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maohgad-web/Neural-coprocessor

Neural-coprocessor *MGPU Bridge* ReShade add-on that runs DLSS Neural Rendering on a second GPU while the first renders the game. Not SLI — neural post-processing is a terminal stage, so it can be executed on another device entirely. Measured on dual RTX 5060 Ti, with the method and the mistakes published.

★172STARS
⑂10FORKS
!8ISSUES
🏆#11,103GLOBAL RANK
🔥8DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#823

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+6+10+90
Per day111
Forks gained+1+3+10

Neural-coprocessor gained 10 stars in the last 30 days, about 1 a day, and now has 172. It is about 1 year old and has averaged roughly 172 stars a year. It ranks #823 among C++ repositories and #11,103 across all languages on GitHubRepo.

Trending Record

Neural-coprocessor has maintained a continuous presence across global trending indexes, peaking at #1989. Below is the 30-day activity profile:

💡 Overview

Neural-coprocessor is an open-source project written in C++: Neural-coprocessor *MGPU Bridge* ReShade add-on that runs DLSS Neural Rendering on a second GPU while the first renders the game. Not SLI — neural post-processing is a terminal stage, so it can be executed on another device entirely. Measured on dual RTX 5060 Ti, with the method and the mistakes published.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/maohgad-web/Neural-coprocessor.git
cd Neural-coprocessor

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Neural-coprocessor coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed Neural-coprocessor into C++ backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install Neural-coprocessor using your package manager: `git clone https://github.com/maohgad-web/Neural-coprocessor.git`

2

Initialize your project workspace or configuration file for Neural-coprocessor.

3

Import Neural-coprocessor into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Neural-coprocessor --help` to verify successful setup.

👍 Strengths

Active community backing with 172 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

maohgad-web/Neural-coprocessor is currently ranked #11,103 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,070 optuna/rustuna Rust ★ 173 Compare ↗
#11,070 ZealanL/RocketSim C++ ★ 173 Compare ↗
#11,070 troyedwardsjr/z2rs Rust ★ 173 Compare ↗
#11,070 amosgyamfi/SwiftUI-Agent-Thinking-Text-Animations Swift ★ 173 Compare ↗
#11,070 VAST-AI-Research/Mira-Scene Python ★ 173 Compare ↗
#11,103 maohgad-web/Neural-coprocessor This Project C++ ★ 172
#11,103 GetBusbar/busbar Rust ★ 172 Compare ↗
#11,103 fiyo/DBCheck Python ★ 172 Compare ↗
#11,103 ntalbott/query_trace Ruby ★ 172 Compare ↗
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Frequently Asked Questions

What does Neural-coprocessor do? +

Neural-coprocessor *MGPU Bridge* ReShade add-on that runs DLSS Neural Rendering on a second GPU while the first renders the game. Not SLI — neural post-processing is a terminal stage, so it can be executed on another device entirely. Measured on dual RTX 5060 Ti, with the method and the mistakes published.

What language is Neural-coprocessor written in? +

The primary language is C++. Topics include: software.

Is Neural-coprocessor actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 8 open issues being tracked.

How many stars does Neural-coprocessor have? +

Neural-coprocessor has 172 stars and 10 forks on GitHub.

How does Neural-coprocessor rank among GitHub repositories? +

With 172 stars, maohgad-web/Neural-coprocessor is ranked #11,103 globally across all repositories tracked on GitHubRepo and #823 among C++ projects.

What license is Neural-coprocessor distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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