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32%
Selecting compilers for a supercomputer
18.02.2018
Home »  Archive  »  2018  »  Issue 43: Real...  » 
Lead Image Photo by Michal Kmet on Unsplash
code is written and compiled in one of three classic HPC languages: Fortran [2], C++ [3], or C [4]. Why these languages? Because they have enabled generation of very efficient code for a long time
32%
Automate Active Directory management with the Python PyAD library
28.11.2023
Home »  Archive  »  2023  »  Issue 78: Domai...  » 
Lead Image © Eric Issele, 123RF.com
. The Python you need is available from the Python website [2]. For this project, I used the 3.11.3 version current at the time of writing and the Windows Installer for 64-bit architectures. For easier handling
32%
Finding the fastest SD cards for the Raspberry Pi
03.08.2023
Home »  Archive  »  2023  »  Issue 76: Energ...  » 
Lead Image © Lucy Baldwin, 123RF.com
At least 90MBps A1 Application performance class 1 At least 1,500 4K random read, 500 write IOPSAt least 10MBps sustained sequential write A2 Application performance class
32%
CloudStack's Chip Childers
29.10.2013
Home »  Articles  » 
 
, but with Apache CloudMonkey 5.0.0, the CLI can actually query the API endpoint of the target cloud and automatically discover the capabilities of that environment. Apache CloudStack 4.2 and will be out by the time
32%
Moving HPC to the Cloud
19.10.2012
Home »  HPC  »  Articles  » 
is US$ 3.1/hour. Thus, using the small usage case (80 cores, 4GB of RAM per core, and basic storage of 500GB) would cost US$ 24.00/hour (10 Eight Extra Large Instances). The larger usage case (256 cores
32%
What's New at OpenMP
30.01.2013
Home »  HPC  »  Articles  » 
from NVidia, or AMD, or DSP, that adds another whopping 2,500GFLOPS that you’re not able to access unless you drop down into some proprietary code. OpenMP 4.0 will let you address the entire machine
32%
Moore's Law Continues its Unwavering March
09.10.2013
Home »  HPC  »  Articles  » 
is effectively designed like a supercomputer, with a host-side, dual-core Zynq-7010 ARM A9 CPU running Ubuntu 12.04, flanked by a 16-core Epiphany accelerator running at 700MHz. Priced at US$ 99, as opposed
32%
Power Talk
01.10.2011
Home »  Articles  » 
 
that are integer-based, there may be headroom to boost, and workloads like cloud, virtualization, and database will clearly be able to boost. We have two levels of boost, an all-core boost that is 3-500MHz of boost
32%
Interview: AMD’s John Fruehe, Director of Server Product Marketing
04.11.2011
Home »  HPC  »  Articles  » 
, virtualization, and database will clearly be able to boost. We have two levels of boost, an all-core boost that is 3-500MHz of boost across all cores for most workloads, and even higher boost if some of the cores
32%
Secret Sauce
09.11.2017
Home »  Articles  » 
to the benefits of GPU acceleration for coders from a wide range of backgrounds. For this article, Sander adds that the benefits for Python programmers are particularly significant. “A lot of Python code is used

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