A Method of Accelerating Seismic Prestack Time Migration Using CPU/MIC Collaborative Computing

Abstract

The invention provides a method for cooperatively computing and accelerating pre-stack time migration of an earthquake by using a CPU (Central Processing Unit) / MIC (Microphone), and relates to the field of high-property computing. According to the method, a CPU and MIC heterogeneous framework is used; a CPU is in charge of performing FFT (Fast Fourier Transform) computing, reading seismic channel data, performing process control and scheduling, and further participating in PSTM (Photon Scanning Tunneling Microscope) computing; the MIC is used for only performing the PSTM computing, and simultaneously performing CPU and MIC cooperative computation and common computation in an asynchronous parallel idea and dynamic load balance manner; and the integrated design comprises the following three aspects: parallel design of a PSTM computation partial serial algorithm, a PSTM integrated logic structural design and a CPU and MIC asynchronous computation design. The method provided by the invention has the beneficial effects that the PSTM properties can be improved by using the CPU / MIC cooperative computation; the building cost and management, operation and maintenance costs of a machine room can be reduced; and the simple realization and the low desired development cost can be realized.

Description

technical field [0001] The invention relates to the field of computer high-performance computing and the field of petroleum seismic exploration, in particular to a method for accelerating seismic pre-stack time migration by using CPU / MIC collaborative calculation. Background technique [0002] Seismic prestack time migration (PSTM for short) has been studied for many years. It was initially applied in the early 1990s, and played an important role in the seismic exploration of many exploration areas in the middle and late stages. After entering this century, it began to be widely used. At present, some processing companies and computing centers have added this technology into the routine processing process as conventional software, and it has become an important step and basis for obtaining amplitude-preserving information to realize attribute analysis, AVO / AVA / AVP inversion and other parameter inversion . [0003] PSTM is one of the most effective methods for imaging comple...

AI Technical Summary

Problems solved by technology

This practice consumes a lot of time, electricity and maintenance costs

Moreover, as people's requirements for the processing cycle of oil exploration seismic data become shorter and higher, the accuracy requirements are higher and higher, and the scale of server clusters is getting bigger and bigger. In terms of system construction costs, data center room space, memory and I / O Bandwidth, power dissipation and power constraints, manageability, ease of programming, scalability, management and maintenance costs, etc. are facing huge challenges

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