Open Access
Issue
MATEC Web Conf.
Volume 228, 2018
2018 3rd International Conference on Circuits and Systems (CAS 2018)
Article Number 03008
Number of page(s) 5
Section Circuits, Control and Mechatronic Engineering
DOI https://doi.org/10.1051/matecconf/201822803008
Published online 14 November 2018
  1. Vladimir N. Makarov, Fighting register pressure in GCC, Proceedings of the GCC Developers’Summit, 2004, pp.85-104, form https://gcc.gnu.org/wiki/. [Google Scholar]
  2. Guohui Li, Yonghua Hu, Yaqiong Qiu, Wenti Huang, Investigation on the Optimization for Storage Space in Register-Spilling. CollaborateCom, 2016, pp.627-633, Berlin Heidelberg, Germany: Springer-Verlag. [Google Scholar]
  3. Josep Llosa, Eduard Ayguadé, Antonio González, Mateo Valero, Jason Eckhardt, Lifetime-Sensitive Modulo Scheduling in a Production Environment, IEEE Transactions on Computers, 50 (3): 234-249, 2001. [CrossRef] [Google Scholar]
  4. Andrei Homescu, Steven Neisius, Per Larsen, Stefan Brunthaler, Michael Franz, Profile-guided automated software diversity, Code Generation and Optimization, 2013, Piscataway, NJ: IEEE Press. [Google Scholar]
  5. Mark Murphy, Per Larsen, Stefan Brunthaler, Michael Franz, Software Profiling Options and Their Effects on Security Based Diversification, Proceedings of the First ACM Workshop on Moving Target Defense, pp.87-96, New York, NY: ACM Press, 2014. [Google Scholar]
  6. Vasilis Pappas, Michalis Polychronakis, Angelos D. Keromytis, Smashing the Gadgets: Hindering Return-Oriented Programming Using In-place Code Randomization. IEEE Symposium on Security and Privacy, pp.601-615, Piscataway, NJ: IEEE Press, 2012. [Google Scholar]
  7. Petersen, W.P., Arbenz, P., Introduction to Parallel Computing. Oxford, England: Oxford University Press, 2004. [Google Scholar]
  8. Gupta R., Bodík R., Register Pressure Sensitive Redundancy Elimination. In: Jähnichen S. (eds) Compiler Construction. CC 1999. Lecture Notes in Computer Science, vol.1575, pp.107-121, Berlin Heidelberg, Germany: Springer-Verlag, 1999. [Google Scholar]
  9. Min Zhao, Bruce R. Childers, Mary Lou Soffa, Model-Based Framework: An Approach for Profit-Driven Optimization, Code Generation and Optimization, 2005, pp.317-327, Piscataway, NJ: IEEE Press. [CrossRef] [Google Scholar]
  10. Zhao P., Amaral J.N., To Inline or Not to Inline? Enhanced Inlining Decisions. In: Rauchwerger L. (eds), Languages and Compilers for Parallel Computing. LCPC, 2003, vol.2958, Lecture Notes in Computer Science, pp.405-419, Berlin Heidelberg, Germany: Springer-Verlag, 2004. [CrossRef] [Google Scholar]
  11. Dhruva R. Chakrabarti, Shin-Ming Liu, Inline Analysis: Beyond Selection Heuristics, Code Generation and Optimization, 2006, pp.221-232, Piscataway, NJ: IEEE Press. [CrossRef] [Google Scholar]
  12. Preston Briggs, Keith D. Cooper, Linda Torczon , Rematerialization. Proceedings of the ACM SIGPLAN 1992 conference on Programming language design and implementation, volume 27 (7), pp.311-321, New York, NY: ACM Press, 1992. [CrossRef] [Google Scholar]
  13. Ivan D. Baev, Richard E. Hank, David H. Gross, Prematerialization: reducing register pressure for free, Proceedings of the 15th international conference on Parallel architectures and compilation techniques, pp.285-294, New York, NY: ACM Press, 2006. [CrossRef] [Google Scholar]
  14. Ivan D. Baev, Techniques for Region-Based Register Allocation, Code Generation and Optimization, 2009 pp.147-156, Piscataway, NJ: IEEE Press. [Google Scholar]
  15. Rami Beidas, Wai Sum Mong, Jianwen Zhu, Register pressure aware scheduling for high level synthesis. Design Automation Conference, 2011 pp.461-466, Piscataway, NJ: IEEE Press. [Google Scholar]
  16. A. Aho, M. Lam, R. Sethi and J. Ullman, Compilers: Principles, Techniques and Tools (2nd edition), Boston, Mass: Addison-Wesley Pub. Co, 2007. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.