Introducing HIP RT – a ray tracing library in HIP
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 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.
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.
HIP RT is a ray tracing library for HIP, making it easy to write ray tracing applications in HIP.
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.
Orochi is a library that loads HIP and CUDA driver APIs dynamically at runtime, eliminating the overhead of maintaining separate backends.
HIPRT-v2 is now available for download! This post covers some of the most exciting features and optimizations.
HIP Ray Tracing v2.1 adds support for batch construction, global/dynamic stacks, transformation query functions, plus other new features.
Radeon GPU Profiler 1.14 is here, with support for Radeon™ RX 7000 series GPUs, profiling HIP applications, and much more. Take a look!
The latest release of the ProRender SDK introduces support for primitive variables, enhanced Cryptomatte AOVs, AMD’s HIP API, and much more.
Read about how the latest updates for our Radeon ProRender plug-ins introduce HIP, and how this can benefit artists.
This post introduces commonly-used memory spaces, identifies what makes each memory space unique, and discusses some common use-cases for each space.