GPUDirect Storage: A Direct Path Between Storage and GPU Memory | NVIDIA Technical Blog
NVIDIA RTX IO Detailed: GPU-assisted Storage Stack Here to Stay Until CPU Core-counts Rise | TechPowerUp
GPU Benchmarks
Adjusting for GPU Memory Bandwidth Tradeoffs | Apple Developer Documentation
DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression - Microsoft Research
H100 Tensor Core GPU | NVIDIA
Optimizing the Deep Learning Recommendation Model on NVIDIA GPUs | NVIDIA Technical Blog
A Massively Parallel Processor: the GPU — mcs572 0.6.2 documentation
Accelerating and Maximizing the Performance of Telco Workloads Using Virtualized GPUs in VMware vSphere - VROOM! Performance Blog
GPUDirect Storage: A Direct Path Between Storage and GPU Memory | NVIDIA Technical Blog
Test results and performance analysis | PowerScale Deep Learning Infrastructure with NVIDIA DGX A100 Systems for Autonomous Driving | Dell Technologies Info Hub
NVIDIA A100 | AI and High Performance Computing - Leadtek
The transformational role of GPU computing and deep learning in drug discovery | Nature Machine Intelligence
GPU Memory Bandwidth vs. Thread Blocks (CUDA) / Workgroups (OpenCL) | Karl Rupp
Nvidia Geforce and AMD Radeon Graphic Cards Memory Analysis
Development of memory bandwidth for the CPU and GPU (Nvidia, 2011a). | Download Scientific Diagram
Maximizing GPU Efficiency in Extreme Throughput Applications
1 Comparison of peak throughput of CPUs and GPUs. | Download Scientific Diagram
GPU Acceleration -- Remcom's XStream — Remcom
Sony PS4 Effective GPU Bandwidth is 140 GB/s Not 176 GB/s - Disproportionate CPU and GPU Scaling
Does GPU bandwidth matter?
GPU memory bandwidth (Ref. 13). | Download Scientific Diagram
GPUs greatly outperform CPUs in both arithmetic throughput and memory... | Download Scientific Diagram
