In this context, we’ve made several attempts at handicapping the key throughput rates of GF100-based products, and we’ve constantly had to revise our expectations downward with each trickle of new information. Yet the GF100 project has been dogged by delays and the inevitable rumors about the problems that have caused them, among them the time-honored classics of chip yield, heat, and power issues. With a 50% wider path to memory and roughly half again as many transistors as Cypress, the GF100 ought to have no trouble capturing the overall graphics performance title. Now that the first-generation Larrabee has failed to materialize as a consumer product, the GF100 must face its sole rival in the form of the lean, efficient, and much smaller Cypress chip in AMD’s new Radeons. Nvidia may well have had both eyes on the potential competition from Intel and its vaunted Larrabee project when conceiving the GF100, with too little focus on the more immediate threat from AMD. New capabilities add time to the design cycle and complexity to the design itself. The trouble is that ambitious architectures and major technological advances aren’t easy to achieve. In this way, the GF100 is just as audacious an attempt at advancing the state of the art in graphics as it is in computing. With quad rasterizers and a host of geometry processing engines distributed across the chip, the GF100 has the potential nearly to quadruple the number of polygons possible in real-time graphics compared to even its fastest contemporaries (GT200 and AMD’s Cypress). Not only does Fermi support DirectX 11’s hardware tessellation-by means of which the GPU can amplify the polygon detail in a scene dramatically-but Nvidia believes it is the world’s first parallel architecture for geometry processing. As expected, the move to a DX11 feature set means the GF100 adopts nearly every major graphics feature its competitor has, but we were thrown for a loop by how extensively Nvidia’s architects chose to overhaul the GF100’s geometry processing capabilities. Nvidia eventually confirmed many of his hunches when it revealed the details of the GF100’s graphics architecture to us just after CES. Most of them, however, will be practically useless in a desktop PC, particularly since they have no utility in real-time graphics.Īfter we considered the compute-focused parts of the Fermi architecture, Rys reminded us all that the GF100 is still very much a graphics chip by offering his informed speculation about the specifics of its graphics hardware. Some of these provisions-better scheduling and caching, for instance-may have side benefits for consumers, whose GeForce cards have the potential to be especially good at GPU-based video transcoding or in-game physics simulations. The highlights include improved scheduling with the ability to execute multiple, concurrent kernels a real, fully coherent L2 cache robust support for double-precision floating-point math ECC-protected memories throughout the hierarchy and a large, unified address space with support for C++-style pointers. Thus, the GF100 has a number of compute-centric capabilities that no other GPU can match. Nvidia intends this chip to serve multiple markets, from consumer gaming cards to high-performance computing clusters, and the firm has committed an awful lot of time, treasure, and transistors toward making the GF100 well suited for GPU computing. Our first look at the GF100 was focused solely on the GPU architecture, dubbed Fermi, and how that architecture has been adapted to serve the needs of the nascent market for GPU-based computing devices. There is much to know about this three-billion-transistor behemoth, though, so we’ll try to bring you up to speed in brief. We’ve already covered the GF100 graphics chip and its architecture rather extensively here at TR, so we won’t cover the same ground again in any great detail here. We can say with confidence that the GF100 is nothing if not fascinating, regardless of whether it succeeds or fails. The GeForce GTX 470 and 480 are expected to be available soon, and we’ve wrangled several of them for testing. Meanwhile, Nvidia’s GF100 chip is later than a stoner to study hall.įortunately, our wait is coming to an end.
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In the intervening six months, AMD has fleshed out its Radeon HD 5000 series with a full suite of DirectX 11-class GPUs and graphics cards. Nvidia gave us a first glimpse at its latest GPU architecture about half a year ago, right around the time that AMD was introducing its Radeon HD 5870. Super Overclock SeriesGPU Gauntlet sortingUltra durable VGAPhyX technolog圜UDA technologySLI technologyRoHS compliantOpenGL 2.1 optimizationsMicrosoft DirectX 10Shader Model 4.Seems like we’ve been waiting for these new GeForces for a long time now.
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