The use of Graphics Processing Units (GPUs) has recently witnessed ever growing applications for different computational analyses in the field of Life Sciences. In this work we present a CUDA-powered computational tool, named coagSODA, that was purposely developed and applied for the analysis of a large model of the blood coagulation cascade defined as a system of ordinary differential equations, based on both mass-action kinetics and Hill functions. We discuss the biological results of the parameter sweep analyses of this model, and show that GPUs can boost the computational performances up to 177x speedup. \ua9 2014 IEEE
Nowadays the need for powerful hardware architectures, which allow for high throughput data analysis...
BACKGROUND:\u3cbr/\u3eMathematical modeling and in silico analysis are widely acknowledged as comple...
In this paper, we present what we believe to be the first GPU-based implementation (using CUDA) for ...
In the last years, the use of Graphical Processing Units (GPUs) has witnessed ever growing applicati...
The introduction of general-purpose Graphics Processing Units (GPUs) is boosting scientific applicat...
The introduction of general-purpose Graphics Processing Units (GPUs) is boosting scientific applicat...
Copyright © 2014 Paolo Cazzaniga et al. This is an open access article distributed under the Creativ...
In the last years, graphics processing units (GPUs) witnessed ever growing applications for a wide r...
The computational investigation of a biological system often requires the execution of a large numbe...
In the paper we present the use of graphic processor units to accelerate the most time-consuming sta...
Motivation: Mathematical modelling is central to systems and synthetic biology. Using simulations to...
The reliability of cardiovascular computational models depends on the accurate solution of the hemod...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
The study of biological systems witnessed a pervasive cross-fertilization between experimental inves...
Nowadays the need for powerful hardware architectures, which allow for high throughput data analysis...
BACKGROUND:\u3cbr/\u3eMathematical modeling and in silico analysis are widely acknowledged as comple...
In this paper, we present what we believe to be the first GPU-based implementation (using CUDA) for ...
In the last years, the use of Graphical Processing Units (GPUs) has witnessed ever growing applicati...
The introduction of general-purpose Graphics Processing Units (GPUs) is boosting scientific applicat...
The introduction of general-purpose Graphics Processing Units (GPUs) is boosting scientific applicat...
Copyright © 2014 Paolo Cazzaniga et al. This is an open access article distributed under the Creativ...
In the last years, graphics processing units (GPUs) witnessed ever growing applications for a wide r...
The computational investigation of a biological system often requires the execution of a large numbe...
In the paper we present the use of graphic processor units to accelerate the most time-consuming sta...
Motivation: Mathematical modelling is central to systems and synthetic biology. Using simulations to...
The reliability of cardiovascular computational models depends on the accurate solution of the hemod...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
The study of biological systems witnessed a pervasive cross-fertilization between experimental inves...
Nowadays the need for powerful hardware architectures, which allow for high throughput data analysis...
BACKGROUND:\u3cbr/\u3eMathematical modeling and in silico analysis are widely acknowledged as comple...
In this paper, we present what we believe to be the first GPU-based implementation (using CUDA) for ...