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  <responseDate>2026-06-26T22:49:31Z</responseDate>
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      <header>
        <identifier>oai:meral.edu.mm:recid/00009370</identifier>
        <datestamp>2024-03-18T05:28:18Z</datestamp>
        <setSpec>1582963390870:1582967358914</setSpec>
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        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Performance of Ray Tracing on Graphical Processing Unit</dc:title>
          <dc:creator>Wint Pa Pa Kyaw</dc:creator>
          <dc:creator>Soe Mya Mya Aye</dc:creator>
          <dc:description>Ray tracing in computer graphic is a technique for generating an image by tracing the path of 
light through pixels in an image plane and simulating the effects of its encounters with virtual objects.  This paper presents image generation using ray-trace method by Graphical Processing 
Unit (GPU). Modern GPUs have enormous amounts of arithmetic processing power. If better graphic card is used, this method can be employed to generate real-time animation.  This paper presents that the required memory bandwidth is reduced using constant memory rather than 
global memory. GPUs for parallel programming have emerged as a low-cost. Since modern graphics processors have high memory bandwidth as well as great computational power, running ray tracing on them achieves the speed. In this paper, ray tracing is demonstrated with implementation of high performance Compute Unified Device Architecture (CUDA). The implementation achieves the performance of traced rays in constant memory rather than global memory.</dc:description>
          <dc:date>2022-12-31</dc:date>
          <dc:identifier>https://meral.edu.mm/records/9370</dc:identifier>
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