Topic

#Cuda

8 articles on Cuda — news, releases, guides and analysis from the SourceFeed engine.

Rust Treats the GPU as One Big SIMD Register

Vectorware compiles std::simd straight onto NVIDIA warps, so one kernel now runs on CPU and GPU.

Drop-in translators, HIP, and SYCL solve different problems. Choose by binaries versus long-term portability.

Transitioning from cloud APIs to local GPU hardware requires mastering unified memory architectures and physical thermal constraints.

The translation layer can run unmodified CUDA binaries on AMD and Intel GPUs, but its new direction changes the enterprise calculus.

Pipelined decoding techniques show that software optimization, not just raw hardware scaling, is the key to maximizing GPU utilization.

From triple-angle brackets to SASS assembly and doorbell registers, here is how NVIDIA orchestrates GPU execution.

NVIDIA now powers 81 percent of the world's fastest supercomputers, forcing a fundamental rewrite of high-performance software.

A new tile-based DSL from NVIDIA Labs extends Rust's strict ownership model directly to high-performance GPU programming.