Fast seismic modeling and Reverse Time Migration on a GPU cluster

Abdelkhalek, Rached; Calandra, Henri; Coulaud, Olivier; Roman, Jean; Latu, Guillaume

doi:10.1109/hpcsim.2009.5192786

Cited by 70 publications

(45 citation statements)

References 9 publications

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“…For example, parallelization of finite difference method on the GPU with CUDA technology [4] is considered in the article [3]. There are studies [5,6] where the problem of reverse time migration is solved on a cluster of GPUs.…”

Section: The Use Of Parallel Programming Technologies For Modeling Sementioning

confidence: 99%

The Use of Parallel Programming Technologies for Modeling Seismic Waves Using Grid-Characteristic Method

Ivanov¹,

Хохлов²,

Petrov³

2016

RENSIT

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INTRODUCTIONThe problem of wave propagation in linearelastic medium is of interest in seismology and geophysics. With the increasing performance of modern computer systems and the possibility of parallel execution of the program code, it is possible to carry out computer modeling of seismic waves with great precision. The question is how to efficiently use the available computing resources.The first solution to this problem is to use of technologies of parallel programming for shared memory systems. Abstract. The paper deals with the problem of modeling seismic wave propagation in solid deformable bodies. The state of these bodies can be represented as a solution of hyperbolic system of equations. Grid-characteristic method is used to find the solution. This formulation of physical problem is used to demonstrate the use of technologies of parallel programming for shared memory systems using OpenMP and POSIX Threads technology. To achieve high performance, vector SSE and AVX instructions of CPU is used. In addition, GPU implementation is written using CUDA and OpenCL technologies. Results of multi-GPU parallelisation is also obtained. Use of NVIDIA GPUDirect technology that allows GPUs to make data exchanges directly through the PCI Express bus is considered. The paper demonstrates achieved acceleration and percentage of the theoretically possible performance. The paper demonstrates achieved acceleration and percentage of the theoretically possible performance. The paper describes the optimizations, which allowed us to achieve the obtained acceleration results. The study was financially supported by RFBR as part of a research project number 15-07-01931 A.

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Section: The Use Of Parallel Programming Technologies For Modeling Sementioning

confidence: 99%

The Use of Parallel Programming Technologies for Modeling Seismic Waves Using Grid-Characteristic Method

Ivanov¹,

Хохлов²,

Petrov³

2016

RENSIT

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“…2.3.4 Migración Reversa en el Tiempo Este es el método que en la actualidad ofrece una mejor calidad en la imágenes y aunque fue introducido en 1983 [13] su alto costo computacional impidió que se usara en el pasado [5]. Este consiste en resolver una aproximación de la Ecuación (1) dos veces, estas dos soluciones reciben el nombre de propagaciones hacia adelante y hacia atrás, luego los dos resultados son correlacionados para obtener la imagen [4].…”

Section: Método Por Diferencias Finitasunclassified

“…Ahora bien, la pregunta para los investigadores en computación sísmica de alto rendimiento es: ¿cuál es el hardware más apropiado para implementar el proceso de Migración Sísmica (MS)? investigaciones recientes [3], [4], [5] muestran que tanto las GPGPU (General-Purpose Computing on Graphics Processing Units) como las en FPGAs (Field Programmable Gate Array) son dos opciones para acelerar el proceso de MS.…”

Section: Introductionunclassified

Reducción de los tiempos de cómputo de la Migración Sísmica usando FPGAs y GPGPUs: Un artículo de revisión

Fajardo

Villar

Pedraza³

2013

ing.cienc.

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MSC:68M20 / PACS:93.85.Rt ResumenEste artículo hace una revisión entorno a los esfuerzos que actualmente se están realizando con el propósito de reducir el tiempo de cómputo de la MS. Nosotros introducimos los métodos más utilizados para realizar el proceso de Migración, así como también las dos arquitecturas computacionales que están ofreciendo mejores tiempos de procesamiento. Revisamos las implementaciones más representativas de este proceso sobre estas dos tecnologías y resumimos los aportes de cada una de estas investigaciones. El artículo finaliza con un análisis acerca de la dirección que deben tomar futuras investigaciones en esta área.Palabras clave: Evaluación del desempeño, FPGA, GPGPU, Métodos sís-micos de exploración, Migración Sísmica.

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“…In order to have a realistic use case we have implemented most of the tasks of the algorithm, not only the 3D finite difference computation which is considered by other works ( [2], [3]) to calculate the peak performance of the algorithm. Therefore, having a real-world application and not only a synthetic kernel, we are able to evaluate aforementioned issues like programmability or full program performance.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Reverse Time Migration on GPU

Cabezas

Araya‐Polo

Gelado

et al. 2009

2009 International Conference of the Chilean Computer Science Society

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Abstract-Partial Differential Equations (PDE) are the heart of most simulations in many scientific fields, from Fluid Mechanics to Astrophysics. One the most popular mathematical schemes to solve a PDE is Finite Difference (FD). In this work we map a PDE-FD algorithm called Reverse Time Migration to a GPU using CUDA. This seismic imaging (Geophysics) algorithm is widely used in the oil industry. GPUs are natural contenders in the aftermath of the clock race, in particular for High-performance Computing (HPC). Due to GPU characteristics, the parallelism paradigm shifts from the classical threads plus SIMD to Single Program Multiple Data (SPMD). The NVIDIA GTX 280 implementation outperforms homogeneous CPUs up to 9x (Intel Harpertown E5420) and up to 14x (IBM PPC 970). These preliminary results confirm that GPUs are a real option for HPC, from performance to programmability.

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Fast seismic modeling and Reverse Time Migration on a GPU cluster

Cited by 70 publications

References 9 publications

The Use of Parallel Programming Technologies for Modeling Seismic Waves Using Grid-Characteristic Method

The Use of Parallel Programming Technologies for Modeling Seismic Waves Using Grid-Characteristic Method

Reducción de los tiempos de cómputo de la Migración Sísmica usando FPGAs y GPGPUs: Un artículo de revisión

High-Performance Reverse Time Migration on GPU

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