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1. cal.berkeley.edu › dsheffie@cal public profile - David Sheffield

   cal.berkeley.edu › dsheffie

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   David Sheffield . UC Berkeley Degrees. Electrical Engr & Comp Sci: Grad Level PhD 2013. Other Education Contact Information. Career.

2. parlab.eecs.berkeley.edu › sites › allDavid Sheffield, Michael Anderson, Kurt Keutzer

   parlab.eecs.berkeley.edu › sites › all

   David Sheffield, Michael Anderson, Kurt Keutzer • We suspect that the problems commonly solved using computers can be classified as a small number of distinct computations • e.g. matrix multiply, sorting, convolution, etc. • We are interested in finding the distinguishing characteristics of these computations

3. www.researchgate.net › David-Sheffield-2045800212David Sheffield's research works | University of California ...

   www.researchgate.net › David-Sheffield-2045800212

   David Sheffield's 8 research works with 91 citations and 1,700 reads, including: Communication-Minimizing 2D Convolution in GPU Registers

4. dblp.org › pid › 77dblp: David Sheffield

   dblp.org › pid › 77

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   David Sheffield: Three Fingered Jack: Productively Addressing Platform Diversity. University of California, Berkeley, USA, 2013

5. aspire.eecs.berkeley.edu › publicationPublications | ASPIRE - University of California, Berkeley

   aspire.eecs.berkeley.edu › publication

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   UC Berkeley Tech Report UCB/EECS-2013-175, Oct. 2013. ... Forrest Iandola, David Sheffield, Michael Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

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7. bebop.cs.berkeley.edu › bootcamp2014 › omp-exercisesExercises to support learning OpenMP

   bebop.cs.berkeley.edu › bootcamp2014 › omp-exercises

   Start “new project”. Select win 32 console project. Set name and path. On the next panel, Click “next” instead of finish so you can select an empty project on the following panel. Drag and drop your source file into the source folder on the visual studio solution explorer. Activate OpenMP.

8. inst.eecs.berkeley.edu › ~cs194-15 › fa12CS194s15: Engineering Parallel Software

   inst.eecs.berkeley.edu › ~cs194-15 › fa12

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   Aug 24, 2012 · CS194s15: Engineering Parallel Software. Engineering Parallel Software, Fall 2012. Course Goals: Parallelism is the future. This course will enable students to design, implement, optimize, and verify programs to run on parallel processors.