公开(公告)号：US20250168368A1

公开(公告)日：2025-05-22

申请号：US18949892

申请日：2024-11-15

Applicant: DeepMind Technologies Limited

Inventor： Emilien Dupont ,  Hyun Jik Kim ,  Matthias Stephan Bauer ,  Lucas Marvin Theis

IPC: H04N19/189 ,  H04N19/119 ,  H04N19/124 ,  H04N19/167 ,  H04N19/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for encoding input data comprising input data values corresponding to respective input data grid points of an input data grid, such as image, video or audio data.

公开(公告)号：US20250147810A1

公开(公告)日：2025-05-08

申请号：US18936711

申请日：2024-11-04

Applicant: DeepMind Technologies Limited

Inventor： Bernardino Romera-Paredes ,  Alexander Novikov ,  Mohammadamin Barekatain ,  Matej Balog ,  Pawan Kumar Mudigonda ,  Emilien Dupont ,  Francisco Jesus Rodriguez Ruiz ,  Alhussein Fawzi

IPC: G06F9/50

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for scheduling jobs across a plurality of computational resources. Scheduling jobs (e.g., compute jobs) on a plurality of computational resources (e.g., a cluster that includes physical machines, virtual machines or both) can include assigning jobs to computational resources using respective scores for the computational resources that take into account several attributes, including central processing unit (CPU) requirements, memory requirements, and availability. That is, by generating a score that more accurately reflects the likelihood that a given computational resource is the optimal computational resource to place a given job, the resulting job schedule significantly minimizes idle time of the set of computational resources and enhances the throughput of completed jobs.