17%
07.03.2019
implicit copy(f_new(2,2:ly-1,:))
Generating implicit copyin(e(:))
161, Complex loop carried dependence of f_new prevents parallelization
Loop
17%
12.05.2020
68e152db7e5bb36b1cca638",
"sha256:37b9a4b2218692d028f9f26aa9cb85bf1f56d9abe612ba31304643bdb448484f",
"sha256:b16af11cbf2977eb52ba4d6cee5b713721cc19812b8c90ea1f22e7e
17%
09.09.2024
.0.1 20240412 (experimental) [master r14-9935-g67e1433a94f] (Ubuntu 14-20240412-0ubuntu1)
Everything looks good: mpirun
is there and mpicc
points to gcc-14.0.1 (the host system is Ubuntu 22.04, for which gcc-14 does
17%
05.10.2018
info ruby # Needs to be v2.2+
$ curl -sSL https://rvm.io/mpapis.asc | gpg --import - # From here see https://tecadmin.net/install-ruby-latest-stable-centos
$ curl -L get.rvm.io | bash -s stable
$ source
17%
18.02.2018
. The required modifications are explained in the Huginn wiki [3].
The software is based on Ruby on Rails [4] and therefore requires an installed Ruby environment; in fact, it needs version 2.2 or 2
17%
09.12.2019
accelerations.
146 200 95.0 0.5 0.0 for i in range(0, d_num):
147 75150 29236.0 0.4 8.0 for j in range(0, p_num):
148 75000 57404.0 0.8 15
17%
25.02.2013
Type _i686_
The iostat run was started on 02/03/2013 at 15:59:00 PM.
Below are hyperlinks to various plots within the report.
CPU Utilization
IOwait Percentage Time
Steal Percentage Time
17%
12.03.2013
Kernel: 2.6.18-308.16.1.el5.centos.plus
Number of Cores 1
Core Type _i686_
The nfsiostat run was started on 02/10/2013 at 15:54:25 PM.
Below are hyperlinks to various plots within the report
17%
14.08.2020
_age Always - 1482
177 Wear_Leveling_Count 0x0013 098 098 000 Pre-fail Always - 15
179 Used_Rsvd_Blk_Cnt_Tot 0x0013 100 100 010 Pre-fail Always - 0
181 Program
17%
18.08.2021
the training code from Jason Brownlee’s Machine Learning Mastery website (How to Develop a CNN From Scratch for CIFAR-10 Photo Classification. Accessed July 15, 2021). I’ll start the training from the beginning
