5 रिपॉजिटरी
Awesome GitHub RepositoriesBinary Memory Layouts
Memory management techniques that use raw binary formats to avoid object overhead and garbage collection.
Distinct from Memory Management: Focuses on the memory layout and binary representation rather than just the allocation strategy.
Explore 5 awesome GitHub repositories matching operating systems & systems programming · Binary Memory Layouts. Refine with filters or upvote what's useful.
Awesome Binary Memory Layouts GitHub Repositories
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- federico-busato/modern-cpp-programming
federico-busato/Modern-CPP-Programming
15,808GitHub पर देखेंThis project is a comprehensive educational resource and programming course covering C++ language semantics and features from C++03 through C++26. It provides structured tutorials and technical guides focused on modern C++ development. The material offers specialized instruction on template metaprogramming, including the use of type traits and compile-time computations. It features detailed guides on concurrency and parallelism for multi-core execution, as well as a reference for software design applying SOLID principles and RAII. Additionally, it covers build performance optimization to redu
Explains how to arrange objects in memory to maintain compatibility with binary APIs.
HTMLc-plus-pluscode-qualitycompilers - rust-lang/rust-bindgen
rust-lang/rust-bindgen
5,212GitHub पर देखेंRust-bindgen, क्रॉस-लैंग्वेज इंटरऑपरेबिलिटी को ऑटोमेट करने के लिए डिज़ाइन किया गया एक बिल्ड-टाइम फॉरेन फंक्शन इंटरफ़ेस (FFI) बाइंडिंग जनरेटर और C हेडर पार्सर है। यह कंपाइलेशन प्रक्रिया के दौरान प्लेटफ़ॉर्म-विशिष्ट घोषणाएं तैयार करके Rust को C, C++ और Objective-C लाइब्रेरीज़ के साथ जोड़ने के लिए एक टूल के रूप में काम करता है। यह प्रोजेक्ट C-फैमिली भाषा के जटिल निर्माणों, जैसे C++ इनहेरिटेंस और मेथड्स, साथ ही Objective-C क्लासेस और प्रोटोकॉल को संभालने की अपनी क्षमता के कारण अलग है। यह टारगेट-अवेयर मेमोरी लेआउट की गणना करके और यह सत्यापित करके कि जनरेट किए गए स्ट्रक्चर साइज़ और एलाइनमेंट मूल सोर्स डेफिनिशन से मेल खाते हैं, विभिन्न आर्किटेक्चर में बाइनरी कम्पैटिबिलिटी सुनिश्चित करता है। यह टूल बाइंडिंग्स को फ़िल्टर करने, जटिल टाइप्स को प्रतिस्थापित करने और फ़ील्ड विजिबिलिटी को नियंत्रित करने के लिए एक कॉन्फ़िगरेशन सिस्टम प्रदान करता है।
Calculates structure padding and alignment by querying the target platform's compiler to ensure binary compatibility.
Rustbindingscodegenffi - ejoy/ant
ejoy/ant
3,917GitHub पर देखेंAnt is a modular game engine framework designed for building interactive 3D experiences. It provides a core runtime infrastructure that supports the integration of independent, reusable functional packages to extend engine capabilities. The engine features a specialized ahead-of-time asset pipeline that transforms raw 3D models, textures, and shaders into optimized binary formats. By utilizing pre-computed memory-mapped layouts, the system minimizes runtime processing overhead and improves loading speeds for game assets. Development is supported by a scriptable world editor that allows for s
Stores processed assets in pre-computed memory-mapped formats to ensure high-speed loading and efficient data access.
Lua - thi-ng/umbrella
thi-ng/umbrella
3,818GitHub पर देखेंUmbrella is a comprehensive ecosystem of TypeScript-based libraries and a mono-repository designed for UI rendering, mathematical frameworks, WebAssembly bridging, and functional data processing. It provides a suite of tools for managing reactive data streams, binary serialization, and specialized memory management. The project includes a reactive component model for generating HTML, SVG, and Canvas elements from nested data structures, as well as a system for integrating JavaScript and WebAssembly through generated bindings. It features a mathematical framework for linear algebra, tensor ope
Manages raw memory buffers using fixed offsets and typed views to optimize high-performance data exchange.
TypeScriptcolordata-structuresdsl - databricks/spark-the-definitive-guide
databricks/Spark-The-Definitive-Guide
3,099GitHub पर देखेंThis project is an educational resource and technical manual for Apache Spark, focused on the architecture and practical application of large-scale data processing. It serves as a guide for big data engineering and distributed computing, covering the principles of parallel processing and fault-tolerant data distribution. The material provides instructional content on designing distributed ETL pipelines and implementing data analysis workflows. It includes tutorials for polyglot data processing, offering patterns and examples for using Python, Scala, and Java within a unified environment. The
Details the Tungsten engine's use of off-heap binary memory to optimize data processing performance.
Scala
