Samsung Electronics Co., Ltd.

Sangbok Han

Jongchul Park

Kyounghoon Kim

Hyunsik Kim

Myungsun Kim

Jinkyu Koo

Hyojeong Lee

Kwonsik Kim

Sunho Moon

Seyoun Lim

Chungsuk Han

Sihoon Song

Donghyun Lee

Sangmin Kim

Hyuncheol Park

Gyeonghoon Kim

Kyungwan Han

Guyeon Wei

Jonghun Lee

Seonjae Kim

Jinsae Jung

Changhoon Lee

Haksup Song

Junguk Cho

Isak Choi

An electronic apparatus may include a memory, and a processor configured to perform an operation between a first index data and a second index data corresponding to a first data set and a second data set, respectively, to acquire first output data; identify a sparsity ratio of the first output data; based on the sparsity ratio exceeding the threshold value, determine a first method of processing the first data set and the second data set using the first data set and the second data set, as an operation method of the electronic apparatus; and based on the sparsity ratio being equal to or less than the threshold value, identify valid data included in the first index data and the second index data, and determine a second method of processing the first data set and the second data set using the valid data, as the operation method of the electronic apparatus.

Electronic apparatus and control method thereof

Provided are a method and electronic device for inferring an object in an image using a convolutional neural network (CNN) model. The method includes including: identifying a first region of interest in a first frame in the moving image, and a first object in the first region of interest, by providing the first frame to convolution layer groups sequentially connected in the CNN model, identifying a second region of interest in a second frame, the second region of interest corresponding to the first region of interest, and the second frame being after the first frame, providing the second region of interest to the CNN model, and obtaining first output data output from a first convolution layer group from among the convolution layer groups, and determining whether to identify a second object in the second region of interest by using a second convolution layer group, based on the first output data.

Electronic device and method of inferring object in image

A processor is provided. The processor includes a plurality of processing elements configured to be arranged in a matrix form, and a controller configured to control the plurality of processing elements during a plurality of cycles to process a target data, control first processing elements so that each of the first processing elements operates data provided from adjacent first processing elements and the input first element and inputs each of second elements included in a second row among the plurality of elements to second processing elements arranged in the second row among the plurality of processing elements, control the second processing elements so that each of the second processing elements operates data provided from adjacent second processing elements and the input second element, and operates data provided from the adjacent first processing elements in the same column among the first processing elements and pre-stored operation data.

Processor element matrix performing maximum/average pooling operations

An electronic apparatus for managing data based on a block chain and a method therefor are provided. The electronic apparatus includes a communication interface, a memory, and a processor to receive a request for accessing data from an authenticated user, generate first block information regarding the request by including information on the request and at least one second block information related to the request from among a plurality of second block information stored in the memory, transmit the generated first block information to at least one of a plurality of external apparatuses constituting a block chain, and update the plurality of second block information stored in the memory based on the generated first block information. The plurality of second block information includes information on a block regarding a latest access history by category among a plurality of blocks included in block chain data shared by the plurality of external apparatuses.

Electronic apparatus managing data based on block chain and method for managing data

Disclosed are an electronic device and a data compression method thereof. According to a data compression method of an electronic device of the present invention, the method comprises the steps of: compressing a page; determining whether data included in the compressed page is stored in a memory; and merging the compressed page with data previously stored in the memory when a result of the determination shows that the data included in the compressed page is the same as the previously stored data. Therefore, the electronic device can prevent a page including the same or similar data from being stored a multiple number of times in a swap area, thereby raising memory securing efficiency.

Electronic device and data compression method thereof

Provided are an electronic device and a page merging method therefor. The electronic device may include: a memory manager that initializes pages and determines a page as a target to be merged if the page is initialized to a preset specific value; and a memory for merging multiple pages determined as a target to be merged and storing the merged page. The electronic device can determine whether to merge pages with a small amount of computation and merge the pages according to the determination result. Hence, the electronic device can manage the memory in an efficient manner.

Electronic device and page merging method therefor

An application execution method for improving the operation speed of the application in executing or in the middle of running the application is provided. The application execution method includes detecting a launch of an application, preloading Input/Outputs (I/Os) requested at the launch based on profile data with I/Os requested at a previous launch of the application, and updating the profile data based on at least one of the I/Os requested at current and previous launches of the application.

Apparatus and method for improving operation speed of application

Execution method and apparatus

Provided are a method and apparatus for task scheduling based on hardware. The method for task scheduling in a scheduler accelerator based on hardware includes: managing task related information based on tasks in a system; updating the task related information in response to a request from a CPU; selecting a candidate task to be run next after a currently running task for each CPU on the basis of the updated task related information; and providing the selected candidate task to each CPU. The scheduler accelerator supports the method for task scheduling based on hardware.

Apparatus and method for hardware-based task scheduling

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Suwon-si, South Korea

Sangbok Han