A multi-GPU approach of MRISIMUL, a recently developed step-by-step comprehensive MR physics simulator of the Bloch equation, is presented in this study. The specific aim was to apply MRISIMUL on multi-GPU systems so as to achieve even shorter execution times. We hypothesized that such a simulation platform could achieve a scalable performance with the increasing number of available GPU cards on single node, multi-GPU computer systems. A parallelization strategy was employed using the MATLAB single-program-multiple- data (spmd) statement and an almost linear speedup was observed with the increasing number of available GPU cards on two separate systems: a single computer of 2 quad-core processors and two Tesla C2070 GPU cards and a single co...
Compute Unified Device Architecture (CUDA) was used to design and implement molecular dynamics (MD) ...
International audienceComputer simulations of magnetic resonance imaging (MRI) are important tools i...
Abstract—Emerging massively parallel architectures such as a general-purpose processor plus many-cor...
A new step-by-step comprehensive MR physics simulator (MRISIMUL) of the Bloch equations is presented...
Background: MRI physics simulators have been developed in the past for optimizing imaging protocols ...
It is shown micromagnetic and atomistic spin dynamics simulations can use multiple GPUs in order to ...
We present and compare different approaches for using multiple Graphics Processing Units in the simu...
Current brain simulators do no scale linearly to realistic problem sizes (e.g. >100,000 neurons),...
We have adapted our finite element micromagnetic simulation software to the massively parallel archi...
Best paper awardInternational audienceStochastic simulations need multiple replications in order to ...
We discuss an implementation of molecular dynamics (MD) simulations on a graphic processing unit (GP...
Abstract. We present MGPU, a C++ programming library targeted at single-node multi-GPU systems. Such...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
We have developed a robust and scalable multi-GPU (Graphics Processing Unit) version of the cellula...
—Emerging massively parallel architectures such as a general-purpose processor plus many-core progra...
Compute Unified Device Architecture (CUDA) was used to design and implement molecular dynamics (MD) ...
International audienceComputer simulations of magnetic resonance imaging (MRI) are important tools i...
Abstract—Emerging massively parallel architectures such as a general-purpose processor plus many-cor...
A new step-by-step comprehensive MR physics simulator (MRISIMUL) of the Bloch equations is presented...
Background: MRI physics simulators have been developed in the past for optimizing imaging protocols ...
It is shown micromagnetic and atomistic spin dynamics simulations can use multiple GPUs in order to ...
We present and compare different approaches for using multiple Graphics Processing Units in the simu...
Current brain simulators do no scale linearly to realistic problem sizes (e.g. >100,000 neurons),...
We have adapted our finite element micromagnetic simulation software to the massively parallel archi...
Best paper awardInternational audienceStochastic simulations need multiple replications in order to ...
We discuss an implementation of molecular dynamics (MD) simulations on a graphic processing unit (GP...
Abstract. We present MGPU, a C++ programming library targeted at single-node multi-GPU systems. Such...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
We have developed a robust and scalable multi-GPU (Graphics Processing Unit) version of the cellula...
—Emerging massively parallel architectures such as a general-purpose processor plus many-core progra...
Compute Unified Device Architecture (CUDA) was used to design and implement molecular dynamics (MD) ...
International audienceComputer simulations of magnetic resonance imaging (MRI) are important tools i...
Abstract—Emerging massively parallel architectures such as a general-purpose processor plus many-cor...