AMD HIP SDK Now Out there: Making CUDA Functions Run Throughout Client, Professional GPUs & APUs

AMD’s HIP SDK is now obtainable as part of the ROCm ecosystem bringing CUDA help for skilled and client GPUs.

AMD’s HIP SDK In An Open-Supply ROCm Resolution To Make Porting CUDA Functions Simple Throughout Client & Skilled GPUs

Right this moment’s launch of the HIP SDK basically helps port a CUDA utility right into a simplified C++ code base that may be compiled to run on each AMD or NVIDIA GPUs simpler. Moreover, AMD expands the HIP SDK not solely to its skilled GPUs but in addition consumer-level {hardware} similar to Radeon.

Issues the HIP SDK can do

  • Convert an present CUDA utility to run on AMD GPUs
  • Accomplish that with out the necessity to contact AMD for help
  • Port GPU-accelerated graphics and simulation instruments to AMD {hardware}

An fascinating factor about HIP SDK is that it’ll work throughout all skilled, workstation, & gaming GPU households and can be supported by AMD’s APUs. The total listing of GPUs supported by the AMD HIP SDK consists of:

  • Radeon VII
  • Radeon RX Vega Collection
  • Radeon RX 5000 Collection
  • Radeon RX 6000 Collection
  • Radeon RX 7000 Collection
  • Radeon Professional WX 9100
  • Radeon Professional W6000 Collection

Additionally, you will require to run the most recent drivers that are Radeon Software program 21.12.1 or Radeon PRO Software program 21.This fall for Home windows and Radeon Software program 22.10 or ROCm 5.3 for Linux. Following is what AMD’s HIP SDK goals to supply:

Why do you want the HIP SDK?

We all know that builders of GPU-accelerated functions need to give their customers the liberty to decide on which {hardware} they use. However to take action used to imply sustaining two separate code bases: one for NVIDIA, utilizing its proprietary CUDA API, and one for different GPUs – not simple to do, notably in the event you’re a small workforce. That is the place HIP, and now the brand new HIP SDK, is available in.

HIP is a free and open-source runtime API and kernel language. With it, you possibly can convert an present CUDA utility right into a single C++ code base that may be compiled to run on AMD or NVIDIA GPUs, though you possibly can nonetheless write platform-specific options if you could. The HIP SDK supplies instruments to make that course of simpler.

How is HIP completely different from ROCm?

HIP is a part of AMD ROCm, our open-source platform for GPU computing. However whereas the AMD ROCm platform is concentrated on HPC and AI, notably server-based options, HIP is designed for desktop functions. You need to use it on Home windows in addition to Linux, and it would not include machine studying frameworks like PyTorch or TensorFlow: simply the core performance you want for GPU-intensive software program like renderers and simulation instruments.

What are you able to do with the HIP SDK?

Something that you are able to do with the HIP API, however with out having to contact AMD first? The HIP API is a robust toolset, however to make full use of it, you really want lively help from our engineers. The brand new SDK makes issues a lot easier. We’re nonetheless there to assist out, however the SDK incorporates the instruments you could convert a CUDA utility by yourself.

What sorts of software program is the HIP SDK supposed for?

Something that makes use of numeric compute, notably graphics and simulation instruments. Within the DCC (Digital Content material Creation) market, HIP is utilized in Blender – the 3D software program used within the visible results of sequence like Amazon Prime’s The Man within the Excessive Citadel – in its Cycles render engine. Maxon is utilizing HIP to port its Redshift renderer, used on films like The Matrix: Resurrections, to run on AMD GPUs. And within the AEC (Structure, Engineering, and Development) market, builders need to do the identical factor with computational fluid dynamics instruments.

However you do not have to be creating a big standalone utility. Plugin developer Boris FX is utilizing HIP to allow Sapphire, its Emmy Award-winning suite of VFX plugins, to run on AMD GPUs. Porting smaller instruments like that is precisely the form of challenge that the brand new SDK will help with.

How onerous is it to port a CUDA utility utilizing the HIP SDK?

Not as onerous as you would possibly suppose. Each CUDA and HIP are dialects of C++, so if you realize CUDA, the syntax must be acquainted to you, and the SDK consists of instruments to hurry up the method: its HIPIFY toolset mechanically interprets CUDA code into transportable HIP C++. Utilizing AMD’s Orochi library, you possibly can even compile a single binary that runs on each AMD and NVIDIA {hardware}.

That is undoubtedly huge information for builders of functions who need a code base that works throughout a number of GPUs fairly than having to construct separate ones for every vendor. The AMD HIP SDK might be downloaded right here.

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