#Cuda

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.

Article · 2w ago3

CUDA Without NVIDIA: What Actually Works

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

Article · 1mo ago0

Demystifying the NVIDIA DGX Spark for API Developers

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

Article · 1mo ago0

ZLUDA 6 Arrives: What a Return to Hobbyist Status Means for CUDA Translation

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

Release · 1mo ago5

Popping the CPU-GPU Latency Bubble in Inference

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

Article · 1mo ago2

Under the Hood of a CUDA Kernel Launch

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

Article · 2mos ago0

The Architecture of Monopoly: Inside NVIDIA's Supercomputing Hegemony

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

Article · 2mos ago0

NVIDIA's cuTile Brings Fearless Concurrency to GPU Kernels in Rust

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

Article · 2mos ago5