Graphics processing with transcendental function generator

Information

  • Patent Grant
  • 6181355
  • Patent Number
    6,181,355
  • Date Filed
    Thursday, July 15, 1999
    25 years ago
  • Date Issued
    Tuesday, January 30, 2001
    24 years ago
Abstract
A graphics processor for processing vertices of a polygon includes an input for receiving an instruction for processing a given vertex, memory for storing a first lookup table and a second lookup table, and an interpolation engine that, responsive to receipt of the instruction from the input, selects one of the lookup tables, determines table output from the one of the lookup tables, and produces an output value based upon the table output and data relating to the given vertex. Each of the first and second lookup tables may correspond to a selected function and contains table output as a function of an input value. The input value corresponds to data relating to the given vertex.
Description




FIELD OF THE INVENTION




The invention generally relates to computer systems and, more particularly, the invention relates to processing graphics request data for display on a computer display device.




BACKGROUND OF THE INVENTION




Three dimensional graphics request data commonly is processed in a computer system as a plurality of polygons having vertices. Each of the vertices have associated attribute data (e.g., color, transparency, depth, etc . . . ) that is utilized to rasterize pixels on a computer display device.




Vertices commonly are subjected to a plurality of different types of geometry calculations prior to being rasterized. Common functions typically include addition and multiplication functions. Specialized geometry accelerators often are utilized to perform such functions. Additionally, some transcendental functions commonly are required in vertex processing. Such calculations, for example, may be to determine an inverse square root of a number, or 2 raised to a power. Many geometry accelerators include a lookup table for each transcendental or elementary used function. Each lookup table typically has accompanying interpolation hardware for enhancing the accuracy of the transcendental functions by interpolating the results of the lookup table.




SUMMARY OF THE INVENTION




In accordance with one aspect of the invention, a graphics processor for processing vertices of a polygon includes an input for receiving an instruction for a processing step, memory for storing a first lookup table and a second lookup table, and an interpolation engine that, responsive to receipt of the instruction from the input, selects one of the lookup tables, determines table output from the one of the lookup tables, and produces an output value based upon the table output and data relating to the given vertex. In preferred embodiments, each of the first and second lookup tables corresponds to a selected function and contains table output as a function of an input value. The input value corresponds to data relating to the given vertex.




In other embodiments, the graphics processor also includes a multiplexer for enabling the interpolation engine to couple to either of the first and second lookup tables. The graphics processor also may have a plurality of additional lookup tables, where the interpolation engine is selectively coupled with any of the first, second or additional lookup tables.




In accordance with other aspects of the invention, an apparatus for processing computer graphics requests includes a graphics request input, and a processor coupled to the graphics request input. The processor is responsive to instructions and has an output. Among other things, the processor preferably includes a transcendental function generator with a plurality of lookup tables, and an interpolator engine selectably coupled to one of the plurality of lookup tables. Each table preferably corresponds to a particular transcendental function and contains interpolation coefficients.




In preferred embodiments, the apparatus includes a multiplexer for enabling the interpolator engine to selectively couple to any one of the plurality of lookup tables.











BRIEF DESCRIPTION OF THE DRAWINGS




The foregoing and other objects and advantages of the invention will be appreciated more fully from the following further description thereof with reference to the accompanying drawings wherein:





FIG. 1

schematically shows a portion of an exemplary computer system on which preferred embodiments of the invention may be implemented.





FIG. 2

schematically shows a preferred graphics accelerator that may be utilized in accord with preferred embodiments of the invention.





FIG. 3

shows a preferred embodiment of a transcendental function generator within a geometry accelerator shown in FIG.


2


.





FIG. 4

shows a preferred method utilized by the transcendental function generator shown in

FIG. 3

for producing output data.











DESCRIPTION OF PREFERRED EMBODIMENTS





FIG. 1

shows a portion of an exemplary computer system


100


on which preferred embodiments of the invention may be implemented. More particularly, the computer system


100


includes a host processor


104


(i.e., a central processing unit) for executing application level programs and system functions, volatile host memory


102


for short term data storage (i.e., random access memory), a graphics accelerator


106


for processing graphics request code in accord with preferred embodiments of the invention (see FIG.


4


), and a bus coupling all of the prior noted elements of the system


100


. The system


100


further includes a display device


108


for displaying the graphics request code processed by the accelerator


106


. The graphics accelerator


106


preferably utilizes any well known graphics processing application program interface such as, for example, the OPENGL™ application program interface (available from Silicon Graphics, Inc. of Mountain View, Calif.) for processing three dimensional (“3D”) and two dimensional (“2D”) graphical request code. In preferred embodiments, the host processor


104


executes a graphical drawing application program such as, for example, the PLANT DESIGN SYSTEM™ drawing program, available from Intergraph Corporation of Huntsville, Ala.





FIG. 2

shows several elements of the graphics accelerator


106


. In preferred embodiments, the graphics accelerator


106


includes a double buffered frame buffer


200


(i.e., having a back buffer and a front buffer) for storing the processed graphics request code in accord with the OPENGL™ interface. Among other things, the graphics accelerator


106


also preferably includes a geometry accelerator


202


for performing geometry operations that commonly are executed in graphics processing, a rasterizer


204


for rasterizing pixels on the display device


108


, and a resolver


206


for storing data in the frame buffer


200


and transmitting data from the frame buffer


200


to the display device


108


. As noted above, the graphics accelerator


106


preferably is adapted to process both 2D and 3D graphical data. For more information relating to preferred embodiments of the graphics accelerator


106


, see, for example, copending patent application entitled “WIDE INSTRUCTION WORD GRAPHICS PROCESSOR”, filed on Jul. 15, 1999 and claiming priority from provisional patent application serial number 60/093,165, and copending U.S. patent application entitled “MULTI-PROCESSOR GRAPHICS ACCELERATOR”, filed on Jul. 15, 1999 and claiming priority from provisional U.S. patent application serial number 60/093,247, the disclosures of which are incorporated herein, in there entireties, by reference.





FIG. 3

shows a preferred embodiment of a transcendental function generator (“function generator


300


”) within the geometry accelerator


202


shown in FIG.


2


. As is known to one skilled in the art, a transcendental function may be represented by the combination of elementary functions, such as addition and multiplication, in conjunction with coefficients values specific to the transcendental function. The function generator


300


includes first, second, and third lookup tables


302


A,


302


B, and


302


C for producing output coefficient values based upon an input variable, an interpolation engine


304


for calculating an output value based upon the output coefficient values in selected ones of the lookup tables


302


A-


302


C, and a multiplexer


306


for enabling the interpolation engine


304


to selectively couple with any one of the three lookup tables


302


A-


302


C. The input variable preferably is a vertex data value such as, for example, an input lighting datum. The lookup tables are used to represent the output coeffiecents of the transcendental function. The interpolation engine includes hardware to perform elementary functions on the input variable and the output coefficients to form the output value. The geometry accelerator may use the transcendental function generator to perform lighting calculations, geometry transformations or clipping on the vetex data prior to the rasterization stage.




In preferred embodiments, each lookup table


302


A-


302


C is directed to a different function. For example, the following lookup tables


302


A-


302


C may be used to determine the following functions:




first lookup table


302


A: 1/T


½


(i.e., the inverse square root of the variable T);




second lookup table:


302


B: 2


T


(i.e., 2 raised to the power of the variable T); and




third lookup table


302


C: log


2


T (i.e., the log base 2 of the variable T).




It should be noted that although three functions are provided, other functions adaptable to graphics processing may be utilized in the lookup tables


302


A-


302


C. In some embodiments, the lookup tables


302


A-


302


C are stored in read only memory (“ROM”) on the graphics accelerator. In a preferred embodiment, the lookup tables


302


A-


302


C are stored in memory created gates. The term “lookup table” is utilized herein to describe any data structure for enabling data to be retrieved based upon input data. Accordingly, input data having a value of “1” should produce output coefficients that yield the value of “2” from the interpolation engine


304


when utilized in the second lookup table


302


B. Each of the values calculated in the lookup tables


302


A-


302


C preferably were calculated for a relatively small range of the input variable, thus controlling the size of the tables


302


A-


302


C. In preferred embodiments of the invention, each table


302


A-


302


C has sixty-four entries that each produce three output table values.




As discussed in greater detail below, the interpolation engine


304


receives processing instructions from another portion of the geometry accelerator, and responsively selects the appropriate lookup table


302


A-


302


C via a select input of the multiplexer


306


. Upon receipt of the output table data, the interpolation engine


304


calculates an output value by means of the output table value and the input data. In preferred embodiments, the interpolation engine


304


calculates an output value in accordance with the below quadratic formula:








Y


=AX


2


+BX +C  (Equation 1)






where A, B, and C are coefficients produced by either one of the tables


302


A-


302


C; and X is an input variable that is based upon data relating to the vertex being processed.




In alternative embodiments, the formula implemented by the interpolation engine


304


is a linear equation. In still other embodiments of the invention, the interpolation formula implemented is a cubic formula. Other embodiments include other formulas.





FIG. 4

shows a preferred method utilized by the transcendental function generator


300


shown in

FIG. 3

for producing output data. The process begins at step


400


in which an instruction is received by the interpolation engine


304


relating to a given vertex currently being processed. In preferred embodiments, the instruction is five bits of a wide word having at least 128 bits. Specifically, two bits are used to select the appropriate table, and three additional bits select the input argument from one of eight possible sources, ranging from the processor to a crossbar (not shown) or other bus. Among other things, the vertex may have some lighting data that is processed by the geometry accelerator at step


400


.




The instruction preferably includes at least two lookup table bits that, when read by the interpolation engine


304


, direct it to select one of the three lookup tables


302


A-


302


C. For example, the bit sequence “00” may direct the engine


304


to the first table


302


A, the bit sequence “01” may direct the engine


304


to the second table


302


B, and the bit sequence “10” may direct the engine


304


to the third table


302


C. Accordingly, the process continues to step


402


in which the interpolation engine


304


reads the two lookup table bits to determine which lookup table


302


A-


302


C to access.




The process continues to step


404


in which the coefficients “A”, “B”, and “C” are ascertained from the selected lookup table


302


A-


302


C. Three entries preferably are associated with the input variable entry in each lookup table


302


A-


302


C. Accordingly, in preferred embodiments, the input variable is entered into all of the tables


302


A-


302


C to produce respective sets of output variables “A”, “B”, and “C.” The input variable is associated with the vertex data being processed. The interpolation engine


304


then selects the appropriate lookup table


302


A-


302


C via the select input of the multiplexer


306


, and then retrieves the set of coefficients from the output of such selected lookup table


302


A-


302


C.




The process then continues to step


406


in which both the input variable and retrieved coefficients are utilized in equation 1 (above) by the interpolation engine


304


to calculate an output value.




In some embodiments, the individual tables


302


A-


302


C may be implemented as different address ranges in a common addressable storage device. This effectively eliminates the need for the multiplexer


306


described above. In such case, the bits from the instruction word that select the table are simply incorporated into the table address. In some embodiments that do not utilize the multiplexer


306


, the table access time undesirably may be slower.




Although various exemplary embodiments of the invention have been disclosed, it should be apparent to those skilled in the art that various changes and modifications can be made which will achieve some of the advantages of the invention without departing from the true scope of the invention. These and other obvious modifications are intended to be covered by the appended claims.



Claims
  • 1. A graphics processor for processing vertices of a polygon, the graphics processor comprising:an input for receiving an instruction for processing a given vertex; memory for storing a first lookup table and a second lookup table, each of the first and second lookup tables corresponding to a selected function and containing table output as a function of an input value, the input value corresponding to data relating to the given vertex; and an interpolation engine, responsive to receipt of the instruction from the input, selects one of the lookup tables, determines table output from the one of the lookup tables, and produces an output value based upon the table output and data relating to the given vertex.
  • 2. The graphics processor as defined by claim 1 further including a multiplexer for enabling the interpolation engine to couple to either of the first and second lookup tables.
  • 3. The graphics processor as defined by claim 1 further comprising a plurality of additional lookup tables, the interpolation engine being selectively coupled with any of the first, second or additional lookup tables.
  • 4. The graphics processor as defined by claim 1 wherein the instruction is a wide word.
  • 5. The graphics processor as defined by claim 4 wherein the wide word has at least 128 bits.
  • 6. The graphics processor as defined by claim 5 wherein the wide word has 256 bits.
  • 7. An apparatus for processing computer graphics requests, the apparatus comprising:a graphics request input; a processor, coupled to the graphics request input, having an output, and responsive to instructions, the processor including a transcendental function generator, the generator having: a plurality of lookup tables, each table corresponding to a particular transcendental function and containing interpolation coefficients; an interpolator engine, selectably coupled to one of the plurality of lookup tables.
  • 8. The apparatus as defined by claim 7 further including a multiplexer for enabling the interpolator engine to selectively couple to any one of the plurality of lookup tables.
  • 9. The apparatus as defined by claim 7 wherein each instruction is a wide word.
  • 10. The apparatus as defined by claim 9 wherein each instruction includes up to 256 bits.
  • 11. A graphics processor for processing vertices of a polygon, the graphics processor comprising:an input for receiving an instruction for processing a given vertex; memory for storing a plurality of lookup tables that each correspond to a selected function; an interpolation engine that produces an output value based upon the contents of at least one of the lookup tables and data relating to the given vertex, the different tables being stored in different address ranges of the memory, the instruction having bits that are incorporated into the memory address to enable table selection.
  • 12. A method for processing vertices of a polygon, the method comprising:receiving an instruction for processing a given vertex with a function; selectively connecting to a corresponding lookup table containing coefficient values for the function from a group of lookup tables; selecting coefficient values from the corresponding lookup table based on data representative of the given vertex; and calculating an output in an interpolation engine based on data representative of the given vertex and the coefficient values.
  • 13. The method according to claim 12, wherein the instruction is a wide word.
  • 14. The method according to claim 13, wherein the wide word is at least 128 bits.
  • 15. A method for using a graphics processor to process vertices, the method comprising:receiving data corresponding to a given vertex into an interpolation engine of a graphics processor; receiving an instruction corresponding to the given vertex into an interpolation engine of a graphics processor; accessing at least a first lookup table from a group of lookup tables based on at least part of the instruction; ascertaining at least a first coefficient value from the first lookup table based on data corresponding to the given vertex; and calculating an output value in the interpolation engine based on the data and the first coefficient value.
  • 16. The method according to claim 15, wherein the step of accessing requires connecting the first lookup table with the interpolation engine based on part of the instruction.
  • 17. The method according to claim 16, wherein the step of accessing results from setting a select input of a multiplexer which connects the interpolation engine to the first lookup table from the group of lookup tables.
  • 18. A method for processing computer graphics requests, the method comprising:receiving instructions at a graphics request input that is coupled to a transcendental function generator; selectively accessing, based on one of the instructions, at least one of a group of lookup tables corresponding to a particular transcendental function, each lookup table containing interpolation coefficients; retrieving interpolation coefficients based on vertex data; and calculating a transcendental function based on the vertex data and the interpolation coefficients.
PRIORITY

This application claims priority from U.S. provisional patent application serial number 60/093,185, filed Jul. 17, 1998, entitled “GRAPHICS PROCESSING WITH TRANSCENDENTAL FUNCTION GENERATOR” and bearing attorney docket number 1247/A01, the disclosure of which is incorporated herein, in its entirety, by reference.

US Referenced Citations (44)
Number Name Date Kind
4434437 Strolle et al. Feb 1984
4615013 Yan et al. Sep 1986
4646232 Chang et al. Feb 1987
4908780 Priem et al. Mar 1990
4918626 Watkins et al. Apr 1990
4991122 Sanders Feb 1991
5107415 Sato et al. Apr 1992
5123085 Wells et al. Jun 1992
5224064 Henry et al. Jun 1993
5239654 Ing-Simmons et al. Aug 1993
5287438 Kelleher Feb 1994
5293480 Miller et al. Mar 1994
5313551 Labrousse et al. May 1994
5363475 Baker et al. Nov 1994
5371840 Fischer et al. Dec 1994
5394524 DiNicola et al. Feb 1995
5398328 Weber et al. Mar 1995
5412491 Bachar May 1995
5446479 Thompson et al. Aug 1995
5485559 Sakaibara et al. Jan 1996
5511165 Brady et al. Apr 1996
5519823 Barkans May 1996
5544294 Cho et al. Aug 1996
5555359 Choi et al. Sep 1996
5557734 Wilson Sep 1996
5561749 Schroeder Oct 1996
5572713 Weber et al. Nov 1996
5631693 Wunderlich et al. May 1997
5664114 Krech, Jr. et al. Sep 1997
5666520 Fujita et al. Sep 1997
5684939 Foran et al. Nov 1997
5701365 Harrington et al. Dec 1997
5706481 Hannah et al. Jan 1998
5721812 Mochizuki Feb 1998
5737455 Harrington et al. Apr 1998
5757375 Kawase May 1998
5757385 Narayanaswami et al. May 1998
5764237 Kaneko Jun 1998
5821950 Rentschler et al. Oct 1998
5841444 Mun et al. Nov 1998
5870567 Hausauer et al. Feb 1999
5883641 Krech, Jr. et al. Mar 1999
5914711 Mangerson et al. Jun 1999
5956047 Krech, Jr. et al. Sep 1999
Foreign Referenced Citations (20)
Number Date Country
0 311 798 A2 Apr 1989 EP
0 397 180 A2 Nov 1990 EP
0 438 194 A2 Jul 1991 EP
0 448 286 A2 Sep 1991 EP
0 463 700 A2 Jan 1992 EP
0 566 229 A2 Oct 1993 EP
0 631 252 A2 Dec 1994 EP
0 627 682 A1 Dec 1994 EP
0637813 Feb 1995 EP
0 693 737 A2 Jan 1996 EP
0 734 008 A1 Sep 1996 EP
0 735 463 A2 Oct 1996 EP
0 810 553 A2 Dec 1997 EP
0 817 009 A2 Jan 1998 EP
0 825 550 A2 Feb 1998 EP
0 840 279 A2 May 1998 EP
WO 8607646 Dec 1986 WO
WO 9200570 Jan 1992 WO
WO 9306553 Apr 1993 WO
WO 9721192 Jun 1997 WO
Non-Patent Literature Citations (15)
Entry
Iwashita, et al., “A Fine Grained Data Flow Machine and Its Concurrent Execution Mechanism” NEC Reg. & Develop., No. 93, Apr. 1989, pp. 63-72.
Fujita, et al., “A Dataflow Image Processing System TIP-4”, Proceedings of the 5th International Conference on Image Analysis and Processing, pp. 735-741.
Rathman, et al., “Processing the New World of Interactive Media”, IEEE Signal Processing Magazine 1053-5888/98/510.00 Copyright Mar. 1998, vol. 15, No. 2, XP-002121705, pp. 108-117.
IBM Technical Disclosure Bulletin “Effective Cache Mechanism for Texture Mapping” vol. 39, No. 12, Dec. 1996, XP-002065152, pp. 213, 215 and 217.
“Advanced Raster Graphics Architecture” XP-002118066, pp. 890-893.
IBM Technical Disclosure Bulletin “Data Format Conversion: Intel/Non-Intel”, vol. 33, No. 1A, Jun. 1990, XP-000117784, pp. 420-427.
IBM Technical Disclosure Bulletin “Address Munging Support in a Memory Controller/PCI Host Bridge for the PowerPC 603 CPU Operating in 32-Bit Data Mode” vol. 38, No. 09, Sep. 1995, XP-000540250, pp. 237-240.
Auel, K., “One frame ahead: frame buffer management for animation and real-time graphics”, Presented at Computer Graphics: Online Publications, Pinner, Middlesex, UK, 1988, XP-000749898, pp. 43-50.
Abram, et al., “Efficient Alias-free Rendering using Bit-masks and Look-up Tables”, San Francisco, Jul. 22-26, vol. 19, No. 13, 1985, XP-002115680, pp. 53-59.
Schilling, A., “A New and Efficient Antialiasing with Subpixel Masks” XP-000562430, pp. 133-141.
Ueda, H., et al., “A Multiprocessor System Utilizing Enhanced DSP's For Image Processing”, Central Research Laboratory, Hitachi, Ltd., 1988 IEEE, XP-2028756, pp. 611-620.
Cook, R.L., et al., “The Reyes Image Rendering Architecture”, Computer Graphics, vol. 21, No. 4, Jul. 1987, XP-000561437, pp. 95-102.
Haeberli, P., et al., “The Accumulation Buffer: Hardware Support for High-Quality Rendering”, Computer Graphics, vol. 24, No. 4, Aug. 1990, XP-000604382, pp. 309-318.
Watt, A., et al., “Advanced Animation and Rendering Techniques Theory and Practice”, ACM Press, NY, pp. 127-137.
Carpenter, L., “The A-buffer, an Antialiased Hidden Surface Method”, Computer Graphics, vol. 18, No. 3, Jul. 1984, pp. 13-18.
Provisional Applications (1)
Number Date Country
60/093185 Jul 1998 US