List of desktop Nvidia GPUS ordered by CUDA core count
I created it for those who use Neural Style
Guys, please add your hardware setups, neural-style configs and results in comments!
| GPU | CUDA cores | Memory | Processor frequency |
|---|---|---|---|
| GeForce GTX 690 | 3072 | 4 GB | 915 / 1019 |
| #!/usr/bin/perl | |
| use strict; | |
| use warnings; | |
| use Getopt::Long; | |
| my $dir; | |
| my $debug; my $verbose; my $simulate; | |
| my $cmd; my $ret; | |
| my $self = bless {}; | |
| use File::Basename; |
| library(ggplot2) | |
| gr1 <- c(0, 5, 15, 20, 30, 40) | |
| gr3 <- c(0, 5, 10, 25, 40, 60, 80) | |
| gr2 <- c(0, 15, 25, 30, 40) | |
| df2<- data.frame (pos = c(gr1, gr2, gr3), group = c(rep(1, length(gr1)), | |
| rep(2, length(gr2)), rep(3, length(gr3)))) | |
| df2$cpos <- cumsum (df2$pos) | |
| cx <- ggplot(df2, aes(fill = factor(group), x = cpos)) |
| #!/usr/bin/env python3 | |
| import subprocess | |
| import sys | |
| move = sys.argv[1] | |
| # move = "left" | |
| def get(cmd): | |
| return subprocess.check_output(["/bin/bash", "-c", cmd]).decode("utf-8") | |
| def execute(cmd): |
| #!/usr/bin/env python3 | |
| # From Jacob Vlijm on askubuntu.com | |
| # http://askubuntu.com/a/572052/17702 | |
| import subprocess | |
| import sys | |
| move = sys.argv[1] | |
| def get(cmd): | |
| return subprocess.check_output(["/bin/bash", "-c", cmd]).decode("utf-8") |
| #!/usr/bin/env python3 | |
| # From Jacob Vlijm posted in askubuntu.com | |
| import subprocess | |
| import sys | |
| move = sys.argv[1] | |
| def get(cmd): | |
| return subprocess.check_output(["/bin/bash", "-c", cmd]).decode("utf-8") |
| #!/usr/bin/env python3 | |
| # From Jacob Vlijm posted in askubuntu.com | |
| import subprocess | |
| import sys | |
| move = sys.argv[1] | |
| def get(cmd): | |
| return subprocess.check_output(["/bin/bash", "-c", cmd]).decode("utf-8") |