2011Unpublished venueRequires access

An Approach to Optimise the Execution of RTM Algorithm in Multicore Machines

Alexandre C. Sena, Aline P. Nascimento, Cristina Boeres, Vinod E. F. Rebello, André Bulcão

Open publisher page 11 citations

Abstract

The new oil fields discovered in the Gulf of Mexico and in Brazil's southeast coast are located in deep water, which imposes new challenges for sub salt seismic imaging. To produce sufficient accurate imaging of such fields, the compute intensive RTM method is the currently favoured approach, despite its high computational cost. This work evaluates the RTM code in multicore machines and proposes a new version that is more than 2.4 faster than the original. Besides, how the memory hierarchy is utilised has a crucial impact on the performance of the code. This article also presents an innovative approach to calculate efficient block values for a better memory utilisation on multicore archictetures.

About this research paper

What this paper is about

The new oil fields discovered in the Gulf of Mexico and in Brazil's southeast coast are located in deep water, which imposes new challenges for sub salt seismic imaging. To produce sufficient accurate imaging of such fields, the compute intensive RTM method is the currently favoured approach, despite its high computational cost. This work evaluates the RTM code in multicore machines and proposes a new version that is more than 2.4 faster than the original. Besides, how the memory hierarchy is utilised has a crucial impact on the performance of the code. This article also presents an innovative approach to calculate efficient block values for a better memory utilisation on multicore archictetures.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The new oil fields discovered in the Gulf of Mexico and in Brazil's southeast coast are located in deep water, which imposes new challenges for sub salt seismic imaging. To produce sufficient accurate imaging of such fields, the compute intensive RTM method is the currently favoured approach, despite its high computational cost. This work evaluates the RTM code in multicore machines and proposes a new version that is more than 2.4 faster than the original. Besides, how the memory hierarchy is utilised has a crucial impact on the performance of the code. This article also presents an innovative approach to calculate efficient block values for a better memory utilisation on multicore archictetures.

Key concepts: Multi-core processor, Memory hierarchy, Computer science, Block (permutation group theory), Hierarchy, Code (set theory), Parallel computing, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
An Approach to Optimise the Execution of RTM Algorithm in Multicore Machines — Research Paper | ScholarLens