25 Years Later: A Brief Analysis of GPU Processing Efficiency
The first 3D graphics cards appeared 25 years ago and since then their power and complexity have grown at a scale greater than any other microchip found
The first 3D graphics cards appeared 25 years ago and since then their power and complexity have grown at a scale greater than any other microchip found in a PC. In going from one million to billions of transistors, smaller dies, and consuming more power, the capabilities of these behemoths is immeasurably greater, but what can we learn about efficiency?
Graphics processing unit - Wikipedia
25 Years Later: A Brief Analysis of GPU Processing Efficiency
25 Years Later: A Brief Analysis of GPU Processing Efficiency
Fueling High-Performance Computing with Full-Stack Innovation
NVIDIA Grace Hopper Superchip Architecture In-Depth
A Decade of Accelerated Computing Augurs Well For GPUs
AMD RDNA 3 GPU Architecture Deep Dive: The Ryzen Moment for GPUs
25 Years Later: A Brief Analysis of GPU Processing Efficiency
GPU vs CPU Performance Comparison: Can You Close the Gap?
Python, Performance, and GPUs. A status update for using GPU…, by Matthew Rocklin
Train 18-billion-parameter GPT models with a single GPU on your personal computer! Open source project Colossal-AI has added new features!, by HPC-AI Tech
Premiere Pro 14.2 H.264 and H.265 Hardware Encoding Performance