What is High Performance Computing?
High performance computing, abbreviated as HPC, is a technical science that utilizes the theory, method, technology and application of supercomputers to realize parallel computing. The scope of research in this field includes parallel computing models, parallel programming models, parallel execution models, parallel adaptive frameworks, parallel architectures, parallel network communications, and parallel algorithm design.
In addition, high-performance computing can also refer to computing systems and environments that typically use many processors (as part of a single machine) or several computers organized in a cluster (operating as a single computing resource). It connects multiple computer systems together through various Internet technologies, and uses the comprehensive computing power of all connected systems to deal with large-scale computing problems, so it is often called a high-performance computing cluster.
Applications running on high-performance clusters generally use parallel algorithms to divide a large common problem into many small sub-problems according to certain rules, and perform calculations on different nodes in the cluster, and the processing results of these small problems, after The processing can be merged into the final result of the original problem. Since the calculation of these small problems can generally be done in parallel, the processing time of the problem can be shortened.
The main purpose of building a high-performance computing system is to increase the computing speed, to achieve a computing speed of trillions per second. (such as Tianhe No. 1 supercomputer) This type of cluster mainly solves the calculation of large-scale scientific problems and the processing of massive data, such as scientific research, weather forecast, computational simulation, military research, CFD/CAE, biopharmaceuticals, gene sequencing, image processing and many more.
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