Samsung Electronics Co., Ltd.

In Choon Yeo

Seung Wook Lee

Kyoung Hoon Kim

Joong Baik Kim

Jeong Ig Song

Il Ho Lee

Myung Sun Kim

Sang-Bok Han

Jin Kyu Koo

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.

Method and apparatus for compiling and executing an application using virtualization in a heterogeneous system

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.

Memory management method and apparatus

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.

Method and apparatus for dynamic resource allocation of processing units on a resource allocation plane having a time axis and a processing unit axis

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.

Growing community of inventors

Suwon-si, South Korea

In Choon Yeo