15%
26.01.2025
S.M.A.R.T. data makes CrystalDiskInfo an ideal tool for admins who want to analyze and monitor hard drives.
AIDA64
AIDA64 [6] is only available in various commercial versions. AIDA64 Extreme (around
15%
31.10.2025
of things relating to TCP and UDP since its inception. These days, it handles IPv6 as well as IPv4 beautifully. Its astounding versatility means that integrating it with scripts is a veritable piece of cake
15%
30.11.2025
's not how it started, as Razi Sharir from Xeround [6] explained:
Xeround was founded back in 2005 with a different premise. Looking to becoming a world leader in telco internal operations and services
15%
30.11.2025
to localhost. Users can use either the console or SSH, NoMachine, or RDP on the local network.
Namazu
Namazu [6] is a full-text search engine that lets you search the archive. The program collaborates with web
15%
30.11.2025
to view other system folders, such as the trash or the Action Center:
645FF040-5081-101B-9F08-00AA002F954E
BB64F8A7-BEE7-4E1A-AB8D-7D8273F7FDB6
respectively. A full list is available at the MSDN Library
15%
30.11.2025
of the million busiest sites on the web – compared with less than 17 percent for Microsoft's IIS and nearly 6 percent for the up and coming Nginx HTTP and reverse proxy server.
Apache is a fairly mature project
15%
30.11.2025
stymied the growth of this sector. Addressing this audience (see the Council On Competitiveness [6]) can have a huge effect on both the HPC market and the entire economy. Again, the solution lives across
15%
20.11.2013
. In my case, I followed the installation instructions for CentOS on my CentOS 6.4 system. The instructions are very good and very accurate – be sure you read all of it before trying to install s3q
l
15%
08.08.2014
]
Python [6]
Julia (up and coming) [7]
Java [8]
Matlab [9] and Matlab-compatible tools (Octave [10], Scilab [11], etc.)
Java is the lingua franca of MapReduce [12] and Hadoop
15%
07.03.2019
this code, I’ll be a little naive and just use the data copy
directive to copy the data from the CPU to the GPU and back (Table 6). Notice that each kernel parallel loop
directive has its own data copy
