公开(公告)号：US20210350212A1

公开(公告)日：2021-11-11

申请号：US17328028

申请日：2021-05-24

Applicant: Intel Corporation

Inventor： DHIRAJ D. KALAMKAR ,  KARTHIKEYAN VAIDYANATHAN ,  SRINIVAS SRIDHARAN ,  DIPANKAR DAS

IPC: G06N3/04 ,  G06N3/063 ,  G06T1/20 ,  G06N3/08

Abstract: One embodiment provides for a non-transitory machine readable medium storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising providing an interface to define a neural network using machine-learning domain specific terminology, wherein the interface enables selection of a neural network topology and abstracts low-level communication details of distributed training of the neural network.

公开(公告)号：US20220101480A1

公开(公告)日：2022-03-31

申请号：US17398295

申请日：2021-08-10

Applicant: Intel Corporation

Inventor： DHIRAJ D. KALAMKAR ,  KARTHIKEYAN VAIDYANATHAN ,  SRINIVAS SRIDHARAN ,  DIPANKAR DAS

IPC: G06T1/20 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: One embodiment provides for a method of transmitting data between multiple compute nodes of a distributed compute system, the method comprising creating a global view of communication operations to be performed between the multiple compute nodes of the distributed compute system, the global view created using information specific to a machine learning model associated with the distributed compute system; using the global view to determine a communication cost of the communication operations; and automatically determining a number of network endpoints for use in transmitting the data between the multiple compute nodes of the distributed compute system.