Application portability with HIP – AMD lab notes
This blog discusses various ROCm tools developers can leverage to port existing applications from CUDA to HIP.
This blog discusses various ROCm tools developers can leverage to port existing applications from CUDA to HIP.
Orochi 2.0 has almost exhaustive CUDA/HIP functions, new demos, and multiple other improvements.
The source code for the core of our easy-to-integrate ray tracing library for HIP is now available on GitHub.
With the release of v2.2, HIP RT now support multi-level instancing. Multi-level instancing can help to reduce memory requirements, allowing you to render large scenes with limited memory.
This blog post shows how it is possible to use HIP RT to accelerate neighbor search in Smoothed Particle Hydrodynamics (SPH) simulations.
HIP Ray Tracing v2.1 adds support for batch construction, global/dynamic stacks, transformation query functions, plus other new features.
Our ray tracing library for HIP now features batch BVH construction, dynamic traversal stack assignment, transformation query functions + more.
In this blog, we explore GPU offloading using HIP and OpenMP target directives and discuss their relative merits in terms of implementation efforts and performance.
Read about how the latest updates for our Radeon ProRender plug-ins introduce HIP, and how this can benefit artists.
HIPRT-v2 is now available for download! This post covers some of the most exciting features and optimizations.
HIP RT is a new ray tracing library for HIP. It makes it easy to write a ray tracing app using HIP. Check out this page for more information.
HIP RT is a ray tracing library for HIP, making it easy to write ray tracing applications in HIP.