electronicarts/EASTL
EASTL
EASTL is a C++ Standard Template Library implementation consisting of containers, iterators, and algorithms. It provides cross-platform data structures and a template-based algorithm library designed for use in resource-constrained game engine environments.
The library focuses on game engine memory management, providing specialized utilities that ensure predictable memory allocation and high-performance access for real-time applications. These containers maintain consistent behavior across different operating systems and hardware platforms.
The project covers high-performance C++ development through custom memory management and the implementation of a template library. It enables the organization, storage, and navigation of data collections and the execution of optimized data algorithms.
Features
- Standard Library Implementations - Implements a high-performance C++ Standard Template Library specifically for resource-constrained game engine environments.
- High-Performance Containers - Provides high-performance containers for organizing and accessing data collections consistently across platforms.
- Game Engine Utilities - Provides critical memory and data management utilities tailored for resource-constrained game engine environments.
- Custom Memory Allocators - Provides a custom allocator interface to decouple memory allocation from container logic.
- Managed Memory Allocators - Provides specialized managed memory allocators to ensure predictable memory consumption for real-time game applications.
- Predictable Memory Allocation - Implements custom memory management to ensure predictable allocation and avoid performance drops in real-time applications.
- High-Performance C++ Libraries - Provides a high-performance suite of data structures and algorithms to minimize resource overhead.
- Generics & Templates - Extensively uses C++ templates to generate type-specific code for maximum execution speed and type safety.
- Data Structures - Provides efficient data structures for storing and managing collections of data across multiple platforms.
- Algorithm Libraries - Ships a set of optimized, template-based algorithm libraries for performing complex data transformations.
- Cross-Platform Data Structures - Provides efficient, memory-managed C++ containers that behave consistently across diverse hardware and operating systems.
- Collection Iterators - Provides standardized collection iterators to navigate data structures regardless of their memory layout.
- Data Iterators - Provides standardized iterators for traversing diverse data collections without exposing underlying memory layouts.
- Policy-Based Design - Uses policy-based design to configure container behavior and memory growth strategies at compile time.
- Contiguous Memory Buffers - Implements data structures that store elements in contiguous memory blocks to optimize CPU cache locality.
- Algorithmic Performance Optimizations - Implements optimized routines for performing complex computations and transformations on data collections.
- Zero-Overhead Abstractions - Implements high-level data structures that compile down to efficient machine code without runtime overhead.
- Core Frameworks - Standard template library optimized for performance.
- Networking and Utilities - Performance-oriented STL replacement.
- Standard Libraries - High-performance implementation of the standard template library.
