fu ,  Zi Yan ,  Gal Dalal ,  Shie Mannor ,  David Nellans

IPC: G06F1/324 ,  G06F1/20 ,  G06F11/34

Abstract: A system, method, and apparatus of power management for computing systems are included herein that optimize individual frequencies of components of the computing systems using machine learning. The computing systems can be tightly integrated systems that consider an overall operating budget that is shared between the components of the computing system while adjusting the frequencies of the individual components. An example of an automated method of power management includes: (1) learning, using a power management (PM) agent, frequency settings for different components of a computing system during execution of a repetitive application, and (2) adjusting the frequency settings of the different components using the PM agent, wherein the adjusting is based on the repetitive application and one or more limitations corresponding to a shared operating budget for the computing system.

公开(公告)号：US20220398283A1

公开(公告)日：2022-12-15

申请号：US17824680

申请日：2022-05-25

Applicant: NVIDIA Corporation

Inventor： Shie Mannor ,  Assaf Joseph Hallak ,  Gal Dalal ,  Steven Tarence Dalton ,  Iuri Frosio ,  Gal Chechik

IPC: G06F16/903 ,  G06F16/901

Abstract: A method for performing a Tree-Search (TS) on an environment is provided. The method comprises generating a tree for a current state of the environment based on a TS policy, determining a corrected TS policy, and determining an action to apply to the environment based on the corrected TS policy. The tree comprises a plurality of nodes including a root node among the plurality of nodes corresponding to the current state of the environment. Each node other than the root node among the plurality of nodes corresponding to an estimated future state of the environment. The plurality of nodes in the tree are connected by a plurality of edges. Each edge among the plurality of edges is associated with an action causing a transition from a first state to a different sate of the environment.