Nikolay Kolev nikolay

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

QEMU with VirtIO GPU Vulkan Support

With its latest reales qemu added the Venus patches so that virtio-gpu now support venus encapsulation for vulkan. This is one more piece to the puzzle towards full Vulkan support.

An outdated blog post on clollabora described in 2021 how to enable 3D acceleration of Vulkan applications in QEMU through the Venus experimental Vulkan driver for VirtIO-GPU with a local development environment. Following up on the outdated write up, this is how its done today.

Definitions

Let's start with the brief description of the projects mentioned in the post & extend them:

What is this?

Jetmove is a script I wrote to myself for some navigation and multiple carets features I felt were missing in Jetbrains IDEs.

It uses the excellent Live Plugin to run the script in the IDE.

All features support multiple carets, and are designed to work with them.

Features

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

How to use this gist

You've got two main options:

Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project:

Genomics - A programmer's guide.

Andy Thomason is a Senior Programmer at Genomics PLC. He has been witing graphics systems, games and compilers since the '70s and specialises in code performance.

https://www.genomicsplc.com

Name	Type	License	Tech
apostello	SMS communication	MIT	Python
Bible API	bible reference	MIT	Ruby
Bible Helper	bible reference	MIT	JavaScript
Cedar	media projection	MIT	JavaScript (Meteor)
Chabaa	service streaming and chat	GPLv3	PHP
CHUMS	ChMS	MIT	TypeScript
ChurchCRM	ChMS	MIT	PHP
ChurchInfo	ChMS	GPLv2	PHP

	#!/usr/bin/env bash

	cmd=$1
	chart=$2
	env=$3
	dir=${chart}-kustomize

	chart=${chart/.\//}

	build() {