Parallel application optimizing method for multinuclear cloud computing platform

Abstract

The invention discloses a parallel application optimizing method for a multinuclear cloud computing platform, which comprises: multiple application nodes are allocated to the parallel application from the multiple nodes forming the multinuclear cloud computing platform, multiple central processing unit (CPU) cores are respectively allocated to the parallel application at each application node, and the threads are respectively started on the allocated multiple CPU cores; a main communication group is established for the parallel application and comprises the first threads of the multiple threads on each application node allocated to the parallel application; a subcommunication group is established for each application node and comprises the multiple threads started for the parallel application on the corresponding application node; the application communication data of the parallel application is divided to obtain multiple data blocks; the first threads in the multiple threads in the main communication group broadcast the multiple data blocks to the rest threads in the main communication group; and the first threads in the multiple threads in each subcommunication group broadcast the multiple data blocks to the rest threads in the subcommunication group.

Description

technical field [0001] The invention relates to a parallel application optimization method, in particular to a parallel application optimization method on a multi-core cloud computing platform. Background technique [0002] In the past 30 years, under the impetus of Moore's Law, the CPU (Central Processing Unit, central processing unit) speed has doubled almost every two years. factor. However, due to power consumption reasons, the main frequency increase has become insufficient. When the processor frequency reaches its limit, a popular way to improve performance is to add more processors, typically early SMP (Symmetrical Multi-Processing, symmetric multi-processing) technology, adding more processors To form a multi-core computing platform on the motherboard, or cluster multiple independent computers together to form a cloud computing platform. Generally, each of multiple independent computers constituting the cloud computing platform is called a node. Recently, CMP (Ch...

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Problems solved by technology

[0008] Although the above-mentioned methods can improve the performance of parallel applications to a certain extent, they are highly correlated with specific applications, have poor general applicability, and have limited performance improvement for multi-core cloud computing platforms.

[0009] In addition, there is currently a method for parallel application optimization of multi-core cloud computing platforms from the operating system layer, but research shows that this method has the problems of complex implementation and poor practicability

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