17%
30.01.2020
_time)
print(" Time taken in seconds: {0} s").format(time_taken_in_micro)
If a section of code is called repeatedly, just sum the elapsed times for the section and sum the number of times that section
17%
13.07.2022
is a screen on:
8520.pts-0.laytonjb-desktop (07/06/2022 12:45:36 PM) (Detached)
1 Socket in /run/screen/S-user1.
The output from the command lists the sessions that are available. You can reconnect to a session
17%
10.06.2024
in gigaflops per watt over time. The first Green500 list was in June 2013. The number 1 system used GPUs even then (NVIDIA K20 with QDR InfiniBand). The energy efficiency was 3,208.8Mflops/W (0.32Gflops
17%
05.02.2023
WinGet on Server 2022 (e.g., as described by Andreas Nick [6]), WinGet is not officially supported there.
WinGet is already pre-installed on the current builds of Windows 10 and 11, which gives you
17%
12.05.2021
you are interested (Listing 1).
Listing 1: sg_logs
$ sudo sg_logs /dev/sdc
SEAGATE ST14000NM0001 K001
Supported log pages [0x0]:
0x00 Supported log pages [sp]
0x02
17%
02.08.2021
14000NM0001 K001
Supported log pages [0x0]:
0x00 Supported log pages [sp]
0x02 Write error [we]
0x03 Read error [re]
0x05 Verify error [ve]
0x06
17%
13.04.2023
-*-
--------------------------------------------------------------------------------
-- Anaconda (Python) (Version 22.9.0 Python 3.9.13 (main, Aug 25 2022, 23:26:10)
--------------------------------------------------------------------------------
help(
[[
This module loads Anaconda so you can
17%
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
17%
16.03.2021
/O requests and write that same amount of data in a stripe across multiple drives (e.g., RAID0), you are reducing the amount of work that a single drive must perform to accomplish the same task. For magnetic
17%
11.05.2021
TDP 75W
Base clock 1,485GHz
Boost clock 1,665MHz
896 CUDA cores
The laptop runs Ubuntu 20.04 with the 455.45.01 Nvidia driver, and CUDA 11.2. Octave 5.2.0 was used for the tests. All