Sentence examples for ram using the from inspiring English sources
The current model formulation was run on a minicomputer with 2 quadcore processors and 128Gb of RAM using the multiprocessing capability in R (R Development Core Team 2016).
The results were obtained on an Intel(R) Core(TM) i5-4210 CPU @ 1.70 GHz, 1.70 GHz, and 8 GB of RAM using the Matlab library implementations for each detector, descriptor, and matching scheme.
Maximum likelihood inference was carried out in RA×ML 7.0.4 [40] at the AMNH Computational Sciences facility on an 8-way server with 2.2 GHz AMD Opteron 846 processors and 128 GB RAM using the fine-grained parallel Pthreads (POSIX Threads Library; [41]) and on the CIPRES cluster (http://www.phylo.org) using the MPI (Message Passing Interface; [42], [43]) implementations.
Still, even with a heuristic speed-up [ 14] or the efficient fastFVA algorithm [ 27], one iteration of MBA takes ~10 hours on a single 2.34 GHz CPU with 4G RAM using the open source glpk solver.
A patristic distance matrix from a tree of 187 gene sequences was calculated in 12 seconds in a PC with an AMD CPU at 2.2 GHz and 256 RAM using the JRE 1.5.
The primary analysis was for association of individual SNPs with the binary trait of RAM, using the family-based association test (FBAT) programme (Horvath et al, 2001), and for haplotypes, using the haplotype extension (HBAT) of the FBAT programme (Horvath et al, 2004).
Homozygous c.960delG-lambs were only produced the second year, since the rams used the first year did not carry this mutation.
At the Stage 1, the CPU reads a volume dataset of dimensions (N_x times N_y times N_z), which is then allocated both in the main memory (RAM, used by the CPU) and in the video memory (VRAM, used by the GPU).
If you have a system with a small amount of installed memory (RAM), consider using the option "Live with low RAM settings".
The one the insurance institute uses tries to simulate a pickup truck and hits vehicles higher than the carlike ram used in the government test.
The experiments are performed on a PC with 3.2 GHz CPU and 6 GB RAM by using the training sequences used for the threshold modeling and the non-training sequences as seen in Table 2.
