<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/CINECAstyle.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T05:16:31Z</responseDate><request verb="GetRecord" identifier="oai:iris.unica.it:11584/266876" metadataPrefix="oai_dc">https://iris.unica.it/oai/request</request><GetRecord><record><header><identifier>oai:iris.unica.it:11584/266876</identifier><datestamp>2022-10-20T08:54:34Z</datestamp><setSpec>com_11584_207615</setSpec><setSpec>com_11584_111066</setSpec><setSpec>col_11584_265854</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>Distributed processing of large triangle meshes</dc:title>
<dc:creator>CABIDDU, DANIELA</dc:creator>
<dc:subject>calcolo distribuito</dc:subject>
<dc:subject>distributed processing</dc:subject>
<dc:subject>large 3D models</dc:subject>
<dc:subject>modelli di grandi dimensioni</dc:subject>
<dc:subject>out-of-core</dc:subject>
<dc:subject>parallelism</dc:subject>
<dc:subject>parallelismo</dc:subject>
<dc:subject>sata transfer</dc:subject>
<dc:subject>trasferimento dati</dc:subject>
<dc:subject>Settore INF/01 - Informatica</dc:subject>
<dc:description>Thanks to modern high-resolution acquisition techniques, 3D digital representations&#xd;
of real objects are easily made of millions, or even billions, of&#xd;
elements. Processing and analysing such large datasets is often a non trivial&#xd;
task, due to specific software and hardware requirements.&#xd;
Our system allows to process large triangle meshes by exploiting nothing&#xd;
more than a standard Web browser. A graphical interface allows to select&#xd;
among available algorithms and to stack them into complex pipelines, while&#xd;
a central engine manages the overall execution by exploiting both hardware&#xd;
and software provided by a distributed network of servers.&#xd;
As an additional feature, our system allows to store work&#xd;
ows and to make&#xd;
them publicly available. A semantic-driven search mechanism is provided&#xd;
to allow the retrieval of specific work&#xd;
ows.&#xd;
Besides the technological contribution, an innovative mesh transfer protocol&#xd;
avoids possible bottlenecks during the transmission of data across scattered&#xd;
servers. Also, distributed parallel processing is enabled thanks to an innovative&#xd;
divide and conquer approach. A simplification algorithm based on this&#xd;
paradigm proves that the overhead due to data transmission is negligible.</dc:description>
<dc:date>2016-03-07</dc:date>
<dc:type>info:eu-repo/semantics/doctoralThesis</dc:type>
<dc:identifier>http://hdl.handle.net/11584/266876</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>numberofpages:145</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Università degli Studi di Cagliari</dc:publisher>
<dc:rights>license:Non specificato</dc:rights>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>