Abstract
Polygon scan conversion is an important operation in rasterization process for computer graphics application. In this paper, we present parallel algorithm for converting polygon from its object space representation into its image space representation by using hypercube multiprocessors. The total number of SIMD hypercube processor is N × N. Each processor element corresponding to a picture element in the image plane. Our algorithm takes O(log2 N) time and O(1) space for general shape polygons. For convex polygon, an algorithm with O(logN) time and O(1) space was developed which is asymptotically optimal for hypercube computers.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ACM Symposium on Applied Computing |
| Publisher | Association for Computing Machinery |
| Pages | 110-114 |
| Number of pages | 5 |
| ISBN (Print) | 1581130864 |
| State | Published - 1 Jan 1999 |
| Event | Proceedings of the 1999 14th ACM Symposium on Applied Computing, SAC-99 - San Antonio, TX, USA Duration: 28 Feb 1999 → 2 Mar 1999 |
Other
| Other | Proceedings of the 1999 14th ACM Symposium on Applied Computing, SAC-99 |
|---|---|
| City | San Antonio, TX, USA |
| Period | 28/02/99 → 2/03/99 |
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Parallel polygon scan conversion on hypercube multiprocessors. / Jenq, John.
Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery, 1999. p. 110-114.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
TY - GEN
T1 - Parallel polygon scan conversion on hypercube multiprocessors
AU - Jenq, John
PY - 1999/1/1
Y1 - 1999/1/1
N2 - Polygon scan conversion is an important operation in rasterization process for computer graphics application. In this paper, we present parallel algorithm for converting polygon from its object space representation into its image space representation by using hypercube multiprocessors. The total number of SIMD hypercube processor is N × N. Each processor element corresponding to a picture element in the image plane. Our algorithm takes O(log2 N) time and O(1) space for general shape polygons. For convex polygon, an algorithm with O(logN) time and O(1) space was developed which is asymptotically optimal for hypercube computers.
AB - Polygon scan conversion is an important operation in rasterization process for computer graphics application. In this paper, we present parallel algorithm for converting polygon from its object space representation into its image space representation by using hypercube multiprocessors. The total number of SIMD hypercube processor is N × N. Each processor element corresponding to a picture element in the image plane. Our algorithm takes O(log2 N) time and O(1) space for general shape polygons. For convex polygon, an algorithm with O(logN) time and O(1) space was developed which is asymptotically optimal for hypercube computers.
UR - http://www.scopus.com/inward/record.url?scp=0032667511&partnerID=8YFLogxK
M3 - Conference contribution
SN - 1581130864
SP - 110
EP - 114
BT - Proceedings of the ACM Symposium on Applied Computing
PB - Association for Computing Machinery
ER -