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Task V. What do the following acronyms stand for? Match the equivalents.
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ISA, NUMA, CPU, GPU, VPU,
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Instruction Set Architecture, Non – Unifirm Memory Access, Central Processing Unit, Graphic Processing Unit, Visual Processing Controller
Unit II. Graphics processing unit
Task I. Key vocabulary.
Find the Russian equivalents of the following words and word combinations:
Device, to comprise, cathode ray tube, to coat, blanking, display resolutions, persistence, to occur, to gain, to render, dualhead-Using, triplehead-Using, display assembly, command option.
Task II.
1) Read texts to comprehend its subject matter and to note the terminological words and word combinations.
2) Look through texts below to copy out the key words and sentences containing the main idea of the texts.
3) Make use of these key words and sentences to compile a short topic to be presented to your classmates at the classroom.
4) After this, try to make common Abstract (orally or in writing).
A Graphics Processing Unit or GPU (also occasionally called Visual Processing Unit or VPU) is a dedicated graphics rendering device for a personal computer, workstation, or game console. Modern GPUs are very efficient at manipulating and displaying computer graphics, and their highly parallel structure makes them more effective than typical CPUs for a range of complex algorithms. A GPU usually sits on top of a video card, although lower-end chips often are integrated directly into the motherboard.
A GPU implements a number of graphics primitive operations in a way that makes running them much faster than drawing directly to the screen with the host CPU. The most common operations for early 2D computer graphics include the BitBLT operation (combines several bitmap patterns using a RasterOp), usually in special hardware called a " blitter ", and operations for drawing rectangles, triangles, circles, and arcs. Modern GPUs also have support for 3D computer graphics, and typically include digital video-related functions as well.
GeForce 6600GT (NV43) Radeon 9800 Pro (R350) GPU
History. Early 1980s. Modern GPUs are descended from the monolithic graphic chips of the early 1980s and 1990s. These chips had limited BitBLT support in the form of sprites (if they had BitBLT support at all), and usually had no shape-drawing support. Some GPUs could run several operations in a display list, and could use DMA to reduce the load on the host processor; an early example was the ANTIC co-processor used in the Atari 800 and Atari 5200. In the late 1980s and early 1990s, high-speed, general-purpose microprocessors became popular for implementing high-end GPUs. Several high-end graphics boards for PCs and computer workstations used TI's TMS340 series (a 32-bit CPU optimized for graphics applications, with a frame buffer controller on-chip) to implement fast drawing functions; these were especially popular for CAD applications. Also, many laser printers from Apple shipped with a PostScript raster image processor (a special case of a GPU) running on a Motorola 68000-series CPU, or a faster RISC CPU like the AMD 29000 or Intel i960. A few very specialized applications used digital signal processors for 3D support, such as Atari Games' Hard Drivin' and Race Drivin' games.
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As chip process technology improved, it eventually became possible to move drawing and BitBLT functions onto the same board (and, eventually, into the same chip) as a regular frame buffer controller such as VGA. These cut-down "2D accelerators" were not as flexible as microprocessor-based GPUs, but were much easier to make and sell.
The Commodore Amiga was the first mass-market computer to include a bitter in its video hardware, and IBM's 8514 graphics system was one of the first PC video cards to implement 2D primitives in hardware.The Amiga was unique, for the time, in that it featured what would now be recognized as a full graphics accelerator, offloading practically all video generation functions to hardware, including line drawing, area fill, block image transfer, and a graphics coprocessor with its own (though primitive) instruction set. Prior (and quite some time after on most systems) a general purpose CPU had to handle every aspect of drawing the display.
By the early 1990s, the rise of Microsoft Windows sparked a surge of interest in high-speed, high-resolution 2D bitmapped graphics (which had previously been the domain of Unix workstations and the Apple Macintosh). For the PC market, the dominance of Windows meant PC graphics vendors could now focus development effort on a single programming interface, Graphics Device Interface (GDI).
In 1991, S3 Graphics introduced the first single-chip 2D accelerator, the S3 86C911 (which its designers named after the Porsche 911 as an indication of the speed increase it promised). The 86C911 spawned a host of imitators: by 1995, all major PC graphics chip makers had added 2D acceleration support to their chips. By this time, fixed-function Windows accelerators had surpassed expensive general-purpose graphics coprocessors in Windows performance, and these coprocessors faded away from the PC market.
Throughout the 1990s, 2D GUI acceleration continued to evolve. As manufacturing capabilities improved, so did the level of integration of graphics chips. Video acceleration became popular as standards such as VCD and DVD arrived, and the Internet grew in popularity and speed. Additional application programming interfaces (APIs) arrived for a variety of tasks, such as Microsoft's WinG graphics library for Windows 3.x, and their later DirectDraw interface for hardware acceleration of 2D games within Windows 95 and later.
In the early and mid-1990s, CPU-assisted real-time 3D graphics were becoming increasingly common in computer and console games, which lead to an increasing public demand for hardware-accelerated 3D graphics. Early examples of mass-marketed 3D graphics hardware can be found in fifth generation video game consoles such as PlayStation and Nintendo 64. In the PC world, notable failed first-tries for low-cost 3D graphics chips were the S3 ViRGE, ATI Rage, and Matrox Mystique. These chips were essentially previous-generation 2D accelerators with 3D features bolted on. Many were even pin-compatible with the earlier-generation chips for ease of implementation and minimal cost. Initially, performance 3D graphics were possible only with separate add-on boards dedicated to accelerating 3D functions (and lacking 2D GUI acceleration entirely) such as the 3dfx Voodoo. However, as manufacturing technology again progressed, video, 2D GUI acceleration, and 3D functionality were all integrated into one chip. Rendition's Verite chipsets were the first to do this well enough to be worthy of note.
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As DirectX advanced steadily from a rudimentary (and perhaps tedious) API for game programming to become one of the leading 3D graphics programming interface, 3D accelerators evolved seemingly exponentially as years passed. Direct3D 5.0 was the first version of the burgeoning API to really dominate the gaming market and stomp out many of the proprietary interfaces. Direct3D 7.0 introduced support for hardware-accelerated transform and lighting (T&L). 3D accelerators moved beyond of being just simple pasteurizers to add another significant hardware stage to the 3D rendering pipeline. The nVidia GeForce 256 (also known as NV10) was the first card on the market with this capability. Hardware transform and lighting set the precedent for later pixel shader and vertex shader units which were far more flexible and programmable.
2000 to present. With the advent of the DirectX 8.0 API and similar functionality in OpenGL, GPUs added programmable shading to their capabilities. Each pixel could now be processed by a short program that could include additional image textures as inputs, and each geometric vertex could likewise be processed by a short program before it was projected onto the screen. nVidia also held the crown for being the first to market with a chip capable of programmable shading, the GeForce 3 (also known as NV20). By October 2002, with the introduction of the ATI Radeon 9700 (also known as R300), the world's first Direct3D 9.0 accelerator, pixel and vertex shades could implement looping and lengthy floating point math, and in general were quickly becoming as flexible as CPUs, and orders of magnitude faster for image-array operations.
Today, parallel GPUs have begun making computational inroads against the CPU, and a subfield of research, dubbed GPGPU for General Purpose Computing on GPU has found its way into fields as diverse as oil exploration, scientific image processing, and even stock options pricing determination. There is increased pressure on GPU manufacturers from "GPGPU users" to improve hardware design, usually focusing on adding more flexibility to the programming model.
The newest version of DirectX, DirectX10 is currently released with Microsoft Windows Vista.
Computational functions. Modern GPUs use most of their transistors to do calculations related to 3D computer graphics. They were initially used to accelerate the memory-intensive work of texture mapping and rendering polygons, later adding units to accelerate geometric calculations such as translating vertices into different coordinate systems. Recent developments in GPUs include support for programmable shaders which can manipulate vertices and textures with many of the same operations supported by CPUs, oversampling and interpolation techniques to reduce aliasing, and very high-precision color spaces. Because most of these computations involve matrix and vector operations, engineers and scientists have increasingly studied the use of GPUs for non-graphical calculations.
In addition to the 3D hardware, today's GPUs include basic 2D acceleration and frame buffer capabilities (usually with a VGA compatibility mode). In addition, most GPUs made since 1995 support the YUV color space and hardware overlays (important for digital video playback), and many GPUs made since 2000 support MPEG primitives such as motion compensation and iDCT. Recent graphics cards even decode high-definition video on the card, taking some load off the central processing unit.
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GPU forms. Dedicated graphics cards. The most powerful class of GPUs typically interface with the motherboard by means of an expansion slot such as PCI Express (PCIE) or Accelerated Graphics Port (AGP) and can usually be replaced or upgraded with relative ease, assuming the motherboard is capable of supporting the upgrade. However, a dedicated GPU is not necessarily removable, nor does it necessarily interface with the motherboard in a standard fashion. The term "dedicated" refers to the fact that dedicated graphics cards have RAM that is dedicated to the card's use, not to the fact that most dedicated GPUs are removable. Dedicated GPUs for portable computers are most commonly interfaced through a non-standard and often proprietary slot due to size and weight constraints. Such ports may still be considered AGP or PCI Express, even if they are not physically interchangeable with their counterparts.
Multiple cards can draw together a single image, so that the number of pixels can be doubled and antialiasing can be set to higher quality. If the screen is parted into a left and right, each card can cache the textures and geometry from their side. But to trash the cache the screen is often parted into odd and even scan lines.
Integrated graphics solutions, or shared graphics solutions are graphics processors that utilize a portion of a computer's system RAM rather than dedicated graphics memory. Such solutions are typically far less expensive to implement in comparison to dedicated graphics solutions, but at a trade-off of being far less capable and are generally considered unfit to play modern games as well as run graphically intensive programs such as Adobe Flash (examples of such IGPs would be offerings from SiS and VIA circa 2004.) However, today’s integrated solutions such as the Intel's GMA 950, AMD's Radeon Xpress 200 and nVidia's nForce IGPs are more than capable of handling 2D graphics from Adobe Flash or low stress 3D graphics. Of course the aforementioned GPU's still struggle with high-end video games. Modern desktop motherboards often include an integrated graphics solution and have expansion slots available to add a dedicated graphics card later.
As a GPU is extremely memory intensive, an integrated solution finds itself competing for the already slow system RAM with the CPU as it has no dedicated video memory. System RAM may be 2 GB/s to 8 GB/s, yet dedicated GPUs enjoy between 10 GB/s and 88 GB/s of bandwidth depending on the model. Another big problem with most integrated graphics solutions is their lack of hardware transform and lighting. This forces the CPU to do all the geometry transformations. This eats away at the CPU's potential performance as it now has to balance the OS, application logic, and 3D lighting/geometry. Virtually all discrete graphic cards have GPUs with dedicated transform and lighting, thus freeing up the CPU to concentrate on the application logic.
Hybrid solutions. This newer class of GPU's competes with integrated graphics in the low-end PC and notebook markets. The most common implementations of this are ATi's HyperMemory and nVidia's TurboCache. Hybrid graphics cards are somewhat more expensive than integrated graphics, but much less expensive than dedicated graphics cards. These also share memory with the system memory, but have a smaller amount of memory on-board than discrete graphics cards do to make up for the high latency of the system RAM. Technologies within PCI Express can make this possible. While these solutions are sometimes advertised as having as much as 512MB of RAM, this refers to how much can be shared with the system memory.
Stream processing/GPGPU
A new concept application for GPU's is that of Stream processing and the General Purpose Graphics Processing Unit. This concept turns the massive floating-point computational power of a modern graphics accelerator's shader pipeline into general-purpose computing power, as opposed to being dedicated solely to graphical operations. In certain applications requiring massive vector operations, this can yield several orders of magnitude higher performance than a conventional CPU. The two largest discrete GPU designers, ATi and nVidia, are beginning to pursue this new market with an array of applications. ATi has teamed with Stanford University to create a GPU-based client for its Folding@Home distributed computing project that in certain circumstances yields results forty times faster than the conventional CPU's traditionally used in such applications.
Assignments
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