3D Kirchhoff depth migration algorithm: A new scalable approach for parallelization on multicore CPU based cluster

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• 作者：Richa Rastogi ; ^{richar@cdac.in} ; Ashutosh Londhe ; Abhishek Srivastava ; Kirannmayi M. Sirasala ; Kiran Khonde
• 刊名：Computers & Geosciences
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：100
• 期：Complete
• 页码：67-75
• 全文大小：1507 K
• 卷排序：100

文摘

Enhancement of parallel 3D Kirchhoff migration algorithm on multicore CPU cluster. Traveltime computations using Flexi-Trace iterations has accelerated performance. Speedup achieved for prestack data is 49.05X with 76.64% efficiency on 64 nodes. Performance gain of 57.5X for prestack data on 64 nodes over previous algorithm. New parallelization strategy exhibits bettered MPI node scalability & performance.