440 likes | 672 Views
The Future of Graphics Hardware. Turner Whitted Graphics Group/Hardware Devices Group. Bibliography. The Tyranny of Polygons and Pixels (1994) Graphics Architecture (1996) Display System Performance (1998) The Rendering Problem: Architectures (1999) IBR: Hardware and Software Issues (2000).
E N D
The Future of Graphics Hardware Turner Whitted Graphics Group/Hardware Devices Group
Bibliography • The Tyranny of Polygons and Pixels (1994) • Graphics Architecture (1996) • Display System Performance (1998) • The Rendering Problem: Architectures (1999) • IBR: Hardware and Software Issues (2000)
How did we get to where we are now What is the immediate future of graphics processors The distant future Graphics genealogy Why pixels? Why polygons Performance What does it mean to have to much? New graphics IBR New algorithms, displays, processors Overview
Abandoning and rediscovering real time Radiosity Ray tracing Blinn&Newell Warnock Bouknight Bui Tuong Phong Catmull Gouraud Watkins Real Time 1969 1979 1989
Rapidly improving performance Slowly evolving architecture Conventional graphics processor
Why polygons? Why pixels? • (x0,y0), (x1,y1) is simple and convenient • Endpoints of a line • Incremental computation • Coherent addressing • (xi,yi) • Works for storage tubes, plotters, oscilloscopes, and digitized television • The classic pipeline: it’s so simple.
Implementing the pipeline SGI VGX
Generic processing element • Almost all graphics engines are built from DSP-like cores
Evolution of the classic pipeline Host process Graphics hardware
Mip-mapping address generation is not regular Filtering is ad-hoc Mapping computation is overly complex Bandwidth/filtering/computation
Multi-pass texturing Simple addition to conventional graphics processor … Combiner but fill rate is reduced proportional to the number of passes.
video refresh Graphics chip performance
Multi-texture sparse volume rendering Translate excess fill rate into layered volume textures Excess performance = new features from Jed Lengyel Microsoft Research
3D geometry vs. 2D images O • Rich content • Can rotate, scale, etc., but no significant 3D effects • Render geometry, paint texture • Good 3D rendering, but image (still) looks synthetic
What is IBR? • View independent re-rendering of acquired imagery • Re-use of synthetic imagery • Rendering from sample-based intermediate representations
Graphics/imaging continuum Concentric mosaics Image centric Geometry centric Sprites with depth View-dependent geometry View-dependent texture Light field Fixed geometry Lumigraph Polygon rendering + texture mapping Interpolation Warping
IBR issues • Hardware • Conventional architecture is not efficient for IBR functions • Software • How to map IBR onto graphics hardware (for the time being) • Consolidation of functions (instead of numerous ad hoc methods)
IBR claims • An image-based rendering architecture is beneficial. • A new architecture is easier to achieve than one might imagine.
Generic physical blocks Read Mapper Cache Common Memory Recon- Write Struction/ Filtering Cache
{ Incremental Mapping Computation, e.g. [McMillan95] Generic IBR function blocks
Generic IBR function blocks { Programmable Function Blocks { Hardwired Function Block
Polygon engine functional blocks IBR maps onto a subset of the polygon processor
3D text experiment • Extend IBR/volume rendering to text • Superior image reconstruction • Higher image quality than mip-mapped texture Olynyk, Mitchell, Snyder Microsoft Research
Displays • 60 years of TV at 512x480 • 15 years of desktops at 4X TV resolution • 130 dpi LCDs this year • 200 dpi LCDs in the lab
My office • Imagine the whole window as a display
Large format displays that I can read from across the room or close up. Smart wallpaper What I really want
Displays get bigger Processors get smaller Need faster wire An architectural dilemma
Refresh bandwidth • Current Desktop • pixel density 100 dpi • size 12x9 in. • resolution 1280x1024 • bandwidth 236MB/sec • Wall size • size 108x72 in. • resolution 11520x8192 • bandwidth 16.9 GB/sec
More refresh bandwidth • Desktop • pixel density 600 dpi • size 12x9 in. • resolution 7200x5400 • bandwidth 7 GB/sec • Wall size • size 108x72 in. • resolution 64800x43200 • bandwidth 504 GB/sec
Actual resolution • There are two lies in the previous data: • the pixel density is not uniform • from a distance I can’t see peak resolution • up close I can’t see the whole screen • the update rate is too high by a factor of at least 10 because of temporal redundancy • use sprites
How do we efficiently get the graphics processor to where the image is needed No one knows. Architecture for large displays
Summary • Conventional pipeline is dated • Image processing dominates computation • Short-term evolution is trivial • Requires only functional changes • Distant future of graphics architecture • No Moore’s law for wire* • Requires structural changes
SGI O2 Entire graphics processor is embedded in the memory controller
Software for a new engine • Path 1): • Define options of a common operation • Path 2): [Snyder00] • Push fixed functions to the back end • Push programmable functions to the front end • Allow any reasonable algorithm
Taxonomy • Memory intensive • Processor intensive • Bandwidth intensive
Pixel Density for Single User • pixel density at center of screen: r0 x d
Todays graphics processor Near term graphics processor Future visual processor Evolving graphics processor