公开(公告)号：US20200379814A1

公开(公告)日：2020-12-03

申请号：US16425878

申请日：2019-05-29

Applicant: Advanced Micro Devices, Inc.

Inventor： Sergey Blagodurov ,  Abhinav Vishnu ,  Thaleia Dimitra Doudali ,  Jagadish B. Kotra

IPC: G06F9/50 ,  G06N3/04 ,  G06K9/62

Abstract: Techniques for scheduling resources on a managed computer system are provided herein. A generative adversarial network generates predicted resource utilization. An orchestrator trains the generative adversarial network and provides the predicted resource utilization from the generative adversarial network to a resource scheduler for usage when the quality of the predicted resource utilization is above a threshold. The quality is measured as the ability of a generator component of the generative adversarial network to “fool” a discriminator component of the generative adversarial network into misclassifying the predicted resource utilization as being real (i.e., being of the type that is actually measured from the computer system).

公开(公告)号：US12174742B2

公开(公告)日：2024-12-24

申请号：US16220462

申请日：2018-12-14

Applicant: ADVANCED MICRO DEVICES, INC.

Inventor： Sergey Blagodurov ,  Thaleia Dimitra Doudali ,  Amin Farmahini Farahani

IPC: G06F12/08 ,  G06F3/044 ,  G06F12/0862 ,  G06F12/1009 ,  G06F12/127 ,  G06N3/045

Abstract: A computer processing system having a first memory with a first set of memory pages resident therein and a second memory coupled to the first memory. A resource tracker provides information to instances of a long short-term memory (LSTM) recurrent neural network (RNN). A predictor identifies memory pages from the first set of memory pages for prediction by the one or more LSTM RNN instances. The system groups the memory pages of the identified plurality of memory pages into a number of patterns based on a number of memory accesses per time. An LSTM RNN instance predicts a number of page accesses for each pattern. A second set of memory pages is selected for moving from the first memory to the second memory.