Citation
John Stratton, Wen-mei Hwu. "Portable Parallel Programming with MCUDA". Poster, GSRC Annual Symposium 2008, 29, September, 2008.

Abstract
For programmers targeting modern parallel architectures and accelerators, it is risky to limit an application to a specific vendor or architecture, and costly to write for multiple platforms. We introduce MCUDA, the anchor of a tool chain which translates a program in a data-parallel programming model to execute efficiently on a wide variety of modern architectures. MCUDA generates source code for multiple granularities of instruction- and thread-level parallelism targeted for specific architectures, achieving portable and scalable parallel performance.

Electronic downloads

• Stratton_GSRC_Poster_Sep2008_letter.pdf · application/pdf · 233 kbytes
• Stratton_GSRC_Poster_Sep2008_letter.jpg · image/jpeg · 11 kbytes

Citation formats

• HTML

  John Stratton, Wen-mei Hwu. <a
  href="http://www.gigascale.org/pubs/1417.html"><i>Portable
  Parallel Programming with MCUDA</i></a>, Poster,
   GSRC Annual Symposium 2008, 29, September, 2008.

• Plain text

  John Stratton, Wen-mei Hwu. "Portable Parallel Programming
  with MCUDA". Poster,  GSRC Annual Symposium 2008, 29,
  September, 2008.

• BibTeX

  @poster{StrattonHwu08_PortableParallelProgrammingWithMCUDA,
      author = {John Stratton and Wen-mei Hwu},
      title = {Portable Parallel Programming with MCUDA},
      day = {29},
      month = {September},
      year = {2008},
      abstract = {For programmers targeting modern parallel
                architectures and accelerators, it is risky to
                limit an application to a specific vendor or
                architecture, and costly to write for multiple
                platforms. We introduce MCUDA, the anchor of a
                tool chain which translates a program in a
                data-parallel programming model to execute
                efficiently on a wide variety of modern
                architectures. MCUDA generates source code for
                multiple granularities of instruction- and
                thread-level parallelism targeted for specific
                architectures, achieving portable and scalable
                parallel performance.},
      URL = {http://www.gigascale.org/pubs/1417.html}
  }
  

Posted by John Stratton on 19 Sep 2008..

Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.