Abstract: The present disclosure relates to a method for analyzing a malicious code by an electronic device, the method comprising the steps of: receiving an executable file; before the received executable file is installed, analyzing the executable file so as to collect suspected malicious code data from the executable file; normalizing the collected suspected malicious code data and analyzing the same on the basis of a probability model algorithm, so as to make a determination on the suspected malicious code data; and outputting the result of the determination.

Abstract: A method and apparatus for compiling and executing an application including Central Processing Unit (CPU) source code and Graphic Processing Unit (GPU) source code. The apparatus includes a hardware device including a CPU and a GPU; a compiler that compiles the GPU source code into a GPU virtual instruction; and a hybrid virtualization block that executes an execution file by translating the GPU virtual instruction into GPU machine code.

Abstract: A method for managing memory using a virtual memory manager includes receiving a memory allocation request, allocating memory of a physical address space in response to the memory allocation request, mapping an address value of the memory allocated in the physical address space to consecutive primary virtual address space, and mapping the address value of the primary virtual address space to one of a first and second secondary virtual address spaces to process a new memory allocation request in a situation where memory a fragmentation occurs. Other embodiments are also disclosed. The methods and apparatuses of the present disclosure are capable of moving active memory blocks of the fragmented virtual memory space to another virtual memory space to resolve the memory fragmentation even when a memory fragmentation occurs.

Abstract: A method and apparatus for dynamic resource allocation in a system having at least one processing unit are disclosed. The method of dynamic resource allocation includes receiving information on a task to which resources are allocated and partitioning the task into one or more task parallel units; converting the task into a task block having a polygonal shape according to expected execution times of the task parallel units and dependency between the task parallel units; allocating resources to the task block by placing the task block on a resource allocation plane having a horizontal axis of time and a vertical axis of processing units; and executing the task according to the resource allocation information. Hence, CPU resources and GPU resources in the system can be used in parallel at the same time, increasing overall system efficiency.

Abstract: A virtualization system for supporting at least two operating systems and resource allocation method of the virtualization system are provided. The method includes allocating resources to the operating systems, calculating, when one of the operating systems is running, workloads for each operating system, and adjusting resources allocated to the operating systems according to the calculated workloads. The present invention determines the workloads of a plurality of operating systems running in the virtualization system and allocates time resources dynamically according to the variation of the workloads.

Abstract: A method for managing memory using a virtual memory manager includes receiving a memory allocation request, allocating memory of a physical address space in response to the memory allocation request, mapping an address value of the memory allocated in the physical address space to consecutive primary virtual address space, and mapping the address value of the primary virtual address space to one of a first and second secondary virtual address spaces to process a new memory allocation request in a situation where memory a fragmentation occurs. Other embodiments are also disclosed. The methods and apparatuses of the present disclosure are capable of moving active memory blocks of the fragmented virtual memory space to another virtual memory space to resolve the memory fragmentation even when a memory fragmentation occurs.

Abstract: The present invention relates to a terminal and a method for executing an application in the same, including the steps of: confirming the weight of the application when a code of the application to be executed is inputted; calculating an allocation index using the confirmed weight; selecting a processing device for executing the application between a central processing unit and a graphics processing unit through the calculated application index; and executing the application through the selected processing device. Accordingly, the present invention determines whether the execution of the application is assigned to the central processing unit or the graphics processing unit according to the weight designated by the user. Thus, the present invention can prevent the tipping effect of the workload only to one processing unit which is caused by an increase in the degree of freedom for the workload distribution.

Abstract: An apparatus and a method for allocating interrupts in a multi-core system are provided. According to an embodiment, an interrupt control register unit records the interrupt processing capacity of each core of a multi-core system by receiving an interrupt, and checking the interrupt control register unit when receiving the interrupt and allocating the interrupt to a core which has been checked to be in an interrupt processing enabled state in the checking step. When the core is allocating the interrupt, the core transmits, to the interrupt control register unit, a signal representing the interrupt control register corresponding to the core which is changed to an interrupt processing disabled state, and can process the interrupt.

Abstract: A method and apparatus for dynamic resource allocation in a system having at least one processing unit are disclosed. The method of dynamic resource allocation includes receiving information on a task to which resources are allocated and partitioning the task into one or more task parallel units; converting the task into a task block having a polygonal shape according to expected execution times of the task parallel units and dependency between the task parallel units; allocating resources to the task block by placing the task block on a resource allocation plane having a horizontal axis of time and a vertical axis of processing units; and executing the task according to the resource allocation information. Hence, CPU resources and GPU resources in the system can be used in parallel at the same time, increasing overall system efficiency.

Abstract: A method and apparatus for compiling and executing an application including Central Processing Unit (CPU) source code and Graphic Processing Unit (GPU) source code. The apparatus includes a hardware device including a CPU and a GPU; a compiler that compiles the GPU source code into a GPU virtual instruction; and a hybrid virtualization block that executes an execution file by translating the GPU virtual instruction into GPU machine code.

Abstract: A virtualization system for supporting at least two operating systems and resource allocation method of the virtualization system are provided. The method includes allocating resources to the operating systems, calculating, when one of the operating systems is running, workloads for each operating system, and adjusting resources allocated to the operating systems according to the calculated workloads. The present invention determines the workloads of a plurality of operating systems running in the virtualization system and allocates time resources dynamically according to the variation of the workloads.