2009 21st International Symposium on Computer Architecture and High Performance Computing 2009
DOI: 10.1109/sbac-pad.2009.29
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Accelerating Kirchhoff Migration by CPU and GPU Cooperation

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Cited by 25 publications
(9 citation statements)
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“…This article details a previously published study [15] and extends its scope from time migration to time and depth migration.…”
Section: Related Workmentioning
confidence: 93%
“…This article details a previously published study [15] and extends its scope from time migration to time and depth migration.…”
Section: Related Workmentioning
confidence: 93%
“…Panetta et al [11] ported the Kirchhoff Migration on a cluster of GPUs. They used Tesla C1060 GPU which does not have Read-Only Data Cache, so they parallelized the migration with CUDA using global memory without considering to fetch the data from a memory with less access latency.…”
Section: Related Workmentioning
confidence: 99%
“…Additionally, there're many previous works [16][17] [18] taking advantages of CPU overlapping to hide CPU execution. They enlighten us to assign proper tasks to CPU and hide the cost time.…”
Section: Related Workmentioning
confidence: 99%