Electronics and Telecommunications Research Institute

Baik-Song An

Hong-Yeon Kim

Sang-Min Lee

Myung-Hoon Cha

Kwang-Won Koh

Kang-Ho Kim

Sung-Ik Jun

Byung-gyu Lee

Ki-Dong Kang

Disclosed herein is a method for distributed training of an AI model in a channel-sharing network environment. The method includes determining whether data parallel processing is applied, calculating a computation time and a communication time when input data is evenly distributed across multiple computation devices, and unevenly distributing the input data across the multiple computation devices based on the computation time and the communication time.

Method and apparatus for distributed training of artificial intelligence model in channel-sharing network environment

Disclosed herein are an apparatus and method for page allocation in a many-to-one virtualization environment. The method may include determining whether a page fault interrupt is caused by page initialization for page allocation, sending an ownership change message to a node having ownership of the corresponding page when the page fault interrupt is determined to be caused by page initialization, and initializing the corresponding page upon receiving an ownership-change-processing-complete message.

Apparatus and method for page allocation in many-to-one virtualization environment

Disclosed herein are an apparatus and method for processing fast persistent writing to nonvolatile memory. A method for processing fast persistent writing to a nonvolatile memory includes writing log data from a last storage position in a data block created in a certain size, reflecting the entire data block in a storage medium, increasing the last storage position by a size of the written log data, and reflecting the entire data block in a storage medium, wherein the data block is linearly linked to an additional data block in a creation order, and wherein the data block includes a log data storage region, information about a last storage position where the log data is stored in the log data storage region, and information about a linked next data block.

Apparatus and method for fast persistent writing to nonvolatile memory

Disclosed herein are a hybrid memory management apparatus and method for an many-to-one virtualization environment. The hybrid memory management apparatus is implemented in an inverse-virtualization-based multi-node computing system including multiple physical nodes, each containing hybrid memory in which DRAM and NVRAM coexist, a virtual machine, and hypervisors, and includes memory for storing at least one program, and a processor for executing the program, wherein the program includes a remote request service module for processing a page-related request with reference to the hybrid memory and responding to the page-related request by transmitting a result of processing, an internal request service module for processing an internal page fault request with reference to a hybrid memory and responding to the internal page fault request, and a data arrangement module for responding to an inquiry request for a location at which a newly added page is to be arranged in the hybrid memory.

Hybrid memory management apparatus and method for many-to-one virtualization environment

Disclosed herein are a distributed system and a method for operating the distributed system. The method for operating a distributed system including a server and multiple clients includes acquiring, by a first client of the multiple clients, a lock on a shared resource using a first table of the server and a second table of the client, and releasing, by the first client, a lock on the shared resource using the first table and the second table, wherein the first table is a lock (DSLock) table for storing information about a distributed shared resource, and the second table is a data structure (DSLock_node) table for a lock request.

Distributed system for distributed lock management and method for operating the same

A power capping apparatus including a measurement unit to measure a performance counter value and a used amount of power of the computing system before a power limit value is set. A calculation unit to calculate an energy reference value used in an energy conservation mode using the used amount of power and the performance counter value. A management unit to compare a first used amount of power measured before a power limit value is set with the power limit value when the power limit value is set, and limit the used amount of power to a value below the power limit value when the first used amount of power is greater than the power limit value, wherein the management unit outputs an error message so that a user sets the power limit value in which the energy reference value is within an effective range in the energy conservation mode.

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Seoul, South Korea

Baik-Song An