Abstract: Various example embodiments of the disclosure relate to an electronic device and a wireless communication connection control method thereof.

Abstract: The present disclosure relates to a method for screening a colorectal cancer inhibitor and, more specifically, to a method for screening a colorectal cancer inhibitor wherein a material increasing a binding level of ICAM-1 to SRC is selected as a therapeutic material. In the present disclosure, ICAM-1 is identified to regulate cancer metastasis and angiogenesis in an SRC-dependent manner, thereby exhibiting that ICAM-1 can be a potential target factor for developing a colorectal cancer therapeutic agent. Accordingly, a colorectal cancer therapeutic agent employing the target factor screened by the method of the present disclosure can increase the therapeutic effect for colorectal cancer patients.

Abstract: Disclosed herein are a parameter server and a method for sharing distributed deep-learning parameters using the parameter server. The method for sharing distributed deep-learning parameters using the parameter server includes initializing a global weight parameter in response to an initialization request by a master process; performing an update by receiving a learned local gradient parameter from the worker process, which performs deep-learning training after updating a local weight parameter using the global weight parameter; accumulating the gradient parameters in response to a request by the master process; and performing an update by receiving the global weight parameter from the master process that calculates the global weight parameter using the accumulated gradient parameters of the one or more worker processes.

Abstract: Disclosed herein are a parameter server and a method for sharing distributed deep-learning parameters using the parameter server. The method for sharing distributed deep-learning parameters using the parameter server includes initializing a global weight parameter in response to an initialization request by a master process; performing an update by receiving a learned local gradient parameter from the worker process, which performs deep-learning training after updating a local weight parameter using the global weight parameter; accumulating the gradient parameters in response to a request by the master process; and performing an update by receiving the global weight parameter from the master process that calculates the global weight parameter using the accumulated gradient parameters of the one or more worker processes.

Abstract: Disclosed herein are a parameter server and a method for sharing distributed deep-learning parameters using the parameter server. The method for sharing distributed deep-learning parameters using the parameter server includes initializing a global weight parameter in response to an initialization request by a master process; performing an update by receiving a learned local gradient parameter from the worker process, which performs deep-learning training after updating a local weight parameter using the global weight parameter; accumulating the gradient parameters in response to a request by the master process; and performing an update by receiving the global weight parameter from the master process that calculates the global weight parameter using the accumulated gradient parameters of the one or more worker processes.

Abstract: Disclosed are a binder composition for bar-shaped solid foods, and a bar-shaped solid food including the binder composition for bar-shaped solid foods. The disclosed binder composition for bar-shaped solid foods includes cellulose ether and saccharides.

Abstract: Disclosed herein are an apparatus and method for interfacing with common memory. The apparatus for interfacing with common memory includes a computer-input/output (I/O)-interface-protocol-processing unit for receiving a packet for accessing common memory from a computer; a direct memory access unit for transforming the packet into an instruction for performing any one of reading from and writing to the common memory; and a common memory interface unit for transmitting the instruction to the common memory and receiving information about whether execution of the instruction is completed from the common memory.

Abstract: A parameter-sharing apparatus includes a memory allocation unit for managing allocation of a memory area, in which a parameter is to be stored, to a memory box, and updating a mapping table stored in the memory box based on allocation management of the memory area, and an operation processing unit for providing the memory allocation unit with parameter information required for the allocation management of the memory area in which the parameter is to be stored and sharing the parameter stored in the memory box.

Abstract: Disclosed herein are an apparatus and method for interfacing with common memory. The apparatus for interfacing with common memory includes a computer-input/output (I/O)-interface-protocol-processing unit for receiving a packet for accessing common memory from a computer; a direct memory access unit for transforming the packet into an instruction for performing any one of reading from and writing to the common memory; and a common memory interface unit for transmitting the instruction to the common memory and receiving information about whether execution of the instruction is completed from the common memory.

Abstract: Disclosed herein are a parameter server and a method for sharing distributed deep-learning parameters using the parameter server. The method for sharing distributed deep-learning parameters using the parameter server includes initializing a global weight parameter in response to an initialization request by a master process; performing an update by receiving a learned local gradient parameter from the worker process, which performs deep-learning training after updating a local weight parameter using the global weight parameter; accumulating the gradient parameters in response to a request by the master process; and performing an update by receiving the global weight parameter from the master process that calculates the global weight parameter using the accumulated gradient parameters of the one or more worker processes.

Abstract: Disclosed herein are an apparatus and method for sharing memory between computers. The apparatus for sharing memory between computers includes multiple memory adapters, installed in corresponding ones of multiple computers, for receiving an address corresponding to an instruction from the computers and transforming the received address into an instruction in the form of a packet; and shared memory for transforming the instruction in the form of the packet, received from the multiple memory adapters, into an address and performing an operation corresponding to the instruction for a memory cell corresponding to the address.

Abstract: Disclosed herein are a parameter-sharing apparatus and method. The parameter-sharing apparatus includes a memory allocation unit for managing allocation of a memory area, in which a parameter is to be stored, to a memory box, and updating a mapping table stored in the memory box based on allocation management of the memory area, and an operation processing unit for providing the memory allocation unit with parameter information required for the allocation management of the memory area in which the parameter is to be stored and sharing the parameter stored in the memory box.

Abstract: Provided herein is a method for dynamic operating of a multi-attribute memory cache based on a distributed memory integration framework, the method including setting a predetermined memory area to be divided into a first area and a second area; in response to obtaining information from the cache client on a request for a service to transceive data regarding the predetermined file, determining a type of a function that the cache client requested; and in response to determining that the cache client requested a cache function, specifying the first area as an area to be used by the cache client for data transceiving regarding the predetermined file, and in response to determining that the cache client requested a storing function, specifying the second area as an area to be used by the cache client for data transceiving regarding the predetermined file.

Abstract: The present invention relates to technology for providing a remote memory, and more particularly, to a system for providing a remote memory which may enable an application in a high performance computing system to use a physical memory of a remote computing node like a local memory of a computing node in which the corresponding application is executed, and a temporary page pool operating method for providing a remote memory.

Abstract: Provided is a rice dough composition and a rice dough prepared therefrom. The rice dough composition includes rice flour, cellulose ether, gums, and emulsifier. The rice dough composition may be used to prepare a rice dough that may be eaten by people sensitive to gluten and has a mouthfeel different from a rice dough obtained from wheat flour. When the rice dough is re-cooked by heating after being stored in a frozen state, evaporation of water is inhibited and mouthfeel changes due to a hardening phenomenon may be reduced.

Abstract: Disclosed herein are a resource manager node and a resource management method. The resource manager node includes a resource management unit, a resource policy management unit, a shared resource capability management unit, a shared resource status monitoring unit, and a shared resource allocation unit. The resource management unit performs an operation necessary for resource allocation when a resource allocation request is received. The resource policy management unit determines a resource allocation policy based on the characteristic of the task, and generates resource allocation information. The shared resource capability management unit manages the topology of nodes, information about the capabilities of resources, and resource association information. The shared resource status monitoring unit monitors and manages information about the status of each node and the use of allocated resources. The shared resource allocation unit sends a resource allocation request to at least one of the plurality of nodes.

Abstract: Disclosed is a software architecture supporting a large-capacity collective memory layer in a multi-node system by using a remote direct memory access technique and a software virtualization technique and a computing system performing computing processing by using the architecture. In particular, provided is a software architecture including: a memory region managing module collectively managing a predetermined memory region of a node, a memory service providing module providing a large-capacity collective memory service to a virtual address space in a user process, and a memory sharing support module supporting sharing of the large-capacity collective memory of the multi-node system.

Abstract: Disclosed is an apparatus for processing a remote page fault included in an optional local node within a cluster system configuring a large integration memory (CVM) by integrating individual memories of a plurality of nodes. The apparatus includes a memory including a CVM-map, a node memory information table, a virtual memory area, and a CVM page table, and a main controller mapping the large integration memory to an address space of a process when a user process requests memory allocation.

Abstract: Provided are a low fat mayonnaise composition to which cellulose ether is applied, and a method of producing the same, in which the low fat mayonnaise composition includes 50 wt % or less of an emulsion with respect to the total weight of the composition, and cellulose ether and an excipient as a fat substitute. Therefore, with the mayonnaise composition, low fat mayonnaise which includes an oil and fat content of ½ or less may be produced from only a vegetable material having phase stability at various temperatures without using eggs which may lead to an allergy and may serve as a primary source of increasing cholesterol.

Abstract: The present invention relates to a processed meat product (sausage and ham) having no added phosphate, which is a harmful ingredient to humans and is used in processes for producing processed meat products, and to a method for producing same. According to the present invention, the pH of ground raw meat is raised to increase the water retention thereof, and a basic pH control agent, alone or combined with a hydrocolloid, is used as a substituting means for phosphate in order to improve syneresis and texture. According to the present invention, a processed meat product having added phosphate may be provided having improved quality without including phosphate.