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OpenCL Evaluation for Numerical Linear Algebra Library Development

Peng Du, Piotr Luszczek, Jack Dongarra
University of Tennessee Innovative Computing Laboratory
Symposium on Application Accelerators in High Performance Computing, 2010

@article{du2010opencl,

   title={OpenCL Evaluation for Numerical Linear Algebra Library Development},

   author={Du, P. and Luszczek, P. and Dongarra, J.},

   booktitle={Application Accelerators in High Performance Computing, 2010 Symposium, Papers},

   year={2010}

}

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With the help of of CUDA [7], [6], many applications improved their performance by using GPUs. In our project called Matrix Algebra on GPU and Multicore Architectures (MAGMA) [10], we mainly focus on dense linear algebra routines similar to those from LAPACK [1]. Other than CUDA, there exist other frameworks that allow platformindependent programming for GPUs.
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