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| Title | Optimization and Performance Evaluation of the IDR Iterative Krylov Solver on GPUs |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Anzt, H., M. Kreutzer, E. Ponce, G. D. Peterson, G. Wellein, and J. Dongarra |
| Journal | The International Journal of High Performance Computing Applications |
| Volume | 32 |
| Number | 2 |
| Pagination | 220–230 |
| Date Published | 2018-03 |
| Keywords | co-design, gpu, Induced dimension reduction (IDR), kernel fusion, kernel overlap, roofline performance model |
| Abstract | In this paper, we present an optimized GPU implementation for the induced dimension reduction algorithm. We improve data locality, combine it with an efficient sparse matrix vector kernel, and investigate the potential of overlapping computation with communication as well as the possibility of concurrent kernel execution. A comprehensive performance evaluation is conducted using a suitable performance model. The analysis reveals efficiency of up to 90%, which indicates that the implementation achieves performance close to the theoretically attainable bound. |
| DOI | 10.1177/1094342016646844 |
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