公开(公告)号：US20250103544A1

公开(公告)日：2025-03-27

申请号：US18898354

申请日：2024-09-26

Applicant: Beijing Zitiao Network Technology Co., Ltd.

Inventor： Qianjun XIE ,  Jingyi ZHANG ,  Xiangliang CHEN ,  Xiongshan AN ,  Shijian GE ,  Yongsu ZHANG ,  Yu ZHANG ,  Jian WANG

IPC: G06F13/16

Abstract: Embodiments of the disclosure provide a method, an apparatus, a device, and a storage medium for resource configuration. The method includes obtaining an indication for the number of nodes of a NUMA node of a processor socket; dividing acceleration resources of an accelerator into at least one acceleration resource queue based on the number of nodes; and by associating the at least one acceleration resource queue to a respective NUMA node included in the processor socket, causing a plurality of processor cores divided into the respective NUMA node to use the at least one acceleration resource queue based on the association. Thus, the availability of the accelerator may be improved.

公开(公告)号：US20250103549A1

公开(公告)日：2025-03-27

申请号：US18896789

申请日：2024-09-25

Applicant: Beijing Zitiao Network Technology Co., Ltd.

Inventor： Yunfeng SHI ,  Hangjian YUAN ,  Tao LI ,  Jing XING ,  Jian WANG

IPC: G06F15/78

Abstract: At least one embodiment of the present disclosure provides a data processing method and apparatus for a processor, a processor, an electronic device and a storage medium, and the processor includes at least one computing core. The data processing method includes: obtaining a configuration space for a target parameter; obtaining a computational time model of the processor, the computational time model is a function of the target parameter and number of computing cores of the processor; traversing the target parameter in the configuration space, and calculating, based on the computational time model, a computational time corresponding to the target parameter that is selected; in response to the target parameter being a k-th parameter with a minimum computational time, determining the target parameter as the k-th parameter; and using the k-th parameter to configure a computational size of each computing core in the at least one computing core.