Active pixel merging on hypercube multicomputers
buir.contributor.author | Aykanat, Cevdet | |
dc.citation.epage | 326 | en_US |
dc.citation.spage | 319 | en_US |
dc.citation.volumeNumber | 1067 | en_US |
dc.contributor.author | Kurç, Tahsin M. | en_US |
dc.contributor.author | Aykanat, Cevdet | en_US |
dc.contributor.author | Özgüç, Bülent | en_US |
dc.coverage.spatial | Brussels, Belgium | en_US |
dc.date.accessioned | 2016-02-08T12:00:41Z | |
dc.date.available | 2016-02-08T12:00:41Z | en_US |
dc.date.issued | 1996 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Date of Conference: 15–19 April 1996 | en_US |
dc.description | Conference name: HPCN-Europe: International Conference on High-Performance Computing and Networking International Conference and Exhibition HPCN EUROPE | en_US |
dc.description.abstract | This paper presents algorithms developed for pixel merging phase of object-space parallel polygon rendering on hypercube-connected multicomputers. These algorithms reduce volume of communication in pixel merging phase by only exchanging local foremost pixels. In order to avoid message fragmentation, local foremost pixels should be stored in consecutive memory locations. An algorithm, called modified seanline z-buffer, is proposed to store local foremost pixels efficiently. This algorithm also avoids the initialization of scanline z-buffer for each scanline on the screen. Good processor utilization is achieved by subdividing the image-space among the processors in pixel merging phase. Efficient algorithms for load balancing in the pixel merging phase are also proposed and presented. Experimental results obtained on a 16-processor Intel's iPSC/2 hypercube multicomputer are presented. © Springer-Verlag Berlin Heidelberg 1996. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:00:41Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1996 | en_US |
dc.identifier.doi | 10.1007/3-540-61142-8_565 | en_US |
dc.identifier.doi | 10.1007/3-540-61142-8 | en_US |
dc.identifier.eissn | 1611-3349 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/27743 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Springer, Berlin, Heidelberg | en_US |
dc.relation.isversionof | https://doi.org/10.1007/3-540-61142-8_565 | en_US |
dc.relation.isversionof | https://doi.org/10.1007/3-540-61142-8 | en_US |
dc.source.title | High-Performance Computing and Networking | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Geometry | en_US |
dc.subject | Merging | en_US |
dc.subject | Network Management | en_US |
dc.subject | Active Pixel | en_US |
dc.subject | Hypercube | en_US |
dc.subject | Image Space | en_US |
dc.subject | Memory Locations | en_US |
dc.subject | Multicomputers | en_US |
dc.subject | Object Space | en_US |
dc.subject | Processor Utilization | en_US |
dc.subject | Z-Buffer | en_US |
dc.subject | Pixels | en_US |
dc.title | Active pixel merging on hypercube multicomputers | en_US |
dc.type | Conference Paper | en_US |
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