QiMeng: 金刚体育世界杯竞猜平台 | 热门足球赛事免费看 Fully Automated Hardware and Software Design for Processor Chip

An open-source project for automated, high-performance, and easily deployable IC full-stack design.

Overview 金刚体育全程直播竞猜

As the fundamental hardware substrate of 金刚体育为你提供全程赛事直播 computing systems, chips undertake critical functionalities including instruction execution, data processing, and system resource management. Chips are ubiquitously deployed across personal computers, servers, smartphones, and IoT devices, serving as the cornerstone of modern digital economies. Chip design technology represents not only a strategically vital industry for national economic development but also a cutting-edge domain in scientific research, playing a pivotal role in advancing computer science and related disciplines. The design process constitutes an exceptionally complex systems engineering challenge, requiring deep cross-layer co-design between hardware and software architectures while simultaneously satisfying multifaceted design constraints encompassing functionality, performance, power efficiency, and area (PPA). These intrinsic characteristics have established processor chip design as one of the most technically demanding research frontiers in both academic and industrial spheres. todo

Applications 金刚体育平台支持安卓/iOS/网页等多终端

Chip Design 金刚体育涵盖⚽中超、英超、欧冠等全球足球赛事

Chip Design consists of two parts: Automatic HDL Generation, which aims to train LLMs to generate HDL modules or fill the HDL code; and Automatic CPU Design, which fully automates the design of an entire CPU starting from I/Os.

kingkong体育官网实时比分+足球分析 Operating System

Operating system aims to automatically generate optimized operating system configurations.

金刚体育世界杯活动入口 High-performance Library

High-performance library aims to automatically optimize the performance of common operators (e.g., GEMM) and provides a complete automated optimization toolchain.

Compiler 金刚体育专业分析

Compiler consists of two parts: Compiler Generation, which aims to leverage LLMs to complete automated compiler-generation tasks; and Tensor Program Transcompiler, which aims to automatically perform cross-platform tensor-program conversion.