Hey, what do I get to have fun with?!?!
Honestly these days AGEIA sounds kinda desperate.
If you are there talking to AMD, NVIDIA (both of whom have there own physics solutions in the works, and far greater resources to push them) and Intel you aren't looking for someone to collaborate with you, you are looking for someone to buy you...
Honestly these days AGEIA sounds kinda desperate.
If you are there talking to AMD, NVIDIA (both of whom have there own physics solutions in the works, and far greater resources to push them) and Intel you aren't looking for someone to collaborate with you, you are looking for someone to buy you...
Developers seems to be adopting there API quite fine?
Thats all well and good but the API is free for the developer to use, thats why adoption has been good.
They need the hardware sales and right now there is no real compelling reason to buy a card, they need a killer app like 3DFX had with Tomb Raider or GLQuake and the likes, something which gives consumers a tangible benefit from having spent £200 on there card.
It's a big vector processor with onboard memory, much like a GPU. If you want to deal with large data sets, the PCI bus is going to stab you in the face. This isn't some crazy "hey, a PPU is exactly like a GPU" statement. It's a simple statement of fact regarding what a PPU actually is and what your average load would entail.And you trying to compare the architechture of the PPU to a GPU?
If so, have fun with that...
It's a big vector processor with onboard memory, much like a GPU. If you want to deal with large data sets, the PCI bus is going to stab you in the face. This isn't some crazy "hey, a PPU is exactly like a GPU" statement. It's a simple statement of fact regarding what a PPU actually is and what your average load would entail.
API differences have nothing to do with it. The architecture has nothing to do with it. You have a bottleneck. If you want to do what they propose, you will always be limited by this bottleneck in a really significant way.And disregarding the architechtual and API diifferences
API differences have nothing to do with it. The architecture has nothing to do with it. You have a bottleneck. If you want to do what they propose, you will always be limited by this bottleneck in a really significant way.
If they claim it's twice as fast as a Cell (which is twice as big), you might wonder where three quarters of the transistors of Cell are used for. They're used for local memory and fast communication.
So, it might be twice as fast, on very small datasets. And that's definitely a problem when you need to go through slow PCI to get your data, as the others said.
It's more specialized than the Cell is my impression.
What interests me is thelower power consumption, combiend with it's preformance.
Adn what bugs me is that so little is know about the acutual hardware and it's innner workings.
If the Clearspeeds can do real scientifc problem acceleration using the PCI bus with great efficiency I don't see why a PPU couldn't do the same with the right software tools.
Isn't there a PCIe version of the Ageia card out yet?If you want to deal with large data sets, the PCI bus is going to stab you in the face.
It's not out yet, but it has existed for quite a while.Isn't there a PCIe version of the Ageia card out yet?
They've been saying a PCIe PhysX card would be coming soon since PhysX was announced. Even with PCIe 1x, you're still quite a bit behind compared to the PCIe 16x link that GPUs have.Isn't there a PCIe version of the Ageia card out yet?
I thought that was demonstrated ages ago. Even 1x PCIe is like 3-4x faster than regular PCI or siomesuch isn't it?
Peace.
Even with PCIe 1x, you're still quite a bit behind compared to the PCIe 16x link that GPUs have.