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14.06.2017
/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%
11.09.2023
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%
03.02.2024
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%
10.04.2015
) 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
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14.08.2017
.
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
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07.06.2019
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%
08.10.2015
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
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28.11.2023
?) 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
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12.01.2012
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
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31.10.2017
, 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