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        <identifier>oai:www.ideals.illinois.edu:2142/44383</identifier>
        <datestamp>2023-07-11</datestamp>
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          <dc:subject>CUDA</dc:subject>
          <dc:subject>C++AMP</dc:subject>
          <dc:title>Performance portability of parallel kernels on shared-memory systems</dc:title>
          <dc:type>text</dc:type>
          <dc:contributor>Hwu, Wen-Mei W.</dc:contributor>
          <dc:contributor>Hwu, Wen-Mei W.</dc:contributor>
          <dc:contributor>Chen, Deming</dc:contributor>
          <dc:contributor>Lumetta, Steven S.</dc:contributor>
          <dc:contributor>Padua, David A.</dc:contributor>
          <dc:creator>Stratton, John</dc:creator>
          <dc:date>2013-05-24T22:09:48Z</dc:date>
          <dc:date>2013-05-24T22:09:48Z</dc:date>
          <dc:date>2013-05</dc:date>
          <dc:date>2013-05-24T22:09:48Z</dc:date>
          <dc:date>2013-05</dc:date>
          <dc:description>This work describes my solution to the performance portability problem: between CPUs and GPUs in particular, but laying the foundation for even broader performance portability support. I argue that the best approach is to use a language like OpenCL as a 
portable, low-level programming model with well-defined mechanisms for 
expressing multi-level parallelism and locality.
That low-level program representation can be supported with 
architecture-specific compilers, runtimes, and libraries to target the 
application code to various platforms with high performance.
High-level language designers or tool developers could then target this 
single, low-level programming and parallelism model as a portable, 
high-performance intermediate program representation.
To demonstrate the feasibility of this approach, I show how one would 
design a good CPU implementation of OpenCL given that the programs are 
written according to the current high-level GPU vendor optimization 
guidelines.
Programs written in such a way already meet the criteria of good GPU 
performance, and in this work, I show that those same programs on 
a CPU platform implemented according to my proposals can 
out-perform an OpenMP implementation of the same algorithm on the 
same system.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-01-07T20:51:17Z
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University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:identifier>http://hdl.handle.net/2142/44383</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2013 John Stratton</dc:rights>
          <dc:subject>Performance Portability</dc:subject>
          <dc:subject>OpenCL</dc:subject>
          <degree>
            <department>Electrical &amp; Computer Eng</department>
            <departmentCode>1933</departmentCode>
            <discipline>Electrical &amp; Computer Engr</discipline>
            <disciplineCode>1200</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
            <program>PHD:Electr &amp; Computer Eng-UIUC</program>
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