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2015-viennacl-openmp [2015/03/09 13:04]
viennastar
2015-viennacl-openmp [2015/03/10 09:06]
viennastar Note on puzzles to be announced shortly
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 === Description === === Description ===
-ViennaCL has three computing backends: One based on CUDA, one based on OpenCL, and one based on OpenMP. While the CUDA and OpenCL backends provide high performance,​ this is not yet the case with the OpenMP backend. Although the OpenMP-backend was initially introduced as a fall-back mechanism for CPU-only systems, it is now mature enough to be tuned for high performance. The student will tune the individual linear algebra kernels (vector operations, matrix-vector products, etc.) for best performance.+Our free open source linear algebra library [[http://​viennacl.sourceforge.net|ViennaCL]] has three computing backends: One based on [[http://​www.nvidia.com/​object/​cuda_home_new.html|CUDA]], one based on [[https://​www.khronos.org/​opencl/​|OpenCL]], and one based on [[http://​openmp.org/​|OpenMP]]. While the CUDA and OpenCL backends provide high performance,​ this is not yet the case with the OpenMP backend. Although the OpenMP-backend was initially introduced as a fall-back mechanism for CPU-only systems, it is now mature enough to be tuned for high performance. The student will tune the individual linear algebra kernels (vector operations, matrix-vector products, etc.) for best performance.
  
 === Benefit for the Student === === Benefit for the Student ===
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 Moderate C or C++ skills are required. Experience in using OpenMP is a plus. Moderate C or C++ skills are required. Experience in using OpenMP is a plus.
  
-=== Mentors ​=== +=== Primary Mentor ​=== 
-Karl Rupp, Josef Weinbub+Karl Rupp
  
 +=== Puzzles ===
  
 +Will be announced shortly.
  
2015-viennacl-openmp.txt · Last modified: 2015/03/24 20:40 by viennastar