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[WCCF]AMD Launching 28nm Kaveri APU with Steamroller Cores in 2H 2013 - Page 4

post #31 of 106
OMG! Kaveri sounds promising...I'd totally build a matx or mitx rig with wc using this platform biggrin.gif
post #32 of 106
I'm wondering what developers are going to start with HSA first. Once I find out if the games & applications I use will be made HSA aware, then I'll decide to be an early adopter (or at least build a 2nd rig and perhaps resell it when the AM3 Steamroller comes out if it's worthwhile).

This is good news for AMD regardless. smile.gif
 
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post #33 of 106
Anyone know what AMD means when they say Kaveri is the first HSA-enabled APU? In the AMD opencl forum I know they've said the existing Lhano and Trinity APUs already avoid unnecessary buffer copies when going between host and device. I'd like to understand what in technical terms is the advantage of "fully HSA enabled".
post #34 of 106
Quote:
Originally Posted by voidptr View Post

Anyone know what AMD means when they say Kaveri is the first HSA-enabled APU? In the AMD opencl forum I know they've said the existing Lhano and Trinity APUs already avoid unnecessary buffer copies when going between host and device. I'd like to understand what in technical terms is the advantage of "fully HSA enabled".

Kaveri is the first AMD APU to support fully shared address space between CPU and GPU.



its explained in this roadmap. the 2013 architectural integration is kaveri. the benefits of shared memory are massive for GPGPU and making it easier for programmers to use GPU power.
Edited by raghu78 - 1/13/13 at 8:26pm
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post #35 of 106
Quote:
Originally Posted by voidptr View Post

Anyone know what AMD means when they say Kaveri is the first HSA-enabled APU? In the AMD opencl forum I know they've said the existing Lhano and Trinity APUs already avoid unnecessary buffer copies when going between host and device. I'd like to understand what in technical terms is the advantage of "fully HSA enabled".

If i understand correctly the gpu will be able to crunch a lot of the processing with the cpu => super awesomeness
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post #36 of 106
 
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post #37 of 106
Raghu78- thanks for that reply. I'm not sure how to make sense of it all, given that AMD has said the older generations of APUs avoid necessity of opencl host->buffer copies already, since GPU and CPU share memory in APUs since Lhano. As far as I can see, that is the only advantage of shared address space between CPU and APU. Maybe I just need to do my own benchmarks on OpenCL code, and see how much benefit there is.

I'm trying to decide if building an FM2 APU machine is worthwhile, vs discrete GPU on the machines I already have. From where I'm sitting, there is a big loss in the number of stream processors and memory bandwidth when you run opencl code on APU vs a high-end GPU, and the only benefit is the reduction in buffer copy overhead. Unless some day the APU will have as many stream processors and as much memory bandwidth as discrete GPU. Right now, it's way, way behind. DDR3 on FM2 is nowhere near the bandwidth you get with 384-bit wide bus with GDDR5 on a 7970.

Maybe the "Bolt" library will have something wonderful that justifies it. At the present moment, Bolt is still missing a link on hsafoundation.com.
Edited by voidptr - 1/13/13 at 9:58pm
post #38 of 106
Quote:
Originally Posted by voidptr View Post

Raghu78- thanks for that reply. I'm not sure how to make sense of it all, given that AMD has said the older generations of APUs avoid necessity of opencl host->buffer copies already, since GPU and CPU share memory in APUs since Lhano. As far as I can see, that is the only advantage of shared address space between CPU and APU. Maybe I just need to do my own benchmarks on OpenCL code, and see how much benefit there is.

I'm trying to decide if building an FM2 APU machine is worthwhile, vs discrete GPU on the machines I already have. From where I'm sitting, there is a big loss in the number of stream processors and memory bandwidth when you run opencl code on APU vs a high-end GPU, and the only benefit is the reduction in buffer copy overhead. Unless some day the APU will have as many stream processors and as much memory bandwidth as discrete GPU. Right now, it's way, way behind. DDR3 on FM2 is nowhere near the bandwidth you get with 384-bit wide bus with GDDR5 on a 7970.

Maybe the "Bolt" library will have something wonderful that justifies it. At the present moment, Bolt is still missing a link on hsafoundation.com.

Its not trying to do what your achieving with your discrete gpu. Its using the apu's gpu to bring cpu performance to a new level. Discrete gpu's will still do what they do best.
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post #39 of 106
Quote:
Originally Posted by motoray View Post

Its not trying to do what your achieving with your discrete gpu. Its using the apu's gpu to bring cpu performance to a new level. Discrete gpu's will still do what they do best.

They can try, and I'm cheering for them. However, a lot of difficulty with this is getting developers onboard to develop the software that will take advantage of this technology. So while the hardware is there, the software is not. It is hard to write multithreaded programs - even for a puny quad core. How long will it take for developers to master something as advanced as HSA?

I think AMD and the other members of HSA really needs to market this technology. As a developer, I would love to get some experience doing stuff like this. It would be very interesting to see how much an performance improvement if software began to use hardware appropriately.
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post #40 of 106
Quote:
Originally Posted by Sequences View Post

They can try, and I'm cheering for them. However, a lot of difficulty with this is getting developers onboard to develop the software that will take advantage of this technology. So while the hardware is there, the software is not. It is hard to write multithreaded programs - even for a puny quad core. How long will it take for developers to master something as advanced as HSA?

I think AMD and the other members of HSA really needs to market this technology. As a developer, I would love to get some experience doing stuff like this. It would be very interesting to see how much an performance improvement if software began to use hardware appropriately.

If you have been following HSA at all, AMD has been developing tools to make it easy for developers to program for HSA, such that it would be no different or very little different from what they're used to now.
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