Hooked CUDA-related dynamic libraries by using automated code generation tools. Based on this, you can easily obtain the CUDA API called by the CUDA program, and you can also hijack the CUDA API to ...

A comprehensive collection of CUDA programming examples for teaching parallel computing concepts using NVIDIA GPUs. This repository is designed for students learning CUDA programming in Windows ...

Gear up for spring with our favorite how-to's and to-do's for Python developers—starting with the new, built-in async/await ...

仅列举几条直观形象的，但并不代表全部哈 这里只谈deterministic optimization，不包括stochastic optimization 1. 萌芽期 请先把cmake编译选项设置合适哈。在Debug模式下跑着-O0级优化的代码，这时慢可是自己的锅 set(CMAKE_BUILD_TYPE Release) ...

从直觉来看，DeepSeek的确大幅提升了AI技术的效率，降低了AI模型训练与部署的成本——市场对此的第一反应是AI应用层面的效率突破，令底层算力供给不再那么重要，此前GPU、AI芯片将在全球范围内飙升的预言似乎就不再成立了。加上中美贸易摩擦的持续， ...

PyTorch runs on Windows, macOS, and Linux, supporting both CPUs and GPUs with Nvidia CUDA, AMD ROCm ... making it ideal for rapid prototyping and debugging. Researchers appreciate its Pythonic ...

debug, and improve what they build.” With more companies focusing on solving issues related to AI, such as the interesting concept of using AI to fix AI, the experience for businesses, clients, and ...

Unlike frameworks that use static computation graphs, PyTorch uses a dynamic computation graph, allowing for real-time model changes, easier debugging, and faster prototyping, making PyTorch ...

Bengaluru-based startup RevRag.AI has launched Sophie, an AI onboarding agent designed to enhance customer engagement and minimise sales funnel drop-offs. The agent caters specifically to the fintech, ...