<p>Comparison of computational performance between the FA-MLR using CPU and GPU.</p
GPGPU (General purpose computing on graphics processing unit) is quite common in today's modern...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
<p>Implementation only based on CPU is represented in the upper part and CPU/GPU implementation is s...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
<p>Time performance of analyzing the GPU-accelerated method developed in this study versus a CPU-bas...
<p>The GPU computing efficiency of the three different thread arrangements in comparison with the or...
In the past decade, FPGAs and GPUs have become increasingly common as hardware accelerators when dea...
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
Product data parallel GPU processor has recently attracted many application developers attention. GP...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
<p>Combined execution times in s for serial and parallel implementations of k-nearest neighbor and r...
<p>Comparison of calculation time between GPU and CPU for various clinical exams with anthropomorphi...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
GPGPU (General purpose computing on graphics processing unit) is quite common in today's modern...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
<p>Implementation only based on CPU is represented in the upper part and CPU/GPU implementation is s...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
<p>Time performance of analyzing the GPU-accelerated method developed in this study versus a CPU-bas...
<p>The GPU computing efficiency of the three different thread arrangements in comparison with the or...
In the past decade, FPGAs and GPUs have become increasingly common as hardware accelerators when dea...
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
Product data parallel GPU processor has recently attracted many application developers attention. GP...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
<p>Combined execution times in s for serial and parallel implementations of k-nearest neighbor and r...
<p>Comparison of calculation time between GPU and CPU for various clinical exams with anthropomorphi...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
GPGPU (General purpose computing on graphics processing unit) is quite common in today's modern...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
<p>Implementation only based on CPU is represented in the upper part and CPU/GPU implementation is s...
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