abishekmuthian

Why build Apache Arrow from source on ARM?

Apache Arrow is an in-memory data structure used in several projects. It's python module can be used to save what's on the memory to the disk via python code, commonly used in the Machine Learning projects. With low RAM, ARM devices can make use of it but there seems to be an configuration error with the packaged binaries as of version 0.15.1 and so we're forced to build and install from the source.

The installation build steps are based on official guidelines but modified for ARM and has taken clues from building Ray for ARM.

My setup

I'm using Nvidia Jetson nano.

Quad-core ARM® Cortex®-A57 MPCore processor

seanjtaylor

dustymabe

Test steps for atomic

Below are some steps to roughly test an atomic host from Project Atomic.

Booting with cloud-init

First step is to start an atomic host using any method/cloud provider

ramnathv

example.md: example.Rmd
	./knit

example.ipynb: example.md
	notedown example.md | sed 's/%%r/%%R/' > example.ipynb

endolith

Adaptation of Sethares' dissonance measurement function to Python

Example is meant to match the curve in Figure 3:

Original model used products of the two amplitudes a1⋅a2, but this was changed to minimum of the two amplitudes min(a1, a2), as explained in G: Analysis of the Time Domain Model appendix of Tuning, Timbre, Spectrum, Scale.

This weighting is incorporated into the dissonance model (E.2) by assuming that the roughness is proportional to the loudness of the beating. ... Thus, the amplitude of the beating is given by the minimum of the two amplitudes.