CodeXL 2.6 is released!
A new version of the CodeXL open-source developer tool is now available! What’s New? For current users of CodeXL, this new release may look and …
A new version of the CodeXL open-source developer tool is now available! What’s New? For current users of CodeXL, this new release may look and …
We are excited to announce the release of ROCm enabled TensorFlow v1.8 for AMD GPUs. This post demonstrates the steps to install and use …
We have posted the version 1.2 update to the TrueAudio Next open-source library to Github. It is available here. This update has a number of …
Why Vulkan? With advantages like reduced driver overhead and more control over GPUs, Vulkan has become the 3D graphics and compute API of choice for …
Insights from Enscape as to how they designed a renderer that produces path traced real time global illumination and can also converge to offline rendered image quality
Understanding the instruction-level capabilities of any processor is a worthwhile endeavour for any developer writing code for it, even if the instructions that get executed …
I wanted to share an update on “what’s new” with HIP and HCC in ROCm 1.6: HIP has a new home We’re still on GitHub, …
Overview Announcing our new Foundation for Deep Learning acceleration MIOpen 1.0 which introduces support for Convolution Neural Network acceleration — built to run on top …
Overview ROCm 1.6 introduces big updates to our OpenCL compiler and runtime implementation — built on top of the ROCm software stack! This developer release includes …
A revolution in machine learning In 2012, a research group from the University of Toronto led by Geoffrey Hinton created an earth-shattering advancement to the …
The Challenge CAFFE is a popular machine learning framework created by the Berkeley Vision and Learning Center. The code base contains more than 55,000 lines of …
A new version of the CodeXL open-source developer tool is out! Here are the major new features in this release: CPU Profiling Support for AMD …
This article explains how to use Radeon GPU Analyzer (RGA) to produce a live VGPR analysis report for your shaders and kernels. Basic RGA usage …
Introduction Sub DWord Addressing is a feature of the AMD GCN architecture which allows the efficient extraction of 8-bit and 16-bit values from a 32-bit register. …
In 2016, AMD brought TrueAudio Next to GameSoundCon. GameSoundCon was held Sept 27-28 at the Millennium Biltmore Hotel in Los Angeles. GameSoundCon caters to game …
HBM The AMD Radeon™ R9 Fury Series graphics cards (Fury X, R9 Fury and the R9 Nano graphics cards) are the world’s first GPU family …
With ROCm 1.2 we are moving beyond the Fiji Islands of GPU’s to bring a broader selection of hardware with the inclusion of the Hawaii …
We’ve been super-busy – so busy that it has been a while since I’ve been able to post. I wanted to pause long enough to …
Cross-lane operations are an efficient way to share data between wavefront lanes. This article covers in detail the cross-lane features that GCN3 offers. I’d like …
A new release of the CodeXL open-source developer tool is out! Here’s the hot new stuff in this release: New platforms support Support Linux systems …
Many fast Fourier transform (FFT) algorithms implement an intermediate transpose stage. Traditionally, the transpositions have used an out-of-place approach in the clFFT library – that …
The ability to write code in assembly is essential to achieving the best performance for a GPU program. In a previous blog we described how …
We previously looked at how to launch an OpenCL™ kernel using the HSA runtime. That example showed the basics of using the HSA Runtime. Here we’ll …
The team just released an update to HIP in version 0.86 which includes several improvements in the functionality and tools. Also we have included several additional …
Introduction In a previous blog we discussed the different languages available on the ROCm platform. Here we’ll show you how to combine several of these …
A new CodeXL release is out! For the first time the AMD Developer Tools group worked on this release on the CodeXL GitHub public repository, …
Achieving high performance from your Graphics or GPU Compute applications can sometimes be a difficult task. There are many things that a shader or kernel …
A Complete Tool to Transform Your Desktop Appearance After introducing our Display Output Post Processing (DOPP) technology, we are introducing a new tool to change …
ROCm-gdb v1.0 includes new features to assist application developers with understanding their application’s behavior. To get started with ROCm-gdb follow the installation directions and introductory …
One of the exciting new features that is available in clFFT 2.10 is the ability to compute very large FFTs. By very large, I mean …
The open-source ROCm stack offers several programming-language choices. Overall, the goal is to give you a range of tools to help solve the problem at …
Are You Ready to ROCK! The ROCm Platform delivers on the vision of the Boltzmann Initiative, bringing new opportunities in GPU Computing Research. On November …
CodeXL major release 2.0 is out! It is chock-full of new features and a drastic change in the CodeXL development model: CodeXL is now open …
With the announcement of the Boltzmann Initiative and the recent releases of ROCK and ROCR, AMD has ushered in a new era of Heterogeneous Computing. …
It’s been just under two months since we publicly launched the HIP repository, and I wanted to share a quick update on the work we’ve …
It was a critical question we asked ourselves early in the project, but we also asked if we can bring together a solution where you …
The ROCm Platform Deliver on the Vison of the Boltzmann Initiative, Bringing a New Opportunities in GPU Computing Research On November 16th, 2015, the Radeon Technology …
The Open Path to Bring Forward Your Ideas to High-Performance GPU Computing Welcome to the new Portal I want to welcome you to the new …
Announcing HSAIL GDB Version 1.0 … Today as part of AMD’s GPUOpen initiative, we are happy to announce the release of HSAIL GDB version 1.0 …
“AMD is releasing open source code for CodeXL Analyzer CLI. This is a performance analysis tool for OpenCL™ kernels, DirectX® shaders and OpenGL shaders. Using …
This tutorial shows how to get started with HIP. We’ll take a simple CUDA application, hipify it, and run it on multiple platforms. Editor’s note: …
In November, AMD launched the Boltzmann Initiative at Supercomputing 2015 with the goal of enabling developers to more easily employ the full compute potential of …
Intro The “P” in HIP literally stands for portability – HIP’s full and formal name is the “Heterogeneous-computing Interface for Portability”. However, even in a …
The ROCm Platform delivers on the vision of the Boltzmann Initiative, bringing new opportunities in GPU Computing Research.
On November 16th, 2015, the Radeon Technology Group rolled out Boltzmann Initiative with three core foundation elements:
Using our knowledge of the HSA Standards and, more importantly, the HSA 1.0 Runtime we have been able to successfully extended support to the dGPU with critical features for NUMA class acceleration. As a result, the ROCK driver is composed of several components based on our efforts to develop the Heterogeneous System Architecture for APUs, including the new AMDGPU driver, the Kernel Fusion Driver (KFD), the HSA+ Runtime and an LLVM based compilation stack for the building of key language support. This support starts with AMD’s FIJI Family of dGPU, but continues to expand to an ever increasing array of AMD ASICS.
At this point hardware requirements for Boltzmann capable platforms are very distinct, requiring specific PCI-E functionality and CPU capabilities. See the ROCm install web page for specific information regarding hardware, software and installation requirements for the ROCm software platform.
Any information on timeline for future support for other AMD cards (Hawaii series)?
This is in response to your query regarding ROCm support for other discreet GPUs. The Hawaii series is not expected to be supported. However, support will be extended to discreet GPUs using the GCN architecture that are developed by AMD in the future.
What will be in the future? The coming dGPUs, or the support for previous GCN HW? We have a cluster of various GCN HW (HD7970 in the majority of the machines, some R9 270X cards). Will these receive the necessary drivers? Is there an Ubuntu 16.04 compatible repo?
If we have Crimson drivers installed, is it necessary to remove Crimson before going through this installation guide?
Yes you need to remove the Crimson Drivers, this use it own driver foundation
Can I use this with R9 M265X? I’m not sure my card is which class.
Can we expect support for 300 series cards anytime soon?