<p>A series of optimizations are compared in which the number of calculations (and thus the total time required) on the CPU is constant, and the speedup factor is reported as the ratio of the time required using the GPU to the time required using the CPU alone. The benefit of using the GPU is enhanced when individual GPU tasks are larger (more particles), allowing fewer CPU-GPU communication steps.</p
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
<p>speedup<sup>a</sup>: speedup factor per EM loop ; speedup<sup>b</sup>: speedup factor of total ex...
GPGPU (General purpose computing on graphics processing unit) is quite common in today's modern...
<p>Time performance of analyzing the GPU-accelerated method developed in this study versus a CPU-bas...
<p>Ligands of varying sizes were docked using DARC. <b>A</b>) Time required to complete the optimiza...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
<p>Combined execution times in s for serial and parallel implementations of k-nearest neighbor and r...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Context. Particle systems are an important part for enhancing the player experience in games, simula...
An example field of view imaged over 10 hours (200 time points, 360 cells at the last time point) wa...
<p>The performance showed in terms of running times (in minutes) and speed-ups (x), on four differen...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
<p>speedup<sup>a</sup>: speedup factor per EM loop ; speedup<sup>b</sup>: speedup factor of total ex...
GPGPU (General purpose computing on graphics processing unit) is quite common in today's modern...
<p>Time performance of analyzing the GPU-accelerated method developed in this study versus a CPU-bas...
<p>Ligands of varying sizes were docked using DARC. <b>A</b>) Time required to complete the optimiza...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
<p>Combined execution times in s for serial and parallel implementations of k-nearest neighbor and r...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Context. Particle systems are an important part for enhancing the player experience in games, simula...
An example field of view imaged over 10 hours (200 time points, 360 cells at the last time point) wa...
<p>The performance showed in terms of running times (in minutes) and speed-ups (x), on four differen...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
<p>speedup<sup>a</sup>: speedup factor per EM loop ; speedup<sup>b</sup>: speedup factor of total ex...