However, its GPU programming ecosystem is quite young and may be inferior to the classical C/C++ ecosystem in both performance and programmer friendliness, as well as in the range of features provided. Nevertheless, the Rust language model theoretically allows extensive optimization capabilities ...
Historically in games GPU programming has been done through writing either HLSL, or to a lesser extent GLSL and WGSL. These are simple programming languages that have evolved along with rendering APIs over the years. However, these languages have failed to provide mechanisms for dealing with large...
Asahi Lina(Linux 开发人员 VTuber)希望用 Rust 编写 Apple AGX GPU 驱动程序,并写道:我正在为 Apple AGX(在 M1 和 M2 系列芯片中找到)开发新的内核 GPU 驱动程序。这些 GPU 运行驱动程序并具有相当复杂的共享内存数据结构,需要由主机管理,因此我一直倾向于 Rust,因为它的安全性、更好的元编程和通用表达能力。
However, Rust also has a reputation for being “hard”. It has asteep learning curveespecially for beginners. To make Rust more approachable, we’ve introducedRustCoder—an AI-powered Rust programming assistant built on theQwen-2.5 Codermodel. Whether you’re just getting started or tackling com...
《The Rust Programming Language》 欢迎!本书将教你有关 Rust 编程语言的知识。Rust 是一种系统编程语言,专注于三个目标:安全性、速度和并发性。它在没有垃圾收集器的情况下实现了这些目标,使其成为其他语言不擅长的许多用例的有用语言:嵌入其他语言、具有特定空间和时间要求的程序以及编写低级代码,例如设备驱动程序...
rust-gpu Making Rust a first-class language & ecosystem for GPU code spdx Helper crate for SPDX expressions spirv-tools-rs An unofficial wrapper for SPIR-V Tools superluminal-perf Superluminal Performance profiler integration tame-gcs Google Cloud Storage functions that follows the sans-io approach...
1,深度学习:使用candle或tch-rs实现深度学习模型,利用GPU加速进行训练和推理。 2,自然语言处理:使用Rust NLP库进行文本预处理,使用hf-hub集成来自hug Face的预训练模型。 3,多线程和并发:使用Rust的并发原语优化你的AI模型,使其在多线程上运行。 4,部署AI模型:使用Rust健壮的web框架(如Actix或Rocket)在生产环境中...
Rust is a systems programming language created by Mozilla. It is similar to C++, but is designed for improved memory safety without sacrificing performance. Here are 67,759 public repositories matching this topic... Language: All Sort: Most stars rust-lang / rust Star 103k Code Issues ...
这篇论文就是比较研究 Rust 和 C 语言在 性能和 编程效能(Programming effort)两方面,看能否确定 Rust 是一种保持一定性能水平的同时拥有更少工作量(更高的编程效能和生产力)的语言。如果是这样,那么 Rust 则是 HPC 领域的绝佳替代品。 之前Rust 社区也探讨过如何确定 Rust 生产力的问题,那么这篇文章就是一个...
1,深度学习:使用candle或tch-rs实现深度学习模型,利用GPU加速进行训练和推理。 2,自然语言处理:使用Rust NLP库进行文本预处理,使用hf-hub集成来自hug Face的预训练模型。 3,多线程和并发:使用Rust的并发原语优化你的AI模型,使其在多线程上运行。 4,部署AI模型:使用Rust健壮的web框架(如Actix或Rocket)在生产环境中...