Seismic Processing and the Computer Revolution(s)

Concurrency and Computation

Pavan

Cruz

et al. 2021

Summary Reverse time migration (RTM) simulation is the basis of the seismic imaging tools used by the oil and gas industry. Developers have been porting their simulations to the new high‐performance computing architectures, providing faster and more accurate results at each new generation. However, several challenges arrive when trying to achieve high performance on these new architectures. The first one is to choose the architecture that best fits the kind of simulation. After that, researchers should choose the API used to implement the simulation code. These two decisions are strongly related to the effort, performance, and energy efficiency of the simulations. In this article, we propose three optimizations for an oil and gas application, which reduce the floating‐point operations by changing the equation derivatives. We evaluate these optimizations in different multicore and GPU architectures, investigating the impact of different APIs on the performance, energy efficiency, and portability of the code. Our experimental results show that the dedicated CUDA implementation running on the NVIDIA Volta architecture has the best performance and energy efficiency for RTM on GPUs, while the OpenMP version is the best for Intel Broadwell in the multicore. Also, the OpenACC version, which has a lower programming effort and executes on both architectures, has an up to 20% better performance and energy efficiency than the nonportable ones.

“…Clapp et al 31 discussed how new computer architectures change the way RTM applications are implemented. The article focused on a discussion without showing any measured results.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Section: Related Work and Motivationmentioning

confidence: 99%

See 1 more Smart Citation

Energy efficiency and portability of oil and gas simulations on multicore and graphics processing unit architectures

Concurrency and Computation

Pavan

Cruz

et al. 2021

“…Such acoustic propagation engines should be continuously ported to the newest HPC hardware available to maintain competitiveness. At the same time, on the HPC hardware front, the days of faster single-core CPUs are over, and the solutions adopted are being replaced by manycore technologies (Clapp, 2015; Clapp et al, 2010). The last decade has seen a trend of building systems with dedicated devices and accelerators, which produce a good return regarding floating point operations per second (FLOPs)/Watt.…”

Section: Introductionmentioning

confidence: 99%

Optimization strategies for geophysics models on manycore systems

The International Journal of High Performance Computing Applica

Cruz

Diener

et al. 2019

Many software mechanisms for geophysics exploration in oil and gas industries are based on wave propagation simulation. To perform such simulations, state-of-the-art high-performance computing architectures are employed, generating results faster with more accuracy at each generation. The software must evolve to support the new features of each design to keep performance scaling. Furthermore, it is important to understand the impact of each change applied to the software to improve the performance as most as possible. In this article, we propose several optimization strategies for a wave propagation model for six architectures: Intel Broadwell, Intel Haswell, Intel Knights Landing, Intel Knights Corner, NVIDIA Pascal, and NVIDIA Kepler. We focus on improving the cache memory usage, vectorization, load balancing, portability, and locality in the memory hierarchy. We analyze the hardware impact of the optimizations, providing insights of how each strategy can improve the performance. The results show that NVIDIA Pascal outperforms the other considered architectures by up to 8.5[Formula: see text].

“…Ao mesmo tempo, as arquiteturas de CAD evoluíram e a melhoria de desempenho apenas com o aumento da frequência de clock não existe mais. As soluções atualmente adotadas estão sendo substituídas por tecnologias multicore e manycore [Clapp et al 2010, Clapp 2015.…”

Section: Introductionunclassified

Portabilidade e Eficiência do Método Fletcher de Aplicações Sísmicas em Arquiteturas Multicore e GPU

Anais Do XX Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD 2019)

Pavan

Panetta

et al. 2019

A simulação da propagação de ondas acústicas é a base das ferramentas de imagem sı́smica utilizadas pela indústria de petróleo e gás. Para realizar tais simulações, arquiteturas de CAD são empregadas, fornecendo resultados mais rápidos e com maior precisão a cada geração de processadores. Entretanto, para atingir alto desempenho nessas arquiteturas, vários desafios devem ser levados em consideração no momento do desenvolvimento da aplicação. Neste artigo, a Modelagem Fletcher foi otimizada para multicore e GPU e o desempenho, o consumo de energia e a eficiência energética de oito versões do código foram avaliados. Os resultados mostram que a versão CUDA tem o melhor desempenho e eficiência energética; no entanto, a versão OpenACC que tem a vantagem da portabilidade, tem um desempenho e degradação de eficiência energética de apenas 10 e 8% comparado com CUDA. ∗