Skip to content

Neuralbytesfl/algorithms

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Algorithms and Misc Experiments

Personal experimentation repository focused on:

  • algorithms
  • systems programming
  • AI orchestration
  • compute benchmarking
  • synthetic datasets
  • distributed compute concepts
  • infrastructure automation
  • sandbox experimentation
  • memory systems
  • misc prototypes and research ideas

This repository is intentionally broad and experimental.

Repository Purpose

The goal of this repository is to preserve evolving experiments, benchmarks, code, architectural concepts, notes, and AI-assisted development workflows.

Rather than keeping experiments isolated to temporary conversations or local machines, this repository acts as:

  • persistent experimentation memory
  • versioned benchmark archive
  • AI collaboration workspace
  • reproducible compute environment
  • systems research notebook

Major Workspace Areas

/remote-anything
    AI orchestration and persistent experimentation workspace

/meta-ai
    synthetic evaluation, compute tasks, and benchmark storage

Existing Sorting Research

One major active area in this repository explores specialized integer sorting algorithms.

Current included work:

  • radix16.cpp
  • bench_sort.cpp
  • index.html

The core idea explores whether specialized fixed-width numeric sorting can outperform general comparison sorting under specific workloads.

Example Results

Measured on large random integer workloads:

adaptive_int_sort: 169.153 million ints/sec
std_sort:           20.780 million ints/sec

Under those conditions, the adaptive integer path achieved roughly 8x higher throughput.

Experimental Direction

Current experimentation includes:

  • adaptive sorting
  • remote orchestration concepts
  • persistent AI memory systems
  • synthetic evaluation loops
  • compute benchmarking
  • AI-assisted systems programming
  • infrastructure-driven cognition workflows

Philosophy

The repository is designed to evolve continuously.

Experiments are expected to:

  • change rapidly
  • branch frequently
  • include unfinished ideas
  • preserve benchmarks and results
  • document evolving architectural concepts

This is both a research archive and an active experimentation environment.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors