原文地址:Accelerated Ray Tracing in One Weekend in CUDA 基于RayTracingInOneWeekend 原文作者的CUDA code: raytracinginoneweekendincuda CUDA教程:zhuanlan.zhihu.com/p/17 本文假设您有一定的CUDA基础 First Image Ray Tracing in One Weekend的第一章生成了一张红绿通道渐变色彩的图片。在串行语言中,你用for循...
Recent announcements of NVIDIA’s new Turing GPUs, RTX technology, and Microsoft’s DirectX Ray Tracing have spurred a renewed interest in ray tracing.
对光线追踪感兴趣,并且看过《Ray Tracing in One Weekend》这本书 拥有一块NVIDIA系列支持CUDA的GPU,并且安装了nvcc编译器 本文将综合《Ray Tracing in One Weekend》和《GPU高性能编程CUDA实战》两本书的内容,带你进入CUDA光追的神奇世界。 第零步:安装cuda_by_example工具 《GPU高性能编程CUDA实战》中有一章是...
The code for the ebook Ray Tracing in One Weekend by Peter Shirley translated to CUDA by Roger Allen. This work is in the public domain. - raytracinginoneweekendincuda/main.cu at ch01_output_cuda · rogerallen/raytracinginoneweekendincuda
Ray Tracing in One Weekend in CUDA This is yet another Ray Tracing in One Weekend clone, but this time using CUDA instead of C++. CUDA can be used to speed up the code. For example, on my machine, the C++ code renders the test image in 90 seconds. The CUDA accelerated code renders...
Finite Difference Methods in CUDA C++, Part 1 Finite Difference Methods in CUDA C++, Part 2 Accelerated Ray Tracing in One Weekend with CUDA There is also a series ofCUDA Fortran postsmirroring the above, starting withAn Easy Introduction to CUDA Fortran. ...
In the original Raytracing in One Weekend code exists a pure virtual material class and 3 derived material classes of different sizes. We will combine them into 1 non-virtual class to have uniform size to make the array of material easy to allocate on CUDA side. Another reason is because ...
A quick and easy introduction to CUDA programming for GPUs. This post dives into CUDA C++ with a simple, step-by-step parallel programming example.
Java是一个通用编程语言。由于它拥有功能强大的库、运行时、简单的语法、平台无关（Write Once, Run ...
I think I might not have enough insight into your problem cause the “solution” sounds quite obvious to me and I dont know anything about ray tracing. Why dont you write a kernel for initializing and keep everything you need in device memory?