Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#340
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
pti-gpu gained 10 stars in the last 30 days, about 1 a day, and now has 273. It is about 6 years old and has averaged roughly 46 stars a year. It ranks #340 among C++ repositories and #4,622 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#2606
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
pti-gpu has maintained a continuous presence across global trending indexes, peaking at #2606. Below is the 30-day activity profile:
💡 Overview
pti-gpu is an open-source project written in C++: Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily.
Engineered for speed, consistency, and developer ease, it solves common hurdles in code-samples, kits-toolkits, performance-analyzers. 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 C++ 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/intel/pti-gpu.git
cd pti-gpu⚙ 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
pti-gpu 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
Command-Line Automation
Execute automated build, deployment, and maintenance tasks directly from the terminal.
CI/CD Workflow Integration
Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.
Developer Environment Setup
Standardize local engineering workstations with single-binary utility commands.
Scripting & Pipeline Orchestration
Chain complex multi-stage scripts with reliable error reporting and exits.
🚀 Getting Started
Install pti-gpu using your package manager: `git clone https://github.com/intel/pti-gpu.git`
Initialize your project workspace or configuration file for pti-gpu.
Import pti-gpu into your codebase or invoke it directly from your terminal.
Execute your test suite or run `pti-gpu --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
intel/pti-gpu is currently ranked #4,622 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,617 | ColinEberhardt/wasm-rust-chip8 | Rust | ★ 274 | Compare ↗ |
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| #4,617 | Recurse-Labs/recurse | Rust | ★ 274 | Compare ↗ |
| #4,617 | jkudish/jev-browser | JavaScript | ★ 274 | Compare ↗ |
| #4,622 | intel/pti-gpu This Project | C++ | ★ 273 | |
| #4,622 | JackDanger/permanent_records | Ruby | ★ 273 | Compare ↗ |
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Frequently Asked Questions
What does pti-gpu do? +
Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily
What language is pti-gpu written in? +
The primary language is C++. Topics include: code-samples, kits-toolkits, performance-analyzers, swrepo, system-tools.
Is pti-gpu actively maintained? +
Yes, the last recorded push was on Sep 24, 2026 with 32 open issues being tracked.
How many stars does pti-gpu have? +
pti-gpu has 273 stars and 71 forks on GitHub.
How does pti-gpu rank among GitHub repositories? +
With 273 stars, intel/pti-gpu is ranked #4,622 globally across all repositories tracked on GitHubRepo and #340 among C++ projects.
What license is pti-gpu distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
