Ciro Santilli @cirosantilli  40

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Indian classical singer Updated 2025-07-16

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Pineapple jelly with cream Updated 2025-07-16

December 2023: www.tudogostoso.com.br/receita/81176-gelatina-de-abacaxi-com-creme-de-leite.html Terribly explained recipe! Used 5 spoons of sugar rather than 10, and a 300ml cup of double cream. Turned out OK, except that the cream condensed all on top, and assumed the same coarse texture as when you do a fatty beef and let it cool, so not so nice,

Maybe this would be more successful: receitas.globo.com/tipos-de-prato/doces-e-sobremesas/gelatina-de-abacaxi-4e64345bddf17214b4003e71.ghtml They also use condensed milk, and beat the cream with the jelly, so it might mix better? It didn't really.

June 2024: Now going for:

4 cups of water
1 spoon of sugar
just drop 150 ml double cream on top after jelly and mix with spoon since anything else was pointless to get mixture

For some reason it became too liquid this time, the jelly didn't work very well. Not sure why. The pineapple was a bit large.

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Brazilian creamy cornmeal cake Updated 2025-07-16

www.tudogostoso.com.br/receita/3468-bolo-de-fuba-cremoso.html

December 2023:
- replacements:
  - used 3 soy milk + 1 milk cup instead of 4 milk
  - salted butter rather than margarine
  - 1 cup of sugar rather than 3, because OMG 3 cups of sugar for 4 cups of milk is insane, Brazil!
Turned out very good.

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Brazilian cuisine Updated 2025-07-16

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Culture of Brazil Updated 2025-07-16

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AWS Deep Learning Base GPU AMI (Ubuntu 20.04) Updated 2025-07-16

These come with pre-installed drivers, so e.g. nvidia-smi just works on them out of the box, tested on g5.xlarge which has an Nvidia A10G GPU. Good choice as a starting point for deep learning experiments.

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Unable to lock screen on Ubuntu Updated 2025-07-16

Happened on P14s on Ubuntu 23.10, which started with fresh Ubuntu 23.10 install.

However it did not happen on Lenovo ThinkPad P51 (2017) also on Ubuntu 23.10 which had been upgraded several times from God knows what starting point... At first one had X11 (forced by Nvidia drivers) and the other Wayland, but moving to p14s X11 changed nothing.

Both were running GNOME Display Manager.

Same happens with Super + L, but also CLI commands: askubuntu.com/questions/7776/how-do-i-lock-the-desktop-screen-via-command-line

Bibliography:

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gfx_v11_0_priv_reg_irq: register access in command stream Updated 2025-07-16

Had this happen on P14s on Ubuntu 23.10 while causally using Chromium. The screen went blank for a few seconds, but it apparently managed to reboot itself, and things started working again, except that and most windows were killed:

[drm:gfx_v11_0_priv_reg_irq [amdgpu]] *ERROR* Illegal register access in command stream
[drm:amdgpu_job_timedout [amdgpu]] *ERROR* ring gfx_0.0.0 timeout, signaled seq=5774109, emitted seq=5774111
[drm:amdgpu_job_timedout [amdgpu]] *ERROR* Process information: process chrome pid 14023 thread chrome:cs0 pid 14087
amdgpu 0000:64:00.0: amdgpu: GPU reset begin!
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=3
[drm:amdgpu_mes_unmap_legacy_queue [amdgpu]] *ERROR* failed to unmap legacy queue
[drm:gfx_v11_0_cp_gfx_enable.isra.0 [amdgpu]] *ERROR* failed to halt cp gfx
Dec 27 15:03:38 ciro-p14s kernel: amdgpu 0000:64:00.0: amdgpu: MODE2 reset
Dec 27 15:03:38 ciro-p14s kernel: amdgpu 0000:64:00.0: amdgpu: GPU reset succeeded, trying to resume
Dec 27 15:03:38 ciro-p14s kernel: [drm] PCIE GART of 512M enabled (table at 0x0000008000900

It appears to be a bug in the AMDGPU open source driver.

Related reports:

I think this was on Wayland. Possibly relatd but on X Window System, crashed the UI, showed message "oh no! Something has gone wrong."

2024-01-13_21-55-07@ciro@ciro-p14s$ cat /var/log/apport.log
ERROR: apport (pid 975172) 2024-01-13 21:41:02,087: host pid 3528 crashed in a separate mount namespace, ignoring
INFO: apport (pid 975227) 2024-01-13 21:41:02,398: called for pid 2728, signal 5, core limit 0, dump mode 1
INFO: apport (pid 975227) 2024-01-13 21:41:02,401: executable: /usr/bin/gnome-shell (command line "/usr/bin/gnome-shell")
INFO: apport (pid 975227) 2024-01-13 21:41:12,667: wrote report /var/crash/_usr_bin_gnome-shell.1000.crash

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gfx1103 Updated 2025-07-16

Mentioned e.g. at: videocardz.com/newz/amd-begins-rdna3-gfx11-graphics-architecture-enablement-for-llvm-project as being part of RDNA 3.

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AerError: 'unknown instruction Updated 2025-07-16

You get an error like this if you forget to call qiskit.transpile():

qiskit_aer.aererror.AerError: 'unknown instruction: QFT'

Related: quantumcomputing.stackexchange.com/questions/34396/aererror-unknown-instruction-c-unitary-while-using-control-unitary-operator/35132#35132

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Argos Translate Updated 2025-07-16

OpenNMT CLI front-end.

Hello world: askubuntu.com/questions/380847/is-it-possible-to-translate-words-via-terminal/1309774#1309774

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Ollama Updated 2025-07-16

github.com/jmorganca/ollama

Ollama is a highly automated open source wrapper that makes it very easy to run multiple Open weight LLM models either on CPU or GPU.

Its README alone is of great value, serving as a fantastic list of the most popular Open weight LLM models in existence.

Install with:

curl https://ollama.ai/install.sh | sh

The below was tested on Ollama 0.1.14 from December 2013.

Download llama2 7B and open a prompt:

ollama run llama2

On P14s it runs on CPU and generates a few tokens per second, which is quite usable for a quick interactive play.

As mentioned at github.com/jmorganca/ollama/blob/0174665d0e7dcdd8c60390ab2dd07155ef84eb3f/docs/faq.md the downloads to under /usr/share/ollama/.ollama/models/ and ncdu tells me:

--- /usr/share/ollama ----------------------------------
    3.6 GiB [###########################] /.ollama
    4.0 KiB [                           ]  .bashrc
    4.0 KiB [                           ]  .profile
    4.0 KiB [                           ]  .bash_logout

The file:

/usr/share/ollama/.ollama/models/manifests/hf.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated-GGUF/Q2_K

gives a the exact model name and parameters.

We can also do it non-interactively with:

/bin/time ollama run llama2 'What is quantum field theory?'

which gave me:

0.13user 0.17system 2:06.32elapsed 0%CPU (0avgtext+0avgdata 17280maxresident)k
0inputs+0outputs (0major+2203minor)pagefaults 0swaps

but note that there is a random seed that affects each run by default. ollama-expect is an attempt to make the output deterministic.

Some other quick benchmarks from Amazon EC2 GPU on a g4nd.xlarge instance which had an Nvidia Tesla T4:

0.07user 0.05system 0:16.91elapsed 0%CPU (0avgtext+0avgdata 16896maxresident)k
0inputs+0outputs (0major+1960minor)pagefaults 0swaps

and on Nvidia A10G in an g5.xlarge instance:

0.03user 0.05system 0:09.59elapsed 0%CPU (0avgtext+0avgdata 17312maxresident)k
8inputs+0outputs (1major+1934minor)pagefaults 0swaps

So it's not too bad, a small article in 10s.

It tends to babble quite a lot by default, but eventually decides to stop.

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GitHub book repo Updated 2025-07-16

Some amazing people have put book source codes on GitHub. This is a list of such repos.

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g5.xlarge Updated 2025-07-16

1 Nvidia A10G GPU, 4 vCPUs.

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g4nd.xlarge Updated 2025-07-16

1 Nvidia T4 GPU, 4 vCPUs.

Mentioned at: aws.amazon.com/ec2/instance-types/g4/

TODO meaning of "nd"? "n" presumably means Nvidia, but what is the "d"? Compare it g4ad.xlarge which has AMD GPUs. aws.amazon.com/ec2/instance-types/g4/ mentions:

G4 instances are available with a choice of NVIDIA GPUs (G4dn) or AMD GPUs (G4ad).

Price:

2025-03-10: 0.526 USD / Hour

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g4ad.xlarge Updated 2025-07-16

AMD GPUs as mentioned at: aws.amazon.com/ec2/instance-types/g4/

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Jena SPARQL hello world Updated 2025-07-16

They have a tutorial at: jena.apache.org/tutorials/sparql.html

Once you've done the Apache Jena CLI tools setup we can query all users with Full Name (FN) "John Smith" directly fom the rdf/vcard.ttl Turtle RDF file with the rdf/vcard.rq SPARQL query:

sparql --data=rdf/vcard.ttl --query=rdf/vcard.rq

and that outputs:

---------------------------------
| x                             |
=================================
| <http://somewhere/JohnSmith/> |
---------------------------------

Bibliography:

stackoverflow.com/questions/41959550/cli-tool-ala-csvsql-for-sparql-and-ttl-n3-files-hello-world-example-for

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Apache Jena CLI tools setup Updated 2025-07-16

The CLI tools don't appear to be packaged for Ubuntu 23.10? Annoying... There is a package libapache-jena-java but it doesn't contain any binaries, only Java library files.

To run the CLI tools easily we can download the prebuilt:

sudo apt install openjdk-22-jre
wget https://dlcdn.apache.org/jena/binaries/apache-jena-4.10.0.zip
unzip apache-jena-4.10.0.zip
cd apache-jena-4.10.0
export JENA_HOME="$(pwd)"
export PATH="$PATH:$(pwd)/bin"

and we can confirm it works with:

sparql -version

which outputs:

Apache Jena version 4.10.0

If your Java is too old then then running sparql with the prebuilts fails with:

Error: A JNI error has occurred, please check your installation and try again
Exception in thread "main" java.lang.UnsupportedClassVersionError: arq/sparql has been compiled by a more recent version of the Java Runtime (class file version 55.0), this version of the Java Runtime only recognizes class file versions up to 52.0
        at java.lang.ClassLoader.defineClass1(Native Method)
        at java.lang.ClassLoader.defineClass(ClassLoader.java:756)
        at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
        at java.net.URLClassLoader.defineClass(URLClassLoader.java:473)
        at java.net.URLClassLoader.access$100(URLClassLoader.java:74)
        at java.net.URLClassLoader$1.run(URLClassLoader.java:369)
        at java.net.URLClassLoader$1.run(URLClassLoader.java:363)
        at java.security.AccessController.doPrivileged(Native Method)
        at java.net.URLClassLoader.findClass(URLClassLoader.java:362)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
        at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:621)

Build from source is likely something like:

sudo apt install maven openjdk-22-jdk
git clone https://github.com/apache/jena --branch jena-4.10.0 --depth 1
cd jena
mvn clean install

If you make the mistake of trying to run the source tree without build:

git clone https://github.com/apache/jena --branch jena-4.10.0 --depth 1
cd jena
export JENA_HOME="$(pwd)"
export PATH="$PATH:$(pwd)/apache-jena/bin"

it fails with:

Error: Could not find or load main class arq.sparql

as per: users.jena.apache.narkive.com/T5TaEszT/sparql-tutorial-querying-datasets-error-unrecognized-option-graph

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List of AWS AMIs Updated 2025-07-16

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Laucnh Amazin EC2 with existing EBS volume Updated 2025-07-16

Not possible directly without first creating an AMI image from snapshot? So annoying!

The hot and more expensive sotorage for Amazon EC2, where e.g. your Ubuntu filesystem will lie.

The cheaper and slower alternative is to use Amazon S3.

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