Abstract
SIMD vectorization has received important attention within the last few years as a vital technique to accelerate multimedia, scientific applications and embedded applications on SIMD architectures. SIMD has extensive applications; though the majority and focus has been on multimedia. As a result of it is an area of computing that desires the maximum amount of computing power as possible, and in most of the cases, it is necessary to compute plenty of data at one go. This makes it an honest candidate for parallelization. There are many compiler frameworks which allow vectorization such as Intel ICC, GNU GCC and LLVM etc. In this paper, we will discuss about GNU GCC and LLVM compilers, optimization methods, vectorization methods and evaluate the impact of various vectorization methods supported by these compilers and at last note we will discuss about the methods to enhance the vectorization process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Xu, J., Shaozhong, G., Lei, W.: Optimization Technology in SIMD Mathematical Functions Based on Vector Register Reuse. In: 2012 IEEE 14th International Conference on High Performance Computing and Communications, pp. 1102–1107 (2012)
Peter, K., Yu, H., Li, Z., Tian, X.: Performance Study of SIMD Programming Models on Intel Multicore Processors. In: 2012 IEEE 26th International Symposium Workshops & PhD Forum on Parallel and Distributed Processing, pp. 2423–2432 (2012)
Lee, C.-Y., Chang, J.-C., Chang, R.-G.: Compiler Optimization to Reduce Cache Power with Victim Cache. In: 2012 IEEE 9th International Conference on Ubiquitous Intelligence & Computing and 2012 9th International Conference on Autonomic & Trusted Computing, pp. 841–844 (2012)
Stefan, H., Schoeberl, M.: Worst-Case Execution Time Based Optimization of Real-Time Java Programs. In: 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, pp. 64–70 (2012)
Desai, N.P.: A Novel Technique for Orchestration of Compiler Optimization Functions Using Branch and Bound Strategy. In: 2009 IEEE International Conference on Advance Computing, pp. 467–472 (2009)
Tian, X., Saito, H., Girkar, M., Preis, S.V., Kozhukhov, S.S., Cherkasov, A.G., Nelson, C., Panchenko, N., Geva, R.: Compiling C/C++ SIMD Extensions for Function and Loop Vectorizaion on Multicore-SIMD Processors. In: 2012 IEEE 26th International Symposium Workshops & PhD Forum on Parallel and Distributed Processing, pp. 2349–2358 (2012)
Aho, A.V., Ullman, J.D.: Principles of Compiler Design (Addison-Wesley series in computer science and information processing). Addison-Wesley Longman Publishing Co., Inc. (1977)
Lattner, C.A.: LLVM: An infrastructure for multi-stage optimization. PhD dissertation. University of Illinois (2002)
GCC optimization options, http://gcc.gnu.org/onlinedocs/gcc/Optimize-Options.html
LLVM optimization and passes options, http://llvm.org/docs/Passes.html
Amit, B., Joshi, B.K.: A parallel lexical analyzer for multi-core machines. In: 2012 IEEE Sixth International Conference on Software Engineering, pp. 1–3 (2012)
Qawasmeh, A., Chapman, B., Banerjee, A.: A Compiler-Based Tool for Array Analysis in HPC Applications. In: IEEE 41st International Conference Parallel Processing Workshops, pp. 454–463 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Ojha, D.K., Sikka, G. (2014). A Study on Vectorization Methods for Multicore SIMD Architecture Provided by Compilers. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I. Advances in Intelligent Systems and Computing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-03107-1_79
Download citation
DOI: https://doi.org/10.1007/978-3-319-03107-1_79
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03106-4
Online ISBN: 978-3-319-03107-1
eBook Packages: EngineeringEngineering (R0)