9%
04.11.2011
and resource management, what next? Should you install Blender [16] and start rendering a feature-length movie? Will you install MPI and explore parallel computing [17]? Maybe you can run the Linpack benchmark
9%
22.05.2012
that combines the stateless OS along with important NFS-mounted file systems. In the third article, I will build out the development and run-time environments for MPI applications, and in the fourth article, I
9%
13.12.2022
is kind of meaningless. However, I am still a few steps away from having what I think is a modern cluster with compilers, MPI libraries, and a resource manager (aka a job scheduler). Moreover, my compute
9%
09.12.2019
to compile the code.
The original code, before using Numba, was around 140 seconds on my laptop. After using Numba and running on all eight cores of my laptop (four "real" cores and four Hyper Threading (HT
9%
19.10.2012
is accomplished using an SSH client or secure remote desktop interface from any Windows or Linux laptop, desktop, or workstation. Users are provided with an NFS-exported home directory with persistent storage
9%
07.07.2020
/fs/fscache/stats
(the primary main location)
/proc/fs/fscache/histogram
Setting Up CacheFiles
As a simple experiment, I NFS-exported my home directory from a laptop (running Xubuntu 20.04) to my primary
