Sentence examples for parallel computing for data from inspiring English sources
Moreover, The BPN training approach is significant that improves data fusion system in accuracy and classification with parallel computing for data fusion efficiency.
An overview, review and benchmark of parallel computing techniques and tools for parallel computing with R is available in Schmidberger et al. 13 Parallel computing for microarray data distributes arrays to different processors, performs demanding computations on smaller sets of microarrays and communicates the results between the processors efficiently to achieve the needed overall result.
Therefore, the affyPara package implements strategies using parallel computing for preprocessing of microarray data.
20, 21 A Bioconductor package called affyPara 22, 23 implements parallel computing for pre-processing quality assessment of microarray data.
Figure 6 shows the proposed data structure of GPU parallel computing for spring force calculation.
We also implemented a new data structure to calculate the spring forces in parallel computing for deformable object simulation which has uneven spring connections on each node.
Software design for parallel computing; for embedded systems; for numerical computing; for symbolic computing; for distributed computing.
The chip industry has known about the hurdles involved in moving to parallel computing for four decades.
Supercomputer scientists have been pushing the idea of parallel computing for years.
This code uses the external libraries of Message Passing Interface (MPI) and NetCDF for parallel computing and data I/O, respectively.
Two major advantages of DNA computing – huge memory capacity and high parallelism – are being explored for large-scale parallel computing, mass data storage and cryptography.
