Directive-Based Compilers for GPUs-Reference-Cited by-同舟云学术

Directive-Based Compilers for GPUs

Published:2015 Issue: Volume: Page:19-35
ISSN:0302-9743
Container-title:Languages and Compilers for Parallel Computing
language:
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Author:

Ghike Swapnil,Gran Rubén,Garzarán María J.,Padua David

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-17473-0_2

Reference32 articles.

1. Lecture Notes in Computer Science;M Amini,2013

2. Bordawekar, R., Bondhugula, U., Rao, R.: Can CPUs match GPUs on performance with productivity?: Experiences with optimizing a flop-intensive application on CPUs and GPU. Technical report RC25033, IBM, August 2010

3. Boyer, M., Tarjan, D., Acton, S.T., Skadron, K.: Accelerating leukocyte tracking using cuda: a case study in leveraging manycore coprocessors. In: Proceedings of IPDPS, pp. 1–12 (2009)

4. CAPS Enterprise: HMPP workbench (2011). http://www.caps-entreprise.com/technology/hmpp/

5. CAPS Enterprise and Cray Inc. and NVIDIA and the Portland Group: The openacc application programming interface, v1.0, November 2011. http://www.openacc-standard.org/

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