Abstract: Disclosed herein are a logical qubit execution apparatus and method. The logical qubit execution apparatus may be configured to execute, by a logical execution layer, a quantum circuit including requested logical qubits using a lattice surgery operation, generate, by the logical execution layer, measurement results of the logical qubits by combining measurement results of logical Pauli frames, generate, by a physical execution layer, a physical qubit circuit by converting a logical qubit operation corresponding to the measurement results of the logical qubits into a physical qubit operation, and measure, by the physical execution layer, results of an operation on physical Pauli frames by executing the physical qubit circuit.

Abstract: A quantum simulation apparatus according to an embodiment of the present disclosure includes a quantum circuit distributor configured to receive and transfer a plurality of quantum circuits, and a multi-quantum register controller configured to control independent allocation and execution of the input quantum circuits into multi-quantum registers supporting a reduced quantum state space, wherein the multi-quantum register provides the reduced quantum state space with respect to a real quantum state having a physical reality with an amplitude value that is not 0 in a wide-area quantum state space.

Abstract: A quantum computing system according to an embodiment of the present disclosure includes a logical qubit quantum compiler configured to receive a specific quantum code and to output a quantum kernel based on a quantum basic operation command, a logical qubit quantum kernel executor configured to generate a plurality of physical qubit quantum commands based on the quantum kernel, and a physical qubit quantum system configured to receive the physical qubit quantum command and to perform a physical quantum operation.

Abstract: A method and apparatus are disclosed which relate generally to worker-scheduling technology in a serverless cloud-computing environment, and more particularly, to technology that allocates workers for executing functions on a micro-function platform which provides a function-level micro-service. The method and apparatus process a worker allocation task in a distributed manner as two-step pre-allocation schemes before a worker allocation request occurs, and pre-allocates workers required for a service using a function request period and a function execution time, thus minimizing scheduling costs incurred by worker allocation requests.

Abstract: Disclosed herein are an apparatus and method for setting the allocation rate of a parallel-computing accelerator. The method includes monitoring the utilization rate of the parallel-computing accelerator by an application and setting a start point, at which measurement of utilization data to be used for setting the allocation rate of the parallel-computing accelerator for the application is started, using the result of monitoring the utilization rate; setting an end point, at which the measurement of the utilization data is finished, based on the monitoring result; and setting the allocation rate of the parallel-computing accelerator using the utilization data measured during a time period from the start point to the end point.

Abstract: An apparatus and method for executing a function. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors, and the at least one program is configured to determine whether it is possible to reengineer a user function source using interface description language (IDL) code, to generate a reengineered function source by reengineering the user function source, and to execute the reengineered function source.

Abstract: Disclosed herein are an apparatus and method for providing long-term function execution in a serverless environment. The method for providing long-term function execution in a serverless environment is performed by an apparatus for providing long-term function execution in a serverless environment, and includes registering a long-term function execution proxy when a long-term execution request is received from a client, allocating a long-term function executor corresponding to the long-term execution request, executing, by the long-term function execution proxy, a long-term function using the allocated long-term function executor, and storing execution results of the long-term function.

Abstract: An apparatus and method for executing a function. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors, and the at least one program is configured to determine whether it is possible to reengineer a user function source using interface description language (IDL) code, to generate a reengineered function source by reengineering the user function source, and to execute the reengineered function source.

Abstract: A worker-scheduling method in a cloud-computing system and an apparatus for the same. The worker-scheduling method includes performing a first load-distribution operation of pre-creating template workers so as to process worker execution preparation loads in a distributed manner before a worker allocation request for function execution occurs, predicting a number of workers to be pre-allocated in consideration of variation in a worker allocation request period for each function, and performing a second load distribution operation of pre-allocating ready workers by performing worker upscaling on as many template workers as the number of workers to be pre-allocated.

Abstract: Disclosed herein are an apparatus and method for setting the allocation rate of a parallel-computing accelerator. The method includes monitoring the utilization rate of the parallel-computing accelerator by an application and setting a start point, at which measurement of utilization data to be used for setting the allocation rate of the parallel-computing accelerator for the application is started, using the result of monitoring the utilization rate; setting an end point, at which the measurement of the utilization data is finished, based on the monitoring result; and setting the allocation rate of the parallel-computing accelerator using the utilization data measured during a time period from the start point to the end point.

Abstract: Disclosed herein are an apparatus and method for providing long-term function execution in a serverless environment. The method for providing long-term function execution in a serverless environment is performed by an apparatus for providing long-term function execution in a serverless environment, and includes registering a long-term function execution proxy when a long-term execution request is received from a client, allocating a long-term function executor corresponding to the long-term execution request, executing, by the long-term function execution proxy, a long-term function using the allocated long-term function executor, and storing execution results of the long-term function.

Abstract: There are provided a method of providing a dynamic node service and a device using the same. The method of providing a dynamic node service that is operated in a fabric controller includes receiving a dynamic node service request, selecting a plurality of system resources including at least one processing unit from among system resources connected with a fabric switch corresponding to the dynamic node service request, and configuring a dynamic node by connecting the plurality of selected system resources to each other through control of the fabric switch. Therefore, it is possible to provide the dynamic node having performance satisfying a user's request.

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: 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: There are provided a method of providing a dynamic node service and a device using the same. The method of providing a dynamic node service that is operated in a fabric controller includes receiving a dynamic node service request, selecting a plurality of system resources including at least one processing unit from among system resources connected with a fabric switch corresponding to the dynamic node service request, and configuring a dynamic node by connecting the plurality of selected system resources to each other through control of the fabric switch. Therefore, it is possible to provide the dynamic node having performance satisfying a user's request.

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 software reliability test method using selective fault activation, a test area restriction method, a workload generation method and a computing apparatus for testing software reliability using the same. The software reliability test method registers a test target module. The software reliability test method injects a fault into a fault injection target function when a caller of the fault injection target function is included in the registered module, in a case of calling the fault injection target function.

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: Provided are a software reliability test method using selective fault activation, a test area restriction method, a workload generation method and a computing apparatus for testing software reliability using the same. The software reliability test method registers a test target module. The software reliability test method injects a fault into a fault injection target function when a caller of the fault injection target function is included in the registered module, in a case of calling the fault injection target function.

Abstract: A software reliability test system is provided. The software reliability test system includes a fault injection system and a workload generation system. The fault injection system creates a fault injection delegate to inject a fault into software selected as a test target from software of a target system. The workload generation system generates a workload in the selected software according to a control of the fault injection system to allow the fault injection delegate to inject the fault into the selected software.