International audienceThis paper introduces an approach aimed at improving computation time for spring embedders in a context of graph visualization. The approach relies on recent developments in the utilization of graphic processor units (GPU) for generic numerical computation. We show how a GPU can greatly improve computation time, hence opening many previously unattainable possibilities in terms of interactive applications. Our method has been implemented in software used for benchmarks demonstrating large performance gain
Thanks to the nature of the graphics processing, the newly released products offer highly parallel p...
This project is about finding ways to improve performance of a Computer-Aided-Design (CAD) applicati...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...
For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and th...
Abstract—Graphs are common data structures for many applications, and efficient graph processing is ...
Graphs are de facto data structures for many applications, and efficient graph processing is a must ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
Current Graphics Processing Units (GPUs) provide programmable vertex and fragment processing circuit...
For large-scale graph analytics on the GPU, the irregularity of dataaccess/control flow and the comp...
Graphs are the de facto data structures for many applications, and efficient graph processing is a m...
The programming of GPUs (Graphics Processing Units) is ready for practical applications; the largest...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
The computational speed on microprocessors is increasing faster than the communication speed, especi...
The rapid increase in the performance of graphics hardware, coupled with recent improvements in its ...
Thanks to the nature of the graphics processing, the newly released products offer highly parallel p...
This project is about finding ways to improve performance of a Computer-Aided-Design (CAD) applicati...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...
For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and th...
Abstract—Graphs are common data structures for many applications, and efficient graph processing is ...
Graphs are de facto data structures for many applications, and efficient graph processing is a must ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
Current Graphics Processing Units (GPUs) provide programmable vertex and fragment processing circuit...
For large-scale graph analytics on the GPU, the irregularity of dataaccess/control flow and the comp...
Graphs are the de facto data structures for many applications, and efficient graph processing is a m...
The programming of GPUs (Graphics Processing Units) is ready for practical applications; the largest...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
The computational speed on microprocessors is increasing faster than the communication speed, especi...
The rapid increase in the performance of graphics hardware, coupled with recent improvements in its ...
Thanks to the nature of the graphics processing, the newly released products offer highly parallel p...
This project is about finding ways to improve performance of a Computer-Aided-Design (CAD) applicati...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...