AMD Instinct MI200 Adopts OAM and a 4.9x Speedup Over NVIDIA A100
Python, Performance, and GPUs. A status update for using GPU… | by Matthew Rocklin | Towards Data Science
Gromacs performance on different GPU types
OctoML and AMD partner to speed-up ML deployments from cloud to edge | OctoML
Accelerating the Wide & Deep Model Workflow from 25 Hours to 10 Minutes Using NVIDIA GPUs | NVIDIA Technical Blog
Are GPUs Non-Green Computing Devices?
Nvidia unveils new technology to speed up AI, launches new supercomputer | Reuters
Tutel: An efficient mixture-of-experts implementation for large DNN model training - Microsoft Research
GPU Acceleration
AI, Acceleration Pave Fast Routes for Chip Designers | NVIDIA Blog
Deep Learning GPU Benchmarks - V100 vs 2080 Ti vs 1080 Ti vs Titan V
GPU-Accelerated Workstation for CST Studio Suite | Microway
How to Tune GPU Performance Using Radeon Software | AMD
Parallel acceleration of CPU and GPU range queries over large data sets | Journal of Cloud Computing | Full Text
The Computational Fluid Dynamics Revolution Driven by GPU Acceleration | NVIDIA Technical Blog
Can You Close the Performance Gap Between GPU and CPU for Deep Learning Models? - Deci
TensorFlow performance test: CPU VS GPU | by Andriy Lazorenko | Medium
Meta unveils it's AITemplate GPU framework - SemiAccurate
Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities
NVIDIA Ampere A100 Is The Fastest AI GPU, 4.2x Faster Than Volta V100
Parallel acceleration of CPU and GPU range queries over large data sets | Journal of Cloud Computing | Full Text
The speedup was obtained by comparison two GPU's: GPU AMD Radeon R9... | Download Scientific Diagram
AMD ROCm 4.0 Speedup - ServeTheHome
