thrust/thrustArchived
Thrust
Thrust 是一个异构计算库和 C++ 模板库，提供了一系列用于执行数据并行操作的高级模板。它作为一个并行算法库，旨在跨不同的硬件后端工作，包括多核 CPU 和 NVIDIA GPU 硬件。
该框架利用仅头文件（header-only）的实现和通用编程策略接口，抽象了 CPU 和 GPU 内存与执行模型之间的差异。它采用基于迭代器的数据抽象，为访问主机 RAM 和设备 VRAM 中的元素提供了统一的接口。
该库涵盖了并行处理能力，包括并行数据排序和用于计算跨大数据集值的聚合归约处理。这些操作通过 CUDA 并行编程库进行管理，以实现 GPU 硬件上的高性能计算。
Features
- Parallel Algorithms - Provides a comprehensive collection of high-level parallel algorithms for data-parallel operations.
- Device Backends - Provides a specialized CUDA-based backend to offload data-parallel computations to NVIDIA GPUs.
- C++ Parallel Programming - Enables high-performance C++ programming for data-parallel operations across heterogeneous hardware.
- C++ Parallelism Libraries - Functions as a specialized C++ parallelism library offering high-level templates for data-parallel operations.
- Generic Programming - Utilizes generic programming with template parameters to decouple execution strategies from algorithm implementations.
- Iterator-Based Abstractions - Employs iterator-based abstractions to provide a uniform interface for accessing host and device memory.
- Template Libraries - Implemented as a C++ template library to ensure generic behavior across different hardware backends.
- Heterogeneous Computing Libraries - Acts as a heterogeneous computing library that abstracts the differences between CPU and GPU execution models.
- GPU-Accelerated Processing - Facilitates GPU-accelerated processing by moving large datasets to parallel hardware for fast computation.
- Parallel Sorting - Implements high-performance parallel data sorting by leveraging GPU and multicore CPU hardware.
- Header-Only Libraries - Ships as a header-only template library to enable aggressive compiler inlining and optimization.
- Parallel Reductions - Provides parallel reduction operations to calculate sums, minimums, or maximums across distributed cores.
- Compile-Time Type Dispatch - Uses C++ templates for compile-time type dispatch to eliminate runtime overhead in performance-critical paths.
- CUDA Libraries - Provides a robust set of CUDA-based algorithms and data structures for high-performance GPU computing.
- Aggregate Reductions - Provides parallel aggregate reduction processing for calculating values across large datasets.
- Asynchronous Execution - Implements non-blocking execution models to overlap data transfers with kernel execution.
- 并行处理 - 用于异构系统的 C++ 并行编程库。
- GPU Acceleration - Parallel programming library for GPU acceleration.
- Parallel and High-Performance Computing - C++ parallel programming library for heterogeneous systems.
