-
Add
Enable=Source
to /etc/bluetooth/audio.conf right after[General]
. -
Find address in form XX:XX:XX:XX:XX:XX of phone with
hcitool scan
. -
Pair and trust smartphone with
sudo bluez-simple-agent hci0 XX:XX:XX:XX:XX:XX
andsudo bluez-test-device trusted XX:XX:XX:XX:XX:XX yes
. -
Create loopback in pulseaudio connection bluetooth a2dp source with alsa sink:
#!/bin/bash | |
podman ps | |
podman inspect $(podman ps -q) |grep EXPERIMENTAL_BPF_SAMPLE_RATE | |
cpu_intensive_task() { | |
local n=3000 | |
local a=101 | |
local b=303 | |
local product=0 | |
for (( k=0; k<n; k++ )) |
This tutorial will turn your Raspberry PI into a simple Bluetooth audio receiver, which plays music through connected speakers. It's like a regular car audio system, but it can be used anywhere and it's a good value.
Audio source (i.e. smartphone)
|
v
((( Wireless Bluetooth Channel )))
|
apiVersion: v1 | |
kind: Namespace | |
metadata: | |
labels: | |
sustainable-computing.io/app: kepler | |
name: kepler | |
--- | |
apiVersion: v1 | |
kind: ServiceAccount | |
metadata: |
The following create a minikube with 10 CPU cores and 32GB memory. This is for experiments with heavy workload.
It uses kvm hypervisor. Make sure the qemu and libvirt have already installed
minikube start --cpus 10 --memory 32GB --disk-size=400g --extra-disks=2 --driver=kvm2 --force --container-runtime cri-o
Complete System Power Estimation using Processor Performance Events https://lca.ece.utexas.edu/pubs/bircher-TC2012.pdf
Power estimate wiki (before 2012) https://en.wikipedia.org/wiki/Run-time_estimation_of_system_and_sub-system_level_power_consumption
We have presented a systematic study on the use of performance counters to estimate power online. We found a subset of counters (# Fetched instructions, L1 hit and Dispatch Stalls) that are suitable for estimating power across multiple architecture types within an error of 5%. This was illustrated using an OOO high performance (HPerf) and an in-order low power (LP) core. At 5% average error, the proposed estimator improves upon prior estimators with error of 9% [3] and 11.5% [4].