Multi-level Parallelism in the Computational Modeling of the Heart

Xavier, Carolina Ribeiro; Sachetto, Rafael; Vieira, Vinícius da Fonseca; Santos, Rodrigo Weber dos; Meira, Wagner

doi:10.1109/sbac-pad.2007.19

Cited by 5 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the highly nonlinear nature of the ODEs, fully implicit solutions are extremely difficult. Operator splitting technique is usually performed such that the numerical solution is reduced to a modular three-step scheme which involves the solutions of a parabolic PDE, an elliptic PDE and a nonlinear system of ordinary differential equations (ODEs) at each time step [3].…”

Section: Original Problemmentioning

confidence: 99%

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Amorim¹,

Haase²,

Liebmann³

et al. 2009

2009 International Conference on High Performance Computing &Amp; Simulation

Self Cite

View full text Add to dashboard Cite

The use of the GPU as a general purpose processor is becoming more popular and there are different approaches for this kind of programming. In this paper we present a comparison between different implementations of the OpenGL and CUDA approaches for solving our test case, a weighted Jacobi iteration with a structured matrix originating from a finite element discretization of the elliptic PDE part of the cardiac bidomain equations. The CUDA approach using textures showed to be the fastest with a speedup of 31 over a CPU implementation using one core and SSE. CUDA showed to be an efficient and easy way of programming GPU for general purpose problems, though it is also easier to write inefficient codes.

show abstract

Section: Original Problemmentioning

confidence: 99%

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Amorim¹,

Haase²,

Liebmann³

et al. 2009

2009 International Conference on High Performance Computing &Amp; Simulation

Self Cite

View full text Add to dashboard Cite

show abstract

“…Moreover, the MPI-2 library is not currently supported in the Globus Grid toolkit. Another approach to improve the efficiency of the grid application is to employ multilevel topology-aware technique [4][5][6] . In this paper, we propose, implement, and investigate the performance of a new grid programming technique based on the Global Arrays toolkit and multi-level topology-aware approach.…”

Section: Grid Computingmentioning

confidence: 99%

Untitled

Sirisup¹,

U-ruekolan²

2011

ScienceAsia

View full text Add to dashboard Cite

Grid computing technology addresses the growing need for computing resources in simulation-based engineering and science (SBES). However, optimal performance of grid computing technology requires 'virtually tightly coupled' computing resources. This, though, may not be economically available in many research societies. In this work, we propose a new approach to improve performance of a typical parallel application for SBES on a 'virtually not tightly coupled' grid computing environment. To this end, we have proposed, implemented, and investigated the performance of a new grid programming technique based on the Global Arrays toolkit and multi-level topology-aware approach. We have found that performance of the evaluating application implemented with this new technique outperforms both MPICH-G2 and native Global Arrays implementations, but is still comparable to that of the application implemented with OpenMP, the native Symmetric-Multi Processors programming.

show abstract

On performance study of the Global Arrays toolkit on homogeneous Grid computing environments: Multi-level topology-aware and multi-level parallelism

Sirisup

U-ruekolan

2009

2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolog

View full text Add to dashboard Cite

Multi-level Parallelism in the Computational Modeling of the Heart

Cited by 5 publications

References 22 publications

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Untitled

On performance study of the Global Arrays toolkit on homogeneous Grid computing environments: Multi-level topology-aware and multi-level parallelism

Contact Info

Product

Resources

About