<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.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>2026-04-17T05:43:27Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/394014" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/394014</identifier><datestamp>2025-07-23T01:00:33Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452951</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Parallel game programming</dc:title>
   <dc:creator>Bach Balcells, Jordi</dc:creator>
   <dc:subject>Àrees temàtiques de la UPC::So, imatge i multimèdia::Creació multimèdia::Disseny de videojocs</dc:subject>
   <dc:subject>Video games--Design</dc:subject>
   <dc:subject>Computer games--Programming</dc:subject>
   <dc:subject>Parallelism</dc:subject>
   <dc:subject>Optimization</dc:subject>
   <dc:subject>Synchronization</dc:subject>
   <dc:subject>GPU</dc:subject>
   <dc:subject>Videojocs--Disseny</dc:subject>
   <dc:subject>Jocs per ordinador--Programació</dc:subject>
   <dcterms:abstract>On this TFG I wanted to find out if parallel programing is and will be used to develop&#xd;
and optimize games. We have this impression because of the fact that nowadays&#xd;
processors improve its power not raising the processing speed but raising the&#xd;
processing units. At the end of the TFG through the development of a windows&#xd;
platform layer we found out that modern low-level APIs give a lot of options to use&#xd;
parallel programming in the form of multithreading of rendering tasks, using SIMD&#xd;
instructions and having the compute pipeline to perform GPUGP tasks. We also found&#xd;
out why the GPU outperforms the CPU at parallel algorithm processing and how we&#xd;
can optimize GPU work focusing mainly on coalesced memory access and memory&#xd;
throughput but also measuring the occupancy and concurrency.</dcterms:abstract>
   <dcterms:issued>2022-10-10</dcterms:issued>
   <dc:type>Bachelor thesis</dc:type>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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