Java interface for Nvidia's CUDA driver
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#701
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
javaCUDA gained 10 stars in the last 30 days, about 1 a day, and now has 3. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #701 among Java repositories and #12,242 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#12923
BEST RANK
Sep 29, 2026
FIRST APPEARANCE
Active
STATUS TODAY
javaCUDA has maintained a continuous presence across global trending indexes, peaking at #12923. Below is the 30-day activity profile:
💡 Overview
javaCUDA is an open-source project written in Java: Java interface for Nvidia's CUDA driver.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Java. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Java for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/NewName/javaCUDA.git
cd javaCUDA⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
javaCUDA coordinates its core functionality through a modular Java 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 javaCUDA into Java 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 GPL-3.0 license.
🚀 Getting Started
Install javaCUDA using your package manager: `git clone https://github.com/NewName/javaCUDA.git`
Initialize your project workspace or configuration file for javaCUDA.
Import javaCUDA into your codebase or invoke it directly from your terminal.
Execute your test suite or run `javaCUDA --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NewName/javaCUDA is currently ranked #12,242 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #11,594 | wincent/bansshee | — | ★ 4 | Compare ↗ |
| #12,242 | NewName/javaCUDA This Project | Java | ★ 3 | |
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Frequently Asked Questions
What does javaCUDA do? +
Java interface for Nvidia's CUDA driver
What language is javaCUDA written in? +
The primary language is Java. Topics include: software.
Is javaCUDA actively maintained? +
Yes, the last recorded push was on May 7, 2009 with 0 open issues being tracked.
How many stars does javaCUDA have? +
javaCUDA has 3 stars and 2 forks on GitHub.
How does javaCUDA rank among GitHub repositories? +
With 3 stars, NewName/javaCUDA is ranked #12,242 globally across all repositories tracked on GitHubRepo and #701 among Java projects.
What license is javaCUDA distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
