Archive for the ‘General’ Category

ATI doesn’t support Radeon 4xxx for OpenCL

Thursday, March 4th, 2010

Looking at the ATI web site and supported OpenCL graphic card, I discovered that any Radeon 4xxxx is marked as “Beta support” for OpenCL: it’s terribly bad to not support the mainstream cards found in the last 2 years on PC (or actual iMac on Windows!).

If you look at nVidia support for OpenCL (& CUDA), every GPU created since 2006 (GeForce 8800 GTS using G80 core) is compatible and fully supported!

Please, ATI, go ahead and ensure full support of OpenCL on these Radeon 4xxx w/ RV700 core (not asking for impossible support of older GPU), don’t let nVidia rule the GPGPU market!

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Apple Aperture 3 and OpenCL

Thursday, February 11th, 2010

Apple Aperture 3 is probably the first mainstream application to use OpenCL technology. It’s not on the specifications or technical informations, but it use OpenCL for RAW decoding and processing, from start to finish, and it’s a brilliant idea, even if the software is not as fast as I expected.

I discovered that, after some forums reading, and trying Aperture 3, doing same tasks using IGP GeForce 9400M on my MacBook Pro 17″ and the GeForce 9600M GT GPU (approx. 3X faster). Simple basic tasks as Thumbnail generation is really faster with the later, showing real usage of the GPU as a resource. This is not true demonstration of use of OpenCL but as it only supports Snow Leopard OS and Snow Leopard CoreImage technology switched from OpenGL shaders to OpenCL, this is highly probable.

Anyway, beside all drawbacks on Aperture 3 (memory usage, cpu usage, stupid multi-threading implementation…), that let LightRoom rule the market, it’s cool to see usage of new technology, and the turbo-boost that OpenCL may gives to mainstream applications!

As I stated on some forums about choosing a MacBook Pro with IGP GeForce 9400M or one with a “real” GPU GeForce 9600M GT, with OpenCL being used, the previous will stay slow albeit with fast GPU, the second one will be faster with new applications offering it longer life as a useful production tool!

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Rebranded nVidia GeForce 8xxx actually sold as G, GT or GTS

Tuesday, January 12th, 2010

This is a list of rebranded GeForce 8 series GPU, sold as 9 series or even G/GT/GTS series! The same old GPU sold with little modifications but heavy rebranding to make them “new” :-)

Desktop GeForce GPU:

  • GeForce 8300 GS -> G205
  • Geforce 8400M G -> 9300M GS -> G105M
  • GeForce 8400M GS -> G110M -> G210M -> G305M
  • GeForce 8400M GT -> G310M
  • GeForce 8400 GS -> G100 -> G210 -> G310
  • GeForce 8500 GT -> 8600M GS -> 9400 GT -> 9600M GT
  • GeForce 8600 GT -> 9500 GT -> GT120
  • GeForce 8600M GS -> 9500M GS ->9600M GS
  • GeForce 8600M GT -> 9600M GT -> GT120M
  • GeForce 8700M GT -> 9650M GS -> GT130M
  • GeForce 8800 GS -> 8800M GTX -> 9600 GSO -> 9700M GTS -> 9800M GT -> GT130 -> GT220 -> GT230M -> GT240 -> GT240M -> GTS250M -> GTS260M -> GT325M -> GTS350M -> GTS360M
  • GeForce 8800M GTS -> 9600 GT -> 9800M GS -> 9800M GTS -> GTS150M -> GTS160M -> GT230
  • GeForce 8800 GT -> 9800 GT -> 9800M GTX -> GTS240 -> GTX260M
  • GeForce 8800 GT 512 -> 9800 GTX -> GTS150 -> GTS250 -> GTX280M

These GPU has been rebranded many times, the winner being GeForce 8800 GS, the good-old G80 that ruled the world in 2006, and is always sold with die-shrink and little modification as a brand-new GPU :-)

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ATI Radeon HD5870 Mobility: OpenCL Teraflop on a laptop

Friday, January 8th, 2010

The new ATI Radeon HD 5870 use the same 5xxx generation chip that offer full OpenCL 1.0 support, equivalent to nVidia’s GeForce 8xxx and later, but break the Teraflop MAD on a mobile GPU with 1120 Gigaflops!!!

Yes you read this well, you will be able to find laptops with 1 Teraflop raw power inside their GPU before spring, it will be at least 20X the processing power of the multi-core CPU of these laptops!

As a reminder, ASCI RED supercomputer broke the 1 Teraflop barrier in December 1996, with 4510 Pentium-Pro processors. Now you may do calculation at an equivalent pace with a laptop, only 13 years later! ouch!

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ATI Radeon 4xxx OpenCL benchmarks

Tuesday, November 10th, 2009

There’s some OpenCL benchmarks out there, and on OpenCL Benchmark that test real GPGPU computation, instead of pure processing power on theorical computation, Radeon 4xxx series lag far far behind of nVidia actual GPU.

ATI Radeon 3xxx and 2xxx are not supported, albeit nVidia’s GPU are supported since 2006 G80 (GeForce 8800 and any GeForce 8 series or later GPU), and Radeon 4xxx are just underperforming, lacking shared memory (memory inside each processor core).

Lacking “shared memory” means that for any data access Radeon 4xxx have to access global video card memory, that is usually 20X to 30X slower, and worse, memory bandwidth on Radeon graphic card are 2X to 3X slower than on nVidia’s. This is not an handicap for games, where radeon are really great graphic card, but it is for GPGPU and OpcnCL.

The result of lacking Shared Memory and slow graphic card memory: a Radeon 4870 (around 200$ street) could not compete with GeForce 9400M IGP (found on Mac Mini, MacBook Air, MacBook…), and a GeForce 9400M iMac will beat any ATI Radeon 4850 iMac when it’s time to compare OpenCL performances! :-(

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