<p>The GPU computing efficiency of the three different thread arrangements in comparison with the original MATLAB implementation.</p
Abstract — GPU based on CUDA Architecture developed by NVIDIA is a high performance computing device...
<p>Comparison of running time (seconds) of the algorithms implemented in MATLAB (upper section) and ...
Relative efficiency of XLA for element-wise operations (hollow = vector operations; filled = matrix ...
<p>Comparison of computational performance between the FA-MLR using CPU and GPU.</p
<p>Schematic illustration of the data passing flow between the MATLAB and the GPU.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
Nowadays a technique of using graphics processing units (GPUs) for general-purpose computing (or GPG...
The proliferation of accelerators in modern clusters makes efficient coprocessor programming a key r...
Graphics processing units (GPUs) have recently evolved into popular accelerators for general-purpose...
Parallel speedup and efficiency of the benchmark system of Sec. Performance as a function of the num...
<p>The program can be divided into two parts: a serial part and a parallel part. The serial part is ...
MATLAB is an array language that is being increasingly used for prototyping and developing code for ...
Comparison of original parallel processing with Hadoop (3 data node) with 64 hyper threads.</p
Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; trian...
Parallel efficiency comparison in the algorithm in this paper and DP K-means.</p
Abstract — GPU based on CUDA Architecture developed by NVIDIA is a high performance computing device...
<p>Comparison of running time (seconds) of the algorithms implemented in MATLAB (upper section) and ...
Relative efficiency of XLA for element-wise operations (hollow = vector operations; filled = matrix ...
<p>Comparison of computational performance between the FA-MLR using CPU and GPU.</p
<p>Schematic illustration of the data passing flow between the MATLAB and the GPU.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
Nowadays a technique of using graphics processing units (GPUs) for general-purpose computing (or GPG...
The proliferation of accelerators in modern clusters makes efficient coprocessor programming a key r...
Graphics processing units (GPUs) have recently evolved into popular accelerators for general-purpose...
Parallel speedup and efficiency of the benchmark system of Sec. Performance as a function of the num...
<p>The program can be divided into two parts: a serial part and a parallel part. The serial part is ...
MATLAB is an array language that is being increasingly used for prototyping and developing code for ...
Comparison of original parallel processing with Hadoop (3 data node) with 64 hyper threads.</p
Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; trian...
Parallel efficiency comparison in the algorithm in this paper and DP K-means.</p
Abstract — GPU based on CUDA Architecture developed by NVIDIA is a high performance computing device...
<p>Comparison of running time (seconds) of the algorithms implemented in MATLAB (upper section) and ...
Relative efficiency of XLA for element-wise operations (hollow = vector operations; filled = matrix ...
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