Applications
Applications are what make computing happen.
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- Written by Douglas Eadline
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From the getting your cores off the sofa department
Every now and then there are really nifty multi-core applications that help with some of the more mundane Linux HPC chores. The -j option for make is one such example. I recently stumbled upon two other applications that take advantage of multi-core for file compression.
The two packages are parallel gzip and parallel bzip2. As you might surmise, each application uses multiple cores to speed up the compression of large files. I checked to see if these were in the Scientific Linux Yum repository, but they did not show up when I tried to install them. Thus, I decided to build them myself.
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- Written by Jeff Layton
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One step closer to the "-gpu" option
I'm sure by now everyone has heard that you can run real code on GPU's (Graphical Processing Units). GPUs are the graphics card in your desktop or even the graphic engines running your game consoles at home (never at work - right?). The potential performance improvement for codes or algorithms that can take advantage of the GPU's programming model and do most of their computation on the GPU is enormous. There are cases of over a 100X performance improvement for some codes running on GPUs relative to CPUs.
But there are some limitations to using GPUs for computation. One of the critical limitations is that you have to take your code and rewrite it for the GPU as in the case of Brook+ from AMD or OpenCL from the Kronos Group. Alternatively, you may have to "adapt" your C code to use some extra functions and data types (extensions) in the case of CUDA from NVIDIA. Unfortunately, you just can't take your existing code with a compiler and use a compile option such as "-gpu" to magically build code for the GPU... or can you?
HPCWire
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UT’s Texas Institute for Electronics and Infleqtion Launch Quantum Manufacturing Center of Excellence
UT’s Texas Institute for Electronics and Infleqtion Launch Quantum Manufacturing Center of Excellence
AUSTIN, Texas, Oct. 4, 2023 — The University of Texas at Austin and Infleqtion, a global quantum technologies company, have signed a memorandum of understanding to develop a new center […] The post UT’s Texas Institute for Electronics and Infleqtion[…]
Source: HPCwire
Created on: Oct 4, 2023 | 22:26 pm
HPCwire | Oct 4, 2023 | 22:26 pm -
Keshav Pingali Receives Ken Kennedy Award for High Performance and Parallel Computing
Keshav Pingali Receives Ken Kennedy Award for High Performance and Parallel Computing
Oct. 4, 2023 — It’s 4 a.m. in Italy. Jet lagged before a conference, Keshav Pingali, professor of Computer Science and core faculty member at the Oden Institute for Computational Engineering and Sciences, found […] The post Keshav Pingali Receives Ken Kennedy Award for[…]
Source: HPCwire
Created on: Oct 4, 2023 | 21:17 pm
HPCwire | Oct 4, 2023 | 21:17 pm -
OpenTopography Recognized for Excellence in Advancing Open Earth and Space Science
OpenTopography Recognized for Excellence in Advancing Open Earth and Space Science
Oct. 4, 2023 — OpenTopography, a National Science Foundation (NSF)-funded data facility operated collaboratively between the San Diego Supercomputer Center (SDSC) at University of California San Diego, EarthScope Consortium and […] The post OpenTopography Recognized for Excellence in Advancing Open[…]
Source: HPCwire
Created on: Oct 4, 2023 | 21:00 pm
HPCwire | Oct 4, 2023 | 21:00 pm
