The Raspberry Pi is a useful platform for self-hosting applications. More often than not self-hosted applications are supplied as container images. I used to run one application on one Raspberry Pi. The Raspberry Pi 4 ships with a 1.5GHz Quad-core CPU, USB3 and upto 8GB RAM. Here I am looking at clustering four to host …

Following on from base Ubuntu build here I begin to look at Parrallel Programming. Parrallel Programming Each Raspberry Pi is a small unit of compute, one of my goals is to understand how operating many in a cluster. There are various approaches to parallel computational models, message-passing has proven to be an …

Following on from base Ubuntu build here I look at the comparing the storage performance of SD and USB. SD Card Performance Linux FIO tool will be used to measure sequential write performance of a 4GB file: fio --randrepeat=1 --ioengine=libaio --direct=1 --gtod_reduce=1 --name=test --filename=test --bs=4k --iodepth=64 …

Following on from Raspberry Pi Cluster here I look at the base Ubuntu build. Install and Configure I used Raspberry Pi imager to install the Ubuntu 20.10 64bit on each SD Card. Insert these into the Pi’s and power them on. The image is configured with DHCP client, Pi device MAC addresses are prefixed DC:A6:32. I …

I have worked most of my professional life with systems built with Intel x86, x64 and ia64 chips. Intel processors use Complex Instruction Set Computing while Arm uses Reduced Instruction Set Computing. Processors with CISC architecture look to move complexity to hardware to simlify code, so small code sizes with high …