Premium
Accelerating Pre‐stack Kirchhoff Time Migration by Manual Vectorization
Author(s) -
Melo Alves Maicon,
Cruz Pestana Reynam,
Alves Prado da Silva Rodrigo,
Drummond Lúcia M. A.
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3935
Subject(s) - compiler , vectorization (mathematics) , simd , computer science , parallel computing , code (set theory) , stack (abstract data type) , set (abstract data type) , process (computing) , programming language , computational science
Summary The Pre‐stack Kirchhoff Time Migration (PKTM) is a central process in petroleum exploration. As PKTM is computationally intensive, many works have proposed the use of accelerators like GPU and FPGA to improve its execution time. On the other hand, although many off‐the‐shelf processors are endowed with a set of SIMD vector instructions, few papers tackle the problem considering vectorization and all of them consider that compilers can successfully vectorize the code. In this paper, we show that programming PKTM by using SIMD vector instructions manually is more efficient than the automatically and semi‐automatically vectorized codes, provided by a hardware specific compiler and library. Experiments considering both real and synthetic datasets showed that our solution is more than four times faster than the traditional code. It also outperformed automatically vectorized codes in all tests. We believe that the proposed strategy can be used together with the other ones to accelerate seismic migration methods in general without new investments in hardware. Copyright © 2016 John Wiley & Sons, Ltd.