6%
15.09.2020
on /sys type sysfs (rw,nosuid,nodev,noexec,relatime)
proc on /proc type proc (rw,nosuid,nodev,noexec,relatime)
...
/dev/nvme1n1p1 on /home type ext4 (rw,relatime)
/dev/sda1 on /data type ext4 (rw,relatime)
tmpfs on /run/user/1000 type
6%
14.08.2020
of the failed drives.”
Temperature effects are interesting, in that high temperatures start affecting older drives (3–4 years old or older), but lower temperatures can also increase the failure rate of drives
6%
07.07.2020
/fstab
:
192.168.1.13:/home/laytonjb /mnt/data nfs \
auto,noatime,nolock,bg,nfsvers=4,intr,tcp 0 0
To check that the filesystem is mounted, I entered:
$ ls -s /mnt/data
total 32
4 Desktop/ 4 Documents
6%
10.06.2020
of Crystallographic Space Groups
3. Impact of Urban Weather on Building Energy Use
4. Computational Urban Data Analytics
5. Using Machine Learning to Understand Uncertainty in Subsurface Exploration
6. Using
6%
12.05.2020
TAG IMAGE ID CREATED SIZE
nvidia/cuda 10.1-base-ubuntu18.04 3b55548ae91f 4 months ago 106MB
hello-world latest fce289e99eb9 16 months ago 1.84kB
Running the nvidia
6%
15.04.2020
#pragma omp parallel
{
...}
#pragma end parallel
From the website, example code might look like:
with pymp.Parallel(4) as p:
for sec_idx in p.xrange(4):
if sec_idx == 0:
p
6%
18.03.2020
files for creating the container images. It was installed in the Anaconda distribution (Python plus R programming language), which included conda (a package and environment manager) version 4
6%
17.03.2020
102400 4 zfs,icp,znvpair,zcommon
With the four drives identified above, I create a ZFS RAIDZ pool, which is equivalent to RAID5,
$ sudo zpool create -f myvol raidz sdc sdd sde sdf
and verify the status
6%
19.02.2020
) with the exec
subcommand, or (4) with the shell
subcommand. Probably the easiest way to run the container is as a native command (i.e., execute the container’s runscript):
$ ./hello
6%
22.01.2020
--enable-orterun-prefix-by-default --with-cuda --with-verbs && \
make -j4 && \
make -j4 install && \
rm -rf /tmp/openmpi-3.0.0.tar.bz2 /tmp/openmpi-3.0.0
ENV PATH=/usr/local/openmpi/bin:$PATH \
LD
