Hyperspectral imagery utilizes large numbers of narrow, contiguous spectral bands (sometimes ranging from as much.35 − 2.4 μm) to gather detailed spectral information, often regarding chemical and mineral properties, of an observed feature [24, 48, 55, 105].
Chip multiprocessors (CMPs) are promising candidates for the next generation computing platforms to utilize large numbers of gates and reduce the effects of high interconnect delays.
For this purpose, we unrolled the loop completely and divided up the workload across more threads and blocks to utilize large numbers of blocks and cores in the targeted GPU.
Recent developments in array approaches now allow for application of these technologies to population-based epidemiologic studies of cancer utilizing large numbers of samples [16], [17], [18].
To perform an effective simulation, we employed a parallel 3D FDM simulation code based on a domain-partitioning procedure that utilizes a large number of processors with a message-passing interface (MPI) (e.g., Furumura and Chen 2004).
To perform this large-scale simulation effectively, we employed a parallel 3D simulation code based on a domain-partitioning procedure that utilizes a large number of processors with a message-passing interface (based on the work of Furumura and Chen 2004).
To perform an effective simulation, we employ a parallel 3-D FDM simulation code based on a domain partitioning procedure that utilizes a large number of processors with the message passing interface (MPI) (e.g., Furumura and Chen 2004; Maeda and Furumura 2013).
RBF-TSS employs a recently published clustering algorithm for initialization that utilizes the large number of available background samples found within genomic DNA [16].
Using the proposed method yields 100% classification accuracy in many data sets, but it utilizes a large number of selected genes (large gene subset) to obtain the high accuracy.
Association mapping, also called linkage disequilibrium (LD) mapping, utilizes the large number of historical recombination events that have occurred throughout the entire evolutionary history of the mapping population, allowing fine-scale QTL mapping [ 13, 14].
