Explore Render Network's transformative year in 2025, marked by groundbreaking initiatives in decentralized GPU computing, AI integration, and global creative collaborations. 2025 was a pivotal year ...

A GPU-accelerated N-body gravitational simulation demonstrating 13,000× speedup over CPU baseline through CUDA parallel computing. This project showcases GPU programming techniques using Python with ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

Reddio proudly announces the launch of its Mainnet Alpha, bringing the world’s first GPU-Accelerated Parallel EVM architecture to live production. Purpose-built for compute-intensive and AI-native ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

At the GTC 2025 conference, Nvidia announced its plans for a new, Boston-based Nvidia Accelerated Quantum Research Center or NVAQC, designed to integrate quantum hardware with AI supercomputers.

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units (GPUs) ...

了解掌握多核并行程序设计，理解CPU多核并发编程模式，进程与线程的概念，线程间通信（同步与互斥），包括：互斥函数、临界区（临界段），生产者与消费者同步等算法 ### 实验二 掌握*CUDA C / CUDA C++*，基于多核**CPU**和**GPU**的**异构CUDA编程**模型，CUDA的编程 ...

Until the late 1990s, the concept of a 3D accelerator card was something generally associated with high-end workstations. Video games and kin would run happily on the CPU in one’s desktop system, with ...

There is no doubt that artificial intelligence (AI) is transforming industries in many ways, but training complex AI models demands immense computational power. This is where GPU clusters come into ...