Exploiting Intensive Multithreading for the Efficient Simulation of 3D Seismic Wave Propagation

Dupros, Fabrice; Aochi, Hideo; Ducellier, Ariane; Komatitsch, Dimitri; Roman, Jean

doi:10.1109/cse.2008.51

Cited by 21 publications

(14 citation statements)

References 12 publications

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“…The strategy is based on data-parallelism in which each processor solves its own subdomain problem. The time-dependent computational phase corresponding to the resolution of the first-order system of equations (1) and (2) is the following: at each time step, the stress variables are computed first, then each domain exchanges interface information with its neighbors and finally the velocity variables are updated again by exchanging information on the edges [11].…”

Section: Elastodynamics Numerical Kernel On Mppa-256mentioning

confidence: 99%

Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor

Castro

Dupros

Francesquini

et al. 2014

2014 IEEE 26th International Symposium on Computer Architecture and High Performance Computing

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Large-scale simulation of seismic wave propagation is an active research topic. Its high demand for processing power makes it a good match for High Performance Computing (HPC). Although we have observed a steady increase on the processing capabilities of HPC platforms, their energy efficiency is still lacking behind. In this paper, we analyze the use of a low-power manycore processor, the MPPA-256, for seismic wave propagation simulations. First we look at its peculiar characteristics such as limited amount of on-chip memory and describe the intricate solution we brought forth to deal with this processor's idiosyncrasies. Next, we compare the performance and energy efficiency of seismic wave propagation on MPPA-256 to other commonplace platforms such as general-purpose processors and a GPU. Finally, we wrap up with the conclusion that, even if MPPA-256 presents an increased software development complexity, it can indeed be used as an energy efficient alternative to current HPC platforms, resulting in up to 71% and 81% less energy than a GPU and a general-purpose processor, respectively.

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Section: Elastodynamics Numerical Kernel On Mppa-256mentioning

confidence: 99%

Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor

Castro

Dupros

Francesquini

et al. 2014

2014 IEEE 26th International Symposium on Computer Architecture and High Performance Computing

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“…In this case, quasi-static decomposition, adaptive mesh refinement or parallel mesh partitioning are standard techniques that intend to balance computations. In this paper we applied the former technique [11].…”

Section: Distributed Algorithmmentioning

confidence: 99%

On the energy efficiency and performance of irregular application executions on multicore, NUMA and manycore platforms

Francesquini

Castro

Penna

et al. 2015

Journal of Parallel and Distributed Computing

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h i g h l i g h t s• Programming for a manycore is challenging.• Limited memory and NoC are among the most important constraints of manycores. • For CPU-bound and mixed workloads, MPPA-256 achieves better performance than Xeon. • MPPA-256 consumes up to 13× less energy than embedded and general-purpose multicores. a b s t r a c t Until the last decade, performance of HPC architectures has been almost exclusively quantified by their processing power. However, energy efficiency is being recently considered as important as raw performance and has become a critical aspect to the development of scalable systems. These strict energy constraints guided the development of a new class of so-called light-weight manycore processors. This study evaluates the computing and energy performance of two well-known irregular NP-hard problems -the Traveling-Salesman Problem (TSP) and K-Means clustering -and a numerical seismic wave propagation simulation kernel -Ondes3D -on multicore, NUMA, and manycore platforms. First, we concentrate on the nontrivial task of adapting these applications to a manycore, specifically the novel MPPA-256 manycore processor. Then, we analyze their performance and energy consumption on those different machines. Our results show that applications able to fully use the resources of a manycore can have better performance and may consume from 3.8× to 13× less energy when compared to low-power and general-purpose multicore processors, respectively.

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“…We calculated seismic wave propagation using a finite difference method (Aochi and Madariaga 2003;Dupros et al 2008) and introduced dynamic rupture scenarios. This is a sequential simulation procedure (Aochi and Madariaga 2003;Aochi and Douglas 2006).…”

Section: Model and Methods -Reference Modelmentioning

confidence: 99%

Ground motions characterized by a multi-scale heterogeneous earthquake model

Aochi

Ide

2014

Earth Planet Sp

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We have carried out numerical simulations of seismic ground motion radiating from a mega-earthquake whose rupture process is governed by a multi-scale heterogeneous distribution of fracture energy. The observed complexity of the Mw 9.0 2011 Tohoku-Oki earthquake can be explained by such heterogeneities with fractal patches (size and number), even without introducing any heterogeneity in the stress state. In our model, scale dependency in fracture energy (i.e., the slip-weakening distance D c ) on patch size is essential. Our results indicate that wave radiation is generally governed by the largest patch at each moment and that the contribution from small patches is minor. We then conducted parametric studies on the frictional parameters of peak (τ p ) and residual (τ r ) friction to produce the case where the effect of the small patches is evident during the progress of the main rupture. We found that heterogeneity in τ r has a greater influence on the ground motions than does heterogeneity in τ p . As such, local heterogeneity in the static stress drop (Δτ) influences the rupture process more than that in the stress excess (Δτ excess ). The effect of small patches is particularly evident when these are almost geometrically isolated and not simultaneously involved in the rupture of larger patches. In other cases, the wave radiation from small patches is probably hidden by the major contributions from large patches. Small patches may play a role in strong motion generation areas with low τ r (high Δτ), particularly during slow average rupture propagation. This effect can be identified from the differences in the spatial distributions of peak ground velocities for different frequency ranges.

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Exploiting Intensive Multithreading for the Efficient Simulation of 3D Seismic Wave Propagation

Cited by 21 publications

References 12 publications

Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor

Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor

On the energy efficiency and performance of irregular application executions on multicore, NUMA and manycore platforms

Ground motions characterized by a multi-scale heterogeneous earthquake model

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