army_ant7 :
@somebodyspecial
Hello again! (Not sure if you remember me.)
I'm thinking Wisecracker was addressing whyso about whatever advantages the 8790M has over the 650M, and I think his/her response was valid. It was just one statement with a plain and simple point (though comically written) without any other thoughts attached.
But if ever, there is a case to be made. Laptops may be used for photo and video editing, file compression, etc., and the most apparent one, gaming. All of which have examples of programs (or at least functions) that can utilize GPGPU. I won't deny that it isn't that big of a thing (yet), but it still proves to be an advantage nevertheless. (I would call the PhysX feature of Nvidia cards an advantage, though it really is only so in some games.)
Also, there's a case to be made about "future-proofing," though the future is always uncertain, I'd rather have something around that may prove useful in the future.
How could I forget someone who insulted me 42 different ways defending blazorthon & luciferano's ridiculous statements all while claiming not to be on the "team"...
The repeated attacks were something you just don't "forget"
Since the things you mention can all be done with cuda (adobe plugins etc, CS6 directly supports it now, or direct support in apps themselves, or via other api's, opencl etc), I'm not sure his statement holds any weight even if it ever was used on a laptop with this card or NV's. I'd say more future proofed on NV currently:
http://www.hpcwire.com/hpcwire/2012-11-12/nvidia:_70_leading_apps_add_support_for_gpu_accelerators.html
"GPU computing first gained momentum among researchers who could download CUDA to accelerate their own applications for scientific discovery and research," said Addison Snell, chief executive officer of Intersect360 Research. "We are now in a new era where more commercial software is GPU-optimized, providing accelerated options across the full spectrum of engineering and business computing."
A partial list of other GPU-accelerating applications shipping or in development include:
Computer-aided Engineering: Abaqus/Standard, Agilent ADS & EMPro, ANSYS Mechanical, CST MWS, MSC Nastran, Marc, OpenFOAM solver libraries, RADIOSS
Defense & Intelligence: DigitalGlobe Advanced Ortho Series, Exelis (ITT) ENVI, Incogna GIS, Intergraph Motion Video Analyst, MotionDSP Ikena ISR, PCI Geomatics GXL
Media & Entertainment: Adobe CS6, Autodesk 3ds Max & Maya,Cinema 4D, Houdini, Lightwave, Blackmagic DaVinci Resolve, Chaos V-Ray RT, Elemental Server, Telestream Vantage
Oil & Gas: Acceleware AxRTM, ffA SVI Pro, Headwave Suite, Paradigm Echos RTM, Schlumberger Visage, WesternGeco Omega2 RTM
Scientific Computing: AMBER, CHARMM, Chroma, FastROCS, GAMESS, GROMACS, GTC, WL-LSMS, MATLAB, MILC, NAMD, QUDA, VASP, VMD
Weather & Climate Forecasting: COSMO, GEOS-5, HOMME, HYCOM, WRF, NEMO, NIM
A complete list is available at www.nvidia.com/teslaapps. "
http://www.nvidia.com/object/gpu-applications.html
http://www.nvidia.com/docs/IO/123576/nv-applications-catalog-lowres.pdf
Sure some of that stuff is HPC serious work, but some of the apps in there are desktop engineering etc. CAD, Lightwave, PTC etc...Done on any cuda gpu.
An entire site dedicated to this stuff, 415Million Cuda gpu's supported (I think all NV gpus that are still running...LOL...but at least since 2006, noted in the article). Do all of AMD gpu's support gpgpu and to this extent? Nvidia's been laying groundwork on this since 2006 which as you can see above is now coming into full use. Year after year of not being in debt while sitting on billions allowed them to invest in this & foster it's development to the point where now, you really can do almost everything on their proprietary platform. With the release of cuda 5 recently this is only growing faster now. It's kind of like being in the apple ecosystem at this point. It gets harder and harder to leave all the compatibility/interoperability etc (I own no apple product, just comparing situations). Whether a fan of proprietary crap or not (I'm not, but good for my stock eventually...LOL) NV has pretty much won this war. Let's not forget where more money has recently went to; Nvidia VGX. Full access to your gpu's abilities direct, no abstraction, virtually. Open stuff is one thing (but NV supports that too, same as AMD, like opencl) but NV has a whole slew of things optimized that AMD can't claim for now like it or not. We're not talking folding@home or bitcoin mining here. The future is NOW on NV, it doesn't need to be 'hope it's future-proof' or maybe one day opencl will rule. Cuda isn't going away, rather it's growing by leaps and bounds. I think I "Made my case" no??
I understood exactly what he was saying and who it was too. Not a valid response IMHO. I see no advantage AMD. Don't start this crap again please.
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