Forward modeling of gravitational fields on hybrid multi-threaded cluster

Couder-Castañeda, Carlos; Ortiz-Alemán, J. C.; Orozco-del-Castillo, Mauricio Gabriel; Nava-Flores, Mauricio

doi:10.1016/j.gi.2015.04.002

Cited by 9 publications

(12 citation statements)

References 17 publications

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“…To achieve similar performance with only one thread without the HT, it is necessary to create two threads and assign them to the same core. Nevertheless, for applications where the threads do not share the computational domain a gain in performance was observed by Couder-Castañeda et al [25]. The graph of Figure 12(a) depicts a behavior governed by Amdahl's law with a maximum speed-up factor of 6.14X.…”

Section: Experiments On Cpu the Configuration Of The Worktation Ismentioning

confidence: 85%

Performance of a Code Migration for the Simulation of Supersonic Ejector Flow to SMP, MIC, and GPU Using OpenMP, OpenMP+LEO, and OpenACC Directives

Couder-Castañeda

Barrios-Piña

Gitler

2015

Scientific Programming

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A serial source code for simulating a supersonic ejector flow is accelerated using parallelization based on OpenMP and OpenACC directives. The purpose is to reduce the development costs and to simplify the maintenance of the application due to the complexity of the FORTRAN source code. This research follows well-proven strategies in order to obtain the best performance in both OpenMP and OpenACC. OpenMP has become the programming standard for scientific multicore software and OpenACC is one true alternative for graphics accelerators without the need of programming low level kernels. The strategies using OpenMP are oriented towards reducing the creation of parallel regions, tasks creation to handle boundary conditions, and a nested control of the loop time for the programming in offload mode specifically for the Xeon Phi. In OpenACC, the strategy focuses on maintaining the data regions among the executions of the kernels. Experiments for performance and validation are conducted here on a 12-core Xeon CPU, Xeon Phi 5110p, and Tesla C2070, obtaining the best performance from the latter. The Tesla C2070 presented an acceleration factor of 9.86X, 1.6X, and 4.5X compared against the serial version on CPU, 12-core Xeon CPU, and Xeon Phi, respectively.

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Section: Experiments On Cpu the Configuration Of The Worktation Ismentioning

confidence: 85%

Performance of a Code Migration for the Simulation of Supersonic Ejector Flow to SMP, MIC, and GPU Using OpenMP, OpenMP+LEO, and OpenACC Directives

Couder-Castañeda

Barrios-Piña

Gitler

2015

Scientific Programming

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“…To divide tasks in a balanced way, we follow the procedure described by Couder-Castañeda et al [17], and Arroyo et al [18]. Let p n be the number of MPI processes and C n the number of problems to solve, then we define the problem number with which a process, p, must start and finish as p s and p e , respectively.…”

Section: Mpi Distributed Implementationmentioning

confidence: 99%

Weakly Coupled Distributed Calculation of Lyapunov Exponents for Non-Linear Dynamical Systems

et al. 2017

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Numerical estimation of Lyapunov exponents in non-linear dynamical systems results in a very high computational cost. This is due to the large-scale computational cost of several Runge-Kutta problems that need to be calculated. In this work we introduce a parallel implementation based on MPI (Message Passing Interface) for the calculation of the Lyapunov exponents for a multidimensional dynamical system, considering a weakly coupled algorithm. Since we work on an academic high-latency cluster interconnected with a gigabit switch, the design has to be oriented to reduce the number of messages required. With the design introduced in this work, the computing time is drastically reduced, and the obtained performance leads to close to optimal speed-up ratios. The implemented parallelisation allows us to carry out many experiments for the calculation of several Lyapunov exponents with a low-cost cluster. The numerical experiments showed a high scalability, which we showed with up to 68 cores.

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“…. The discrete approximation for the remaining components can be reviewed in [9]. In Figure 7, we show the result of calculating the components of a prism measuring 200 m 3 at a height of 0.01 Km, with an observation mesh of 1 Km × 1 Km, and discretized every 20 m.…”

Section: Description Of the Forward Modelling Problemmentioning

confidence: 99%

“…where is the total number of prisms and is the density of the prism. This problem was previously studied and it was determined that the best parallelization strategy is to carry out the solution via prisms since, in general, the number of prisms is much bigger than the number of observation points [9,10]. The partitioning by observation points is efficient as long as there are not too many threads operating on the observation mesh at once.…”

Section: Introductionmentioning

confidence: 99%

A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields

Couder-Castañeda

Trujillo-Alcántara

Herrera-Diaz

et al. 2015

Scientific Programming

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With at least 60 processing cores, the Xeon-Phi coprocessor is a truly multicore architecture, which consists of an interconnection speed among cores of 240 GB/s, two levels of cache memory, a theoretical performance of 1.01 Tflops, and programming flexibility, all making the Xeon-Phi an excellent coprocessor for parallelizing applications that seek to reduce computational times. The objective of this work is to migrate a geophysical application designed to directly calculate the gravimetric tensor components and their derivatives and in this way research the performance of one and two Xeon-Phi coprocessors integrated on the same node and distributed in various nodes. This application allows the analysis of the design factors that drive good performance and compare the results against a conventional multicore CPU. This research shows an efficient strategy based on nested parallelism using OpenMP, a design that in its outer structure acts as a controller of interconnected Xeon-Phi coprocessors while its interior is used for parallelyzing the loops. MPI is subsequently used to reduce the information among the nodes of the cluster.

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Forward modeling of gravitational fields on hybrid multi-threaded cluster

Cited by 9 publications

References 17 publications

Performance of a Code Migration for the Simulation of Supersonic Ejector Flow to SMP, MIC, and GPU Using OpenMP, OpenMP+LEO, and OpenACC Directives

Performance of a Code Migration for the Simulation of Supersonic Ejector Flow to SMP, MIC, and GPU Using OpenMP, OpenMP+LEO, and OpenACC Directives

Weakly Coupled Distributed Calculation of Lyapunov Exponents for Non-Linear Dynamical Systems

A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields

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