Samsung Electronics Co., Ltd.

Dong-Uk Ryu

Jaewon Lee

Seongbeom Kim

Sungduk Cho

Janghyuk An

Wonik Seo

Ruth Kim

Embodiments may relate to processing an access request to a memory. The access request to the memory may be based on a first virtual memory address. If a first physical memory address corresponding to the first virtual memory address is determined to be not acquired (e.g., based on a page table), it may be determined whether the first virtual memory address is a valid address. If the first virtual memory address is a valid address, a target virtual memory space or a target physical memory space for the access request may be allocated based on a free memory pool for the target kernel. The free memory pool may include currently allocated virtual and/or physical memory. The access request may be processed based on the allocated target virtual memory space or target physical memory space.

Method and device with memory access request processing

An apparatus includes a memory configured to store data, and a processor. The processor configured to determine whether an access to the data is a local memory access; determine, based on a result of the determination of whether the access to the data is the local memory access, whether a page fault of the access occurred; determine, based on a result of the determination of whether the page fault occurred, whether the access is a remote access outside a socket; and perform, based on a result of the determination of whether the access is the remote access, the access to the data by copying the data onto a local memory.

Apparatus and method with remote page access

A method and apparatus for managing a unified virtual memory (UVM) are provided. The UVM is backed by a main processor memory and a coprocessor memory, and the method includes: checking properties of data blocks of the UVM used to execute a deep learning model; based on a first of the data blocks storing weight data of the deep learning model, storing the first data block in the main processor memory among the main processor memory and the coprocessor memory; and performing an operation of the deep learning model based on the first data block using a coprocessor while directly loading at least a portion of the first data block from the main processor memory into a cache memory of the coprocessor without migration of the first data block from the main processor memory to the coprocessor memory.

Method and apparatus for managing unified virtual memory by preventing migration of deep learning model's weight from processor memory to coprocessor memory

An electronic device including a processor and a sensor may be provided. The processor obtains a first degree of degradation of a first core based on a first parameter value associated with a lifetime of the first core and a first operating level associated with an operation of the first core. The processor obtains a second degree of degradation of a second core based on a second parameter value associated with a lifetime of the second core and a second operating level associated with an operation of the second core. The processor schedules a task of the first core and the second core based on the first degree of degradation and the second degree of degradation. The sensor provides the first parameter value and the first operating level to the first core and the second parameter value and the second operating level to the second core.

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Seongnam-si, South Korea

Dong-Uk Ryu