#fura-utils
added #parallelization to the #opus conversion #bash script, and created a #flac conversion one,
you can find them as `fura-2opus` and `fura-2flac`, have fun mass converting! 😉
https://github.com/FraYoshi/fura-utils/commit/403e13e9fc7684f2552e7e0c2b059970f11b4e2c
oh, don't forget to install `parallel`, it is now a requirement for this script to work!
There was something interesting going on on one of my systems:
If a certain function in #Python was called as a separate process with the #multiprocessing library, then the sort_values function of #Pandas would just hang (and therefore the process would never produce the output I was waiting for). Called from the main process was OK.
The solution was to change the sorting algorithm by the `kind="stable"` parameter. Weird.
Ah yes, because the world was desperately incomplete without a way to hash a 25-byte string in merely 68 clock cycles. 😴🔧 Meanwhile, the rest of us are still waiting for the riveting sequel where we parallelize the #parallelization of parallelizing. 🚀💼
https://www.controlpaths.com/2025/06/29/parallelizing_sha256-calculation-fpga/ #hashing #innovation #tech #humor #developer #life #HackerNews #ngated
Link: https://mediatum.ub.tum.de/?id=601795 (It took digging to find this from the Wikipedia article [1] and the unsecured HTTP homepage for "BMDFM".)
```bibtex
@phdthesis{dissertation,
author = {Pochayevets, Oleksandr},
title = {BMDFM: A Hybrid Dataflow Runtime Parallelization Environment for Shared Memory Multiprocessors},
year = {2006},
school = {Technische Universität München},
pages = {170},
language = {en},
abstract = {To complement existing compiler-optimization methods we propose a programming model and a runtime system called BMDFM (Binary Modular DataFlow Machine), a novel hybrid parallel environment for SMP (Shared Memory Symmetric Multiprocessors), that creates a data-dependence graph and exploits parallelism of user application programs at run time. This thesis describes the design and provides a detailed analysis of BMDFM, which uses a dataflow runtime engine instead of a plain fork-join runtime library, thus providing transparent dataflow semantics on the top virtual machine level. Our hybrid approach eliminates disadvantages of the parallelization at compile-time, the directive based paradigm and the dataflow computational model. BMDFM is portable and is already implemented on a set of available SMP platforms. The transparent dataflow paradigm does not require parallelization and synchronization directives. The BMDFM runtime system shields the end-users from these details.},
keywords = {Parallel computing;Shared memory multiprocessors;Dataflow;Automatic Parallelization},
note = {},
url = {https://mediatum.ub.tum.de/601795},
}
```
[1]: https://en.wikipedia.org/wiki/Binary_Modular_Dataflow_Machine
#SMP #Parallelization #Multithreading #DependenceGraph #RunTime #DataFlow #VirtualMachine #VM #ParallelComputing #SharedMemoryMultiprocessors #AutomaticParallelization #CrossPlatform #Virtualization #Configware #Transputer
Ah, yes, because nothing says "cutting-edge tech" like juggling Git worktrees and #Tmux while your AI coding agent goes "brrr" 🙄. Truly groundbreaking stuff: discovering #parallelization in 2024 like it's a rare species. 🚀🔧
https://www.skeptrune.com/posts/git-worktrees-agents-and-tmux/ #cuttingEdgeTech #GitWorktrees #AICodingAgent #HackerNews #ngated
LLM Codegen go Brrr – Parallelization with Git Worktrees and Tmux
https://www.skeptrune.com/posts/git-worktrees-agents-and-tmux/
#HackerNews #LLM #Codegen #Tmux #Git #Worktrees #Parallelization
🐲 Oh, look! Someone spent their free time rendering 27,000 #dragons and 10,000 lights on a GPU—because that's the absolute pinnacle of #productivity, right? 🤖 Just what the world needed: another article about high-performance #parallelization strategies that only 0.000001% of the population will pretend to understand! 😂
https://logdahl.net/p/gpu-driven #GPU #techhumor #HackerNews #ngated
I'm excited to be heading back to an in-person conference! QA or the Highway is a week from today. There's still time to join us. Come hear me talk about #parallelization, #TestData, and #risk with our #SoftwareTesting #Automation and #DevOps. If you attend, please come say hi!
👋 Have you considered making your #iOS #app #modular 🛠? This approach has recently become very popular, offering various benefits like efficient work #parallelization 🏎️, #interchangeability 🧩, superior #separation of #concerns 🧠, and stricter adherence to #clean #code principles 👮♂️. Although modularity is hardly a rocket science, it can be more complex to set up. Are there apps that shouldn't use a modular design? Let's find out! Strap in and let’s take a look 🚀 https://swiftandmemes.com/how-to-build-a-robust-and-scalable-modular-ios-app/
We had a registration from Chicago, US-Il. After asking back, the student noticed that there are a few miles of water between Chicago and Mainz, Germany. He will probably be better off looking for a similar course in the US.
BTW, there are still some places available. #MPI #OpenMP #Parallelization for #C, #cpp, #Fortran and #Python for #HPC software.
One billion rows in Go: Nice explication of optimization and profiling techniques
https://benhoyt.com/writings/go-1brc/
#parallelization #optimization #programming #hashtables #golang #go #+
Ok, I'm a total `go` fan now. A hopeless groupie, after having seen how easy it is to write parallel code.
#golang #programming #concurrency #parallelization
https://kaushikghose.wordpress.com/2024/01/26/golang-7-parallelization/
Words of wisdom:
1. In High Performance Computing #HPC , it is not how fast you write the code, it is how fast the code you write runs.
2. It is all about memory: how much you use and how often you load it
3. If you load one value, you get six or eight
4. If there are any flows in your code, #parallelization will expose them
A Review of the Parallelization Strategies for Iterative Algorithms
Been having further discussion on #forth #parallelization and the challenges of #concatenative languages or #stack architecture in exploiting #ILP or #superscalar for #parallelcomputing , if you enjoy this kind of conversation and have or have something to share, please join us in https://discord.gg/Jq2FE3tg
my technical projects (underway) or interests, with hashtags, so findable:
book & blog series on software performance & scalability
#software #programming #performance #scalability #scaling #optimization #tuning #engineering #guides #HPC #BrendanGregg
my tech interests and favored tools:
#Go #Golang #Python #C #Linux #git #SQL #webdev #cloud #Internet #DistributedSystems #threading #concurrency #parallelization #EDA #queues #MessagePassing #CLI #TUI #curses #Terminals #consulting #Systems
#Introduction
I’m a #father, a #filmmaker, dabbler in #engineering of many types.
Technologically, my interests lie in the bleeding edge of possibility wherever I see it.
#nixos #nixflakes #foss
#haskell #GHC #dependentlytyped #dependenttypes #functionalprogramming
#plutus #cardano #smartcontracts #formalmethods #formalverification
#idris #swift #arduino #riscv #Rust
#decentralization #parallelization #biomimicry #buddhism #leftist
#cinelighting #cinematography
#anarchosyndicalism #science
'Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence', by Julie Nutini, Issam Laradji, Mark Schmidt.
http://jmlr.org/papers/v23/18-045.html
#parallelization #sparse #optimization
Good morning ☕️☕️
Can’t wait these build jobs to finish …
#Parallelization doesn’t always make everything faster
This year's programming revelation for me was the #multiprocessing library #ray. Now that I've discovered how easily you can adapt existing code to make it scale up to any number of nodes, I can never go back to Python's built-in multiprocessing, especially considering all the limitations that have suddenly evaporated in a ray :mind_blown: Also, the interface is so dead simple, I can't believe it. #python #programming #DataScience #bigdata #scalability #parallelization #interfaces #ux
