CUDA programming: a developer's guide to parallel computing with GPUs. by Shane Cook. Over the past five years there has been a revolution in computing brought about by a company that for successive years has emerged as one of the premier gaming har
iMX8QP数据手册,给大家分享一下,多核异构,算力超群!Introduction
Table 1.i. MX 8Quad Plus advanced features (continued)
Function
Feature
Display controller
Supports single UltraHD 4kp60 display or up to 4 independent FulIHD 1080p60
displays
Up to 18-layer composition
Compl
cuda9.0里面的cublas文档,对于cuda开发从业人士非常必要基础的一本小册子,不可错过Chapter 1
INTRODUCTION
The cuBlaS library is an implementation of BLAS(Basic Linear Algebra Subprograms
on top of the NvIDIACUDA runtime It allows the user to access the computational
resources of NVIDI
Algorithms for hyper-parameter optimization.pdf,讲述贝叶斯算法的TPE过程的专业论文The contribution of this work is two novel strategies for approximating f by modeling H: a hier
archical Gaussian Process and a tree-structured parzen estimator. These are described in
This book is about Action Recognition The codes are implemented step by step with Pythonin Jupyter Notebook and they can be run on both CPUs
and GPUs . The dataset is the UCF101 that was developed by Soomro et al. from the University of Central
Flor
GPU,GPU工作原理;Introduction to GPU Architecture Based on
“From Shader Code to a Teraflop: How GPU Shader Cores Work”,
By Kayvon Fatahalian, Stanford University