Feeds

Hey coders – get a sense of hUMA: AMD to free GPU from CPU slavery

Peer-to-peer architecture for server, desktop and mobile processors

5 things you didn’t know about cloud backup

AMD is to manufacture microprocessors that connect their on-board CPU and GPU components more intelligently than ever before.

The upcoming chips will utilise a technique AMD calls Heterogeneous Queuing (hQ). This new approach puts the GPU on an equal footing with the CPU: no longer will the graphics engine have to wait for the central processor to tell it what to do.

Currently, the CPU alone manages application tasks, pulling in work from job dispatch queues in user memory. It can even assign tasks to itself, one core scheduling work on another core, for instance.

The GPU doesn’t have these capabilities. Typically it is managed as a peripheral resource by way of the operating system and driver software, a pathway that adds considerable latency to GPU access.

The reasons for this are largely historical: the GPU was originally a separate chip mounted on an add-in board plugged into the main system bus. This model hasn’t changed – even though the GPU is now integrated into the CPU package and may even be part of the same die.

AMD Un-heterogenous Queuing

The old way: the GPU is slave to the CPU and can’t manage its own task queues

AMD’s new approach, the result of its work defining what it calls a Heterogenous System Architecture (HSA), grants the GPU the same memory access and work management capabilities and as the CPU has.

An hQ GPU, then, can monitor task queues to accept and schedule tasks, for both itself and for the CPU. Applications with work for the GPU just bundle up the job details and add it to the GPU’s dispatch queue in user memory. The kernel level driver path is eliminated and with it all the latency that currently exists.

At the heart of the system is AMD’s Heterogenous Unified Memory Architecture (hUMA) in which user memory is shared by the CPU and the GPU. However, a new addition is a standardised task dispatch packet format able to be understood by any HSA-compatible hardware, likewise a standard queue format. Apps can generate tasks in this new packet format directly, and there’s no need to translate the packets into intermediate or vendor-specific formats, which is one of the jobs drivers are currently required to do.

No longer having to translate and make copies task packets improves performance. So does having direct access to task queues in user memory because there’s no longer need for the latency inducing kernel mode changes imposed because the driver must operate in a protected memory space.

AMD Heterogenous Queuing

Equal cores: the Heterogeneous Queuing architecture

Enabling the hQ GPU to operate independently of the CPU creates more opportunities for the latter to be put to sleep while the GPU is rendering pixels and polygons, or crunching numbers as a massively parallel data processor. As such, says AMD, hQ’s benefits neatly scale from smartphone processors all the way up to data centre chippery.

Of course, all this only makes sense if more than one vendor is supporting the initiative, so AMD was quick to point out the HSA packet format is backed by its fellow HSA Foundation members, among them ARM, Qualcomm, Samsung, Mediatek and Texas Instruments.

There ought to be no shortage of HSA-compatible hardware, then, but will applications take advantage of it? AMD hopes its efforts to embed HSA into standard APIs such as OpenCL and OpenCV, allowing coders to benefit from the new approach without effort.

“We also plan to connect HSA through popular programming models such as Java and Python... and that delivers some of the benefits,” said AMD senior fellow Ben Sander.

“But you can use this stuff directly. That requires more investment by the programmer but you’re getting the ultimate control over the package and what’s sent to the GPU.”

What AMD isn’t saying, however, is when it will implement hQ in its own processors. ®

The essential guide to IT transformation

More from The Register

next story
So, Apple won't sell cheap kit? Prepare the iOS garden wall WRECKING BALL
It can throw the low cost race if it looks to the cloud
Samsung Gear S: Quick, LAUNCH IT – before Apple straps on iWatch
Full specs for wrist-mounted device here ... but who'll buy it?
Apple promises to lift Curse of the Drained iPhone 5 Battery
Have you tried turning it off and...? Never mind, here's a replacement
Now that's FIRE WIRE: HP recalls 6 MILLION burn-risk laptop cables
Right in the middle of Burning Mains Man week
Chumps stump up $1 MEELLLION for watch that doesn't exist
By the way, I have a really nice bridge you might like...
HUGE iPAD? Maybe. HUGE ADVERTS? That's for SURE
Noo! Hand not big enough! Don't look at meee!
AMD unveils 'single purpose' graphics card for PC gamers and NO ONE else
Chip maker claims the Radeon R9 285 is 'best in its class'
prev story

Whitepapers

Endpoint data privacy in the cloud is easier than you think
Innovations in encryption and storage resolve issues of data privacy and key requirements for companies to look for in a solution.
Implementing global e-invoicing with guaranteed legal certainty
Explaining the role local tax compliance plays in successful supply chain management and e-business and how leading global brands are addressing this.
Advanced data protection for your virtualized environments
Find a natural fit for optimizing protection for the often resource-constrained data protection process found in virtual environments.
Boost IT visibility and business value
How building a great service catalog relieves pressure points and demonstrates the value of IT service management.
Next gen security for virtualised datacentres
Legacy security solutions are inefficient due to the architectural differences between physical and virtual environments.