12%
18.08.2021
The Darshan userspace tool is often used for I/O profiling of HPC applications. It is broken into two parts: The first part, darshan-runtime
, gathers, compresses, and stores the data. The second
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08.06.2021
installed into /usr/local/anaconda3
by
root
.
The startup definitions for Anaconda were in my .bashrc
file, so it ran just fine before building legate.core
.
The laptop I used has the following
12%
12.05.2021
, with capture tools such as these, latencies are introduced and may alter the original I/O profile being chased, so proceed with caution.
To disable all logging, type:
$ sudo scsi_logging_level -s -E 0 -L 0 -M
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11.05.2021
the LD_PRELOAD trick to have Octave call a different BLAS library, resulting in different, conceivably better, performance.
The test system is my Linux laptop:
CPU: Intel(R) Core(TM) i5-10300H CPU @2
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14.04.2021
(kind of like Top)
Nvidia GPU utilization metrics
Summary of free disk space, NIC IP address, and CPU frequency
Great battery information for laptops
By default, Zenith
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08.12.2020
Remora provides per-node and per-job resource utilization data that can be used to understand how an application performs on the system through a combination of profiling and system monitoring.
... Remora.
REMORA: REsource MOnitoring for Remote Applications, from the University of Texas Advanced Computing Center (TACC), combines monitoring and profiling to provide information about your application ...
Remora provides per-node and per-job resource utilization data that can be used to understand how an application performs on the system through a combination of profiling and system monitoring.
37%
12.11.2020
Tap into the power of MPI to run distributed Python code on your laptop at scale.
...
Tap into the power of MPI to run distributed Python code on your laptop at scale.
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13.10.2020
by parallelizing your code? Depending on your code and your skills, you have a number of paths to parallelization, but after some hard work profiling and lots of testing, your application is successfully
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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
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17.03.2020
, is very high because of the nature of randomized read I/O profiles and operations.
The amount of memory the ARC can use on your local system can be managed in multiple ways. For instance, if you want