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53%
Read-only File Compression with SquashFS
14.06.2017
Home »  HPC  »  Articles  » 
/laytonjb/squashfs/20170502.sqsh -comp lzma -b 1048576 The directory I’ve used in the examples is full of PDF and ZIP files. I didn’t expect it to compress too much, but I did get some compression. As an experiment, I tried
53%
Where Does Job Output Go?
11.09.2023
Home »  HPC  »  Articles  » 
this can be done without adding much (any?) additional capacity and almost always means that the cost per gigabyte increases, so the overall cost for the same amount of space goes up. I’ve never seen storage
53%
Tools to Manage Storage
03.02.2024
Home »  HPC  »  Articles  » 
of articles on Linux storage, I've tried to point to tools for managing and monitoring the storage stack where possible. Regardless of whether you work with proprietary or Linux-based storage, the first step
53%
Using benchmarks to your advantage
10.04.2015
Home »  Archive  »  2015  »  Issue 26: OpenS...  » 
Lead Image © Tom De Spiegelaere, 123RF.com
) field. I've found they really stress the CPU, memory bandwidth, and network in various ways. OpenMP and MPI versions of NPB "classes" allow you to run different data sizes. Plus, they are very easy
53%
Read-only file compression with SquashFS
14.08.2017
Home »  Archive  »  2017  »  Issue 40: Lean...  » 
Lead Image © modella, 123RF.com
. The simple command that uses the LZMA compression and a 1MiB block size would be: $ mksquashfs /home/laytonjb/20170502 /home/laytonjb/squashfs/20170502.sqsh -comp lzma -b 1048576 The directory I've used
53%
Securing containers with Anchore
07.06.2019
Home »  Archive  »  2019  »  Issue 51: Self-...  » 
Lead Image © loiic, Fotolia.com
generated information. Fear, Uncertainty, and Doubt To get Anchore up and running, you first need to install Docker Compose. If I'm honest, I've not always been a massive fan, but Docker Compose certainly
53%
Improved Performance with Parallel I/O
08.10.2015
Home »  Archive  »  2015  »  Issue 29: Rescu...  » 
Lead Image © Ying Feng Johansson, 123RF.com
Lately I've been looking at application timing to find bottlenecks or time-consuming portions of code. I've also been reading articles about improving applications by parallelization. Once again
53%
Where does job output go?
28.11.2023
Home »  Archive  »  2023  »  Issue 78: Domai...  » 
Photo by Charles Forerunner on Unsplash
?) additional capacity and almost always means that the cost per gigabyte increases, so the overall cost for the same amount of space goes up. I've never seen storage solution costs go down with faster
53%
Co-Design Approach to Supercomputing
12.01.2012
Home »  HPC  »  Articles  » 
that I’ve not asked? MW: Our feeling is that aggressive hardware/software co-design is the most economical (and hence practical) way to achieve exascale scientific computing. Our ideas are not without
53%
AMD’s Greg Stoner on ROCm
31.10.2017
Home »  HPC  »  Articles  » 
, and you’re ready to go. I’ve been working with Linux for a long time. I ran a sysop team before I came to AMD. I used to run big clusters and storage arrays. We were all CentOS-based back then. I brought

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