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This article mainly introduces what the isomerization capabilities of igpu are, which are very detailed and have certain reference value. Friends who are interested must finish reading them.

Igpu heterogeneous computing capabilities: 1, heterogeneous computing, so that the increasingly powerful integrated GPU through heterogeneous computing technology to assist CPU computing; 2, compared with serial computing, parallel computing can be divided into time parallelism and spatial parallelism; 3, to minimize the execution time of computing tasks.

Igpu isomerization capabilities:

1. Heterogeneous computing, which makes the increasingly powerful converged GPU use heterogeneous computing technology to assist CPU to calculate, that is to say, the proportion of GPU computing is increasing, and the software depends more on GPU. For example, the DX12 software that is often used in playing games can quickly double the performance of using DX12 and not using it under the game.

2. Compared with serial computing, parallel computing can be divided into temporal parallel and spatial parallel. Time parallelism is pipelined technology. Spatial parallelism uses multiple processors to perform concurrent computing. The current research is mainly focused on spatial parallelism. From the perspective of programmers and algorithm designers, parallel computing can be divided into data parallelism and task parallelism. Data parallelism decomposes a large task into several identical subtasks, which is easier to deal with than parallel tasks.

3. The ultimate goal it pursues is to make the execution of computing tasks in the shortest time.

Extended data:

(1) heterogeneous computing technology came into being in the mid-1980s, because it can economically and effectively obtain high-performance computing power, good scalability, high utilization of computing resources and great potential for development. at present, it has become one of the research hotspots in the field of parallel / distributed computing. The author also emphasizes some aspects that should be paid attention to in the future research of heterogeneous computing.

(2) with the rapid development of communication and network technology, the concept of network computing came into being. Homogeneous network computing system now or cow first sprang up, and then heterogeneous network computing systems emerged quickly, which makes heterogeneous computing one of the main research hotspots in the field of parallel / distributed computing in recent years.

(3) parallel computing on heterogeneous computing systems is usually called heterogeneous computing. Heterogeneous computing has been defined from different angles. To sum up, we give the following definition: heterogeneous computing is a special form of parallel and distributed computing, which uses either a single independent computer that can support both simd and mimd mode, or a group of independent computers interconnected by high-speed networks to complete computing tasks. It can coordinate the use of different machines with different performance and structure to meet different computing requirements, and enable code (or code snippets) to be executed in a way that maximizes overall performance.

(4) the computing resources it uses have many types of computing power, such as simd, mimd, vector, scalar, special purpose, etc.

(5) it needs to identify the parallelism requirements of each subtask in the computing task.

(6) it needs to make computing resources with different computing types run harmoniously with each other.

(7) it should develop not only the parallelism in the application problem, but also the heterogeneity in the application problem, that is, to pursue the matching between the computing type of the computing resource and the type of task (or subtask) it performs.

These are all the contents of this article entitled "what are the heterogeneous capabilities of igpu?" Thank you for reading! Hope to share the content to help you, more related knowledge, welcome to follow the industry information channel!

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