These CUDA kernels are 10-100 times faster than typical PyTorch versions Sakana AI is also releasing a dataset with over 30,000 CUDA kernels The company recently released The AI Scientist ...

Sakana AI’s new system uses LLMs and evolutionary optimisation techniques to automate this process, making high-performance CUDA kernel development more accessible. “The coolest autonomous coding ...

Working at the intersection of Apple's newest hardware and Linux kernel development, for the benefit of a free distribution, was never going to be easy. But it's been an especially hard couple of ...

Each cell in a grid follows simple birth and survival rules. Uses neighbor counting to determine the next state of each cell.

英伟达显卡的CUDA内核的英文为“Compute Unified Device Architecture”，简而言之，它是由英伟达开发的一种并行计算平台和编程模型，允许开发者利用NVIDIA ...

This repository contains Starlark implementation of CUDA rules in Bazel. These rules provide some macros and rules that make it easier to build CUDA with Bazel ...

EventData BugcheckCode 159 BugcheckParameter1 0x3 BugcheckParameter2 0xfffffa80029c5060 BugcheckParameter3 0xfffff8000403d518 BugcheckParameter4 0xfffffa800208c010 SleepInProgress false ...