Fluidic Kernels-Reference-Cited by-同舟云学术

Fluidic Kernels

Published:2014-02-15 Issue: Volume: Page:
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Container-title:Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization
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Author:

Pandit Prasanna¹,Govindarajan R.¹

Affiliation:

1. Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India

Publisher

ACM

Reference27 articles.

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2. M. E. Belviranli L. N. Bhuyan and R. Gupta. A dynamic self-scheduling scheme for heterogeneous multiprocessor architectures. ACM Trans. Archit. Code Optim. 9(4):57:1--57:20 Jan. 2013. 10.1145/2400682.2400716

3. J. Bueno J. Planas A. Duran R. Badia X. Martorell E. Ayguade and J. Labarta. Productive programming of gpu clusters with ompss. In Parallel Distributed Processing Symposium (IPDPS) 2012 IEEE 26th International pages 557--568 2012. 10.1109/IPDPS.2012.58

4. J. V. Ferreira Lima T. Gautier N. Maillard and V. Danjean. Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs. In 24rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) pages 75--82 Columbia University New York États-Unis Oct. 2012. 10.1109/SBAC-PAD.2012.28

5. S. Grauer-Gray L. Xu R. Searles S. Ayalasomayajula and J. Cavazos. Auto-tuning a high-level language targeted to gpu codes. In Innovative Parallel Computing (InPar) 2012 pages 1--10 2012.

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