Neural Network API - Qualcomm Developer Network
A hybrid GPU-FPGA based design methodology for enhancing machine learning applications performance | SpringerLink
Machine Learning on QCS610 - Qualcomm Developer Network
Leveraging TensorFlow-TensorRT integration for Low latency Inference — The TensorFlow Blog
Automatic Device Selection — OpenVINO™ documentation — Version(latest)
Vector Processing on CPUs and GPUs Compared | by Erik Engheim | ITNEXT
Appendix C: The concept of GPU compiler — Tutorial: Creating an LLVM Backend for the Cpu0 Architecture
On a cpu device, how to load checkpoint saved on gpu device - PyTorch Forums
Parallelizing across multiple CPU/GPUs to speed up deep learning inference at the edge | AWS Machine Learning Blog
Is it possible to convert a GPU pre-trained model to CPU without cudnn? · Issue #153 · soumith/cudnn.torch · GitHub
Deploying PyTorch models for inference at scale using TorchServe | AWS Machine Learning Blog
Understand the mobile graphics processing unit - Embedded Computing Design
convert SAEHD on 2nd GPU · Issue #563 · iperov/DeepFaceLab · GitHub
Run multiple deep learning models on GPU with Amazon SageMaker multi-model endpoints | AWS Machine Learning Blog
Parallel Computing — Upgrade Your Data Science with GPU Computing | by Kevin C Lee | Towards Data Science
NVIDIA FFmpeg Transcoding Guide | NVIDIA Technical Blog
Faster than GPU: How to 10x your Object Detection Model and Deploy on CPU at 50+ FPS
AMD, Intel, Nvidia Support DirectStorage 1.1 to Reduce Game Load Times | PCMag
Optimizing I/O for GPU performance tuning of deep learning training in Amazon SageMaker | AWS Machine Learning Blog
Microsoft's DirectStorage 1.1 Promises to Reduce Game Load Times by 3X | PCMag
The description on load sharing among the CPU and GPU(s) components... | Download Scientific Diagram
Improving GPU Memory Oversubscription Performance | NVIDIA Technical Blog
