An Evaluation of Vectorizing Compilers

@article{Maleki2011AnEO,
  title={An Evaluation of Vectorizing Compilers},
  author={Saeed Maleki and Yaoqing Gao and Mar{\'i}a Jes{\'u}s Garzar{\'a}n and Tommy Wong and David A. Padua},
  journal={2011 International Conference on Parallel Architectures and Compilation Techniques},
  year={2011},
  pages={372-382}
}
Most of today's processors include vector units that have been designed to speedup single threaded programs. Although vector instructions can deliver high performance, writing vector code in assembly language or using intrinsics in high level languages is a time consuming and error-prone task. The alternative is to automate the process of vectorization by using vectorizing compilers. This paper evaluates how well compilers vectorize a synthetic benchmark consisting of 151 loops, two application… CONTINUE READING
Highly Cited
This paper has 111 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 74 extracted citations

Exploiting Asymmetric SIMD Register Configurations in ARM-to-x86 Dynamic Binary Translation

2017 26th International Conference on Parallel Architectures and Compilation Techniques (PACT) • 2017
View 7 Excerpts
Highly Influenced

Automatic vectorization of tree traversals

Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques • 2013
View 5 Excerpts
Highly Influenced

A Framework for the Automatic Vectorization of Parallel Sort on x86-Based Processors

IEEE Transactions on Parallel and Distributed Systems • 2018
View 2 Excerpts

111 Citations

02040'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 111 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 14 references

A comparative study of automatic vectorizing compilers

D. L. David, D. Callahan, J. Dongarra
Parallel Computing, 17:1223–1244, • 1991
View 11 Excerpts
Highly Influenced

Implicit Data Permutation for SIMD Devices

2009 Fourth International Conference on Embedded and Multimedia Computing • 2009
View 1 Excerpt

An empirical study on the vectorization of multimedia applications for multimedia extensions

19th IEEE International Parallel and Distributed Processing Symposium • 2005
View 1 Excerpt

Similar Papers

Loading similar papers…