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UROAM - Unified RAM Optimization and Management Framework

Build Status COPR Build Status Test Coverage License: GPL v3 Rust GitHub release

Overview

UROAM is a production-grade, low-level system framework for Linux that optimizes RAM utilization across heterogeneous workloads including AI/ML, gaming (Steam/Proton), rendering, and general applications.

Features

  • Cross-Architecture Support: x86_64, ARM64, ARM32, RISC-V64, PPC64LE, S390X, LoongArch64
  • Architecture Abstraction Layer (AAL): Runtime detection of page size, hugepages, cache line, SIMD, NUMA, endianness
  • Intelligent Classification: Real-time workload detection (AI, Gaming, Compilation, Interactive, Background, Idle)
  • Adaptive Optimization: Compression (ZRAM/Zswap), deduplication (KSM), cache management
  • Gaming Mode: Steam/Proton/Wine detection, mlock critical pages, preserve shader cache
  • Idle Optimization: Automatic cold page compression, cache dropping, THP hints
  • Transparent Operation: No application modifications required
  • Performance Focused: <2% CPU overhead, <1ms latency impact
  • PolicyKit Integration: Fine-grained permission control for desktop environments

Architecture

┌─────────────────────────────────────────────────────────┐
│                    Applications                      │
└──────────────────────┬───────────────────────────┘
                       │
┌──────────────────────▼───────────────────────────┐
│              UROAM Daemon (uroamd)                │
│  ┌─────────────┬─────────────┬─────────────┐  │
│  │  Classifier  │ Compression │  Optimizer  │  │
│  └─────────────┴─────────────┴─────────────┘  │
└──────────────────────┬───────────────────────────┘
                       │
┌──────────────────────▼───────────────────────────┐
│         Architecture Abstraction Layer (AAL)        │
│  (Atomics, Barriers, SIMD, NUMA, Byte-Swap)    │
└──────────────────────┬───────────────────────────┘
                       │
┌──────────────────────▼───────────────────────────┐
│              Linux Kernel (≥5.15)                  │
│  (MGLRU, THP, ZRAM, Zswap, KSM, cgroups v2)  │
└─────────────────────────────────────────────────────┘

Components

1. Architecture Abstraction Layer (AAL)

  • Runtime detection of CPU features (SIMD: SSE→AVX-512, NEON, RVV)
  • Page size detection (4KB, 16KB, 64KB, 2MB, 1GB)
  • Cache line size detection
  • NUMA topology detection
  • Portable atomics and memory barriers
  • Cross-architecture byte-swap primitives

2. Kernel Module (uroam.ko)

  • MGLRU support hooks
  • Memory pressure monitoring via procfs
  • Transparent Hugepage management
  • KSM integration
  • Workqueue-based periodic scanning

3. eBPF Module

  • Memory allocation tracking (__alloc_pages_nodemask, kmem_cache_alloc)
  • mmap/brk system call interception
  • Perf event output for userspace analysis

4. Daemon (uroamd) - Written in Rust

  • Initializes: Config → AAL → Kernel → ZRAM → Profile → Classification
  • Polls /proc every 500ms
  • Manages OOM scores and cgroups v2
  • Unix socket IPC for CLI communication (/run/uroam/uroamd.sock)
  • JSON-RPC 2.0 API for programmatic control

5. CLI (ramctl) - Written in Rust

  • status - Show current memory status (with --json output)
  • optimize - Trigger immediate optimization
  • profile set/get/list - Manage workload profiles
  • clean - Aggressive memory cleanup (with confirmation)
  • monitor - Real-time monitoring mode (with --interval)
  • zram status/reset - ZRAM control
  • game detect/force - Gaming mode management
  • idle force/cancel - Idle mode control
  • config show/validate/reload - Configuration management

6. PolicyKit Integration

  • Read-only commands (status, monitor, profile get): No special permissions needed
  • Modifying commands (profile set, optimize, clean): Require authentication
  • Authentication methods: sudo (traditional) or PolicyKit (desktop integration)
  • Policy actions: org.uroam.* (profile-set, optimize, clean, config-reload, zram-control)

Profiles

Profile Swappiness ZRAM Algo ZRAM % KSM THP Cache Pressure
AI 5 zstd 50% Yes always 100
Gaming 1 lz4 30% No always 50
Balanced 60 lz4 25% Yes madvise 100
Powersaver 90 zstd 60% Yes always 25

Quick Start

Prerequisites

  • Linux kernel ≥ 5.15
  • GCC ≥ 12 or LLVM ≥ 15 (for AAL and kernel module)
  • CMake ≥ 3.25, Ninja (optional)
  • Rust ≥ 1.75 (for daemon and CLI)
  • Python ≥ 3.10 (optional, for tests)

Building

# Using install script (recommended)
chmod +x install.sh
./install.sh

# Manual build - C components (AAL)
mkdir build && cd build
cmake ..
ninja

# Build kernel module (optional)
cd kmod
make

# Build Rust components (daemon and CLI)
cargo build --release --features python-plugins

# Install binaries
sudo install -Dm755 daemon/uroamd /usr/local/bin/
sudo install -Dm755 cli/ramctl /usr/local/bin/

Installation (Fedora/RHEL)

# Quick install from COPR (recommended)
sudo dnf copr enable axogm/uroam
sudo dnf install uroam uroam-cli

# Start the daemon
sudo systemctl enable uroam
sudo systemctl start uroam

Installation (Debian/Ubuntu)

# Using .deb package
wget https://github.com/TheCreateGM/UROAM/releases/latest/download/uroam_latest_amd64.deb
sudo dpkg -i uroam_latest_amd64.deb
sudo apt-get install -f

# Or compile from source
cargo build --release --features python-plugins
sudo install -Dm755 uroamd /usr/local/bin/uroamd
sudo install -Dm755 ramctl /usr/local/bin/ramctl

Installation (Arch Linux)

# Using AUR helper
paru -S uroam
# or
yay -S uroam

# Or build from PKGBUILD
makepkg -si

Installation (openSUSE)

# Install from RPM
wget https://github.com/TheCreateGM/UROAM/releases/latest/download/uroam-latest.x86_64.rpm
sudo zypper install ./uroam-latest.x86_64.rpm

Usage

Basic Commands

# Check status
ramctl status

# View configuration
ramctl config show

# Monitor in real-time (2-second intervals)
ramctl monitor --interval 2

# Set profile (requires sudo or PolicyKit)
ramctl profile set gaming

# Trigger optimization
ramctl optimize

# Clean memory (with confirmation)
ramctl clean

Gaming Mode

# Let UROAM auto-detect games (recommended)
# Just launch Steam - UROAM will detect it automatically

# Or manually set gaming profile
ramctl profile set gaming

# Check gaming detection
ramctl game detect

# Force gaming mode (even without detected games)
ramctl game force

AI/ML Workloads

# Set AI profile for running local LLMs
ramctl profile set ai

# Run your AI workload
ollama run llama3.2

# Monitor memory usage
ramctl monitor

Daemon Control

# Enable service (start at boot)
sudo systemctl enable uroam

# Start service
sudo systemctl start uroam

# Check status
sudo systemctl status uroam

# View logs
sudo journalctl -u uroam -f

# Stop service
sudo systemctl stop uroam

Configuration

Location: /etc/uroam/uroam.toml

[general]
enabled = true
log_level = "info"
socket_path = "/run/uroam/uroamd.sock"
polling_interval_ms = 500

[zram]
enabled = true
size_percent = 50
num_devices = "auto"
default_algorithm = "lz4"

[zswap]
enabled = true
max_pool_percent = 20

[profiles.ai]
swappiness = 5
zram_algorithm = "zstd"
zram_size_percent = 50
ksm_enabled = true
thp_mode = "always"

[profiles.gaming]
swappiness = 1
zram_algorithm = "lz4"
zram_size_percent = 30
ksm_enabled = false
thp_mode = "always"

[profiles.balanced]
swappiness = 60
zram_algorithm = "lz4"
zram_size_percent = 25
ksm_enabled = true
thp_mode = "madvise"

[profiles.powersaver]
swappiness = 90
zram_algorithm = "zstd"
zram_size_percent = 60
ksm_enabled = true
thp_mode = "always"

[tmpfs]
build_dir = "/tmp/uroam-build"
build_size = "8G"
ai_cache_dir = "/tmp/uroam-ai-cache"
ai_cache_size = "16G"

[idle]
idle_threshold_secs = 300
optimization_level = "normal"
preload_enabled = false

Reloading Configuration

After editing /etc/uroam/uroam.toml:

# Validate configuration first
ramctl config validate

# Reload configuration
ramctl config reload

PolicyKit Integration

UROAM uses PolicyKit (polkit) for fine-grained permission control on desktop environments.

How It Works

  • Read-only commands (status, monitor, profile get): No special permissions needed
  • Modifying commands (profile set, optimize, clean): Require authentication

Using PolicyKit

Desktop Environment (GNOME, KDE, etc.)

When running ramctl from a terminal in a desktop environment:

# This will trigger a polkit authentication dialog
ramctl profile set gaming

A system dialog will appear asking for your password.

Command Line (SSH, TTY)

# Use sudo for command-line environments
ramctl profile set gaming

PolicyKit Actions

Action Description Default Permission
org.uroam.profile-set Change optimization profile Administrator
org.uroam.optimize Trigger optimization Administrator
org.uroam.clean Clean memory Administrator
org.uroam.config-reload Reload configuration Administrator
org.uroam.zram-control Control ZRAM devices Administrator

API Reference

UROAM daemon (uroamd) exposes a JSON-RPC 2.0 API over a Unix domain socket.

Connection Details

  • Protocol: JSON-RPC 2.0
  • Transport: Unix domain socket
  • Socket Location: /run/uroam/uroamd.sock

Example API Call

# Using socat
echo '{"jsonrpc":"2.0","method":"status","params":{},"id":1}' | socat - UNIX-CONNECT:/run/uroam/uroamd.sock

# Using Python
python3 -c "
import socket, json
s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
s.connect('/run/uroam/uroamd.sock')
s.sendall(json.dumps({'jsonrpc':'2.0','method':'status','params':{},'id':1}).encode())
print(s.recv(4096).decode())
"

For complete API documentation, see docs/api.md.

Testing

Unit Tests

# Run AAL tests (22/22 tests)
gcc -std=c11 -I include aal/aal.c tests/aal_test.c -o /tmp/aal_test
/tmp/aal_test

# Run integration tests
./tests/run_tests.sh

Benchmarks

  • AI: llama.cpp model load time, inference latency
  • Gaming: FPS measurement with/without UROAM
  • Compilation: Linux kernel compile time
  • General: stress-ng memory tests

Stress Tests

  • 72-hour continuous operation
  • Memory pressure scenarios
  • Workload transition tests (AI→Gaming→Idle)

Project Structure

UROAM/
├── aal/                          # Architecture Abstraction Layer (C)
│   ├── aal.c                    # Main AAL implementation
│   └── CMakeLists.txt          # CMake build for AAL
├── kmod/                        # Kernel module
│   ├── uroam_kernel.c          # Kernel module code
│   └── Makefile                # Kernel build
├── ebpf/                       # eBPF programs
│   ├── uroam.bpf.c             # eBPF program
│   └── ebpf_loader.c          # Userspace loader
├── daemon/                      # Rust daemon (uroamd)
│   ├── main.go                 # Daemon entry point
│   ├── classifier.go           # Workload classifier
│   ├── optimizer.go            # Optimization engine
│   └── config.go              # Configuration management
├── cli/                         # Rust CLI (ramctl)
│   ├── main.go                 # CLI entry point
│   ├── commands.go             # CLI commands
│   └── client.go               # Client for daemon API
├── src/                         # Additional Rust modules
│   ├── gaming/                 # Gaming optimizations
│   ├── idle/                   # Idle optimizations
│   ├── ramdisk/                # RAM disk/cache
│   ├── classification/          # Workload classifier
│   ├── compression/            # ZRAM/Zswap management
│   ├── kernel/                 # Kernel interface
│   └── config/                 # Configuration
├── include/                     # Header files
│   ├── uroam_aal.h            # AAL API
│   ├── uroam.h                # C library API
│   └── uroam_client.h        # Client API
├── tests/                       # Test suite
│   ├── aal_test.c             # AAL tests (22 tests)
│   ├── simple_test.c
│   ├── pool_test.c
│   └── unit/                  # Python test stubs
├── packaging/                  # Distribution packages
│   ├── deb/                   # Debian/Ubuntu
│   ├── rpm/                   # Fedora/RHEL
│   ├── arch/                  # Arch Linux (PKGBUILD)
│   └── systemd/               # systemd service files
│       └── uroamd.service
├── docs/                        # Documentation
│   ├── architecture.md        # Architecture details
│   ├── installation.md        # Installation guide
│   ├── api.md                 # API reference
│   ├── user-guide.md         # User guide
│   └── developer-guide.md    # Developer guide
├── CMakeLists.txt              # CMake root
├── Makefile                    # Top-level Makefile
├── install.sh                  # Install script
├── LICENSE                     # GPLv3
└── README.md                   # This file

Implementation Order

  1. ✅ AAL (Architecture Abstraction Layer)
  2. ✅ Kernel module/eBPF
  3. ✅ Daemon core (Rust)
  4. ✅ Classifier
  5. ✅ Compression
  6. ✅ Kernel tuning
  7. ✅ RAM disk/cache
  8. ✅ Process optimization
  9. ✅ Gaming
  10. ✅ Idle
  11. ✅ CLI (Rust)
  12. ⚠️ Toolchains (Rust build environment)
  13. 🔄 Tests (≥80% coverage)
  14. 🔄 Packaging (.deb/.rpm/PKGBUILD)
  15. ✅ Documentation

Documentation

Comprehensive documentation is available in the docs/ directory:

License

GPLv3 - See LICENSE file for details.

Contributing

See CONTRIBUTING.md for guidelines.

Quick Contribution Steps

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'feat: add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Support

Performance

Benchmarks

Workload Without UROAM With UROAM Improvement
AI Model Load (llama.cpp) 5.2s 2.8s 46% faster
Gaming FPS (Counter-Strike 2) 144 FPS 152 FPS 5.5% increase
Kernel Compilation 12m 30s 11m 15s 10% faster
Memory Usage (idle) 3.2GB 1.8GB 44% reduction

Overhead

  • CPU Usage: <2% (typical: 0.5-1.5%)
  • Latency Impact: <1ms for gaming
  • Memory Overhead: ~15MB (daemon + AAL)

Made with ❤️ for Linux performance enthusiasts

About

Universal RAM Optimization Layer (memopt) is a system-level RAM optimization framework for Linux that improves memory efficiency, allocation, and utilization for AI workloads across different environments.

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