Dynamic Compiler Optimization Techniques For Matlab
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Dynamic Compiler Optimization Techniques for MATLAB
The second approach specializes calls of functions with feval using a combination of runtime input argument types and values. Experimental results on seven numerical solvers show that the techniques provide good performance improvements.The implementation of all the analyses and code transformations presented in this thesis has been done within the McLab virtual machine, McVM, and is available to the public as open source software." --
Compiler Optimization Techniques for Scalable Parallel System
Author: K.RAJESHKUMAR
language: en
Publisher: SK Research Group of Companies
Release Date: 2024-01-02
K.RAJESHKUMAR, Assistant Professor, Department of Computer Science, Arignar Anna Government Arts College, Namakkal, Tamil Nadu, India. Dr.A.ARUL MARY, Assistant Professor, Department of Computer Science, Government arts and Science College for Women, Koothanallur, Thiruvarur, Tamil Nadu, India. S.NANDHINIESWARI, Assistant professor, Department of Computer Applications, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu, India. Dr.S.MAGESH KUMAR, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, India. Dr.C.GOVINDASAMY, Associate Professor, Department of Computer Science & Engineering, Saveetha School of Engineering - SIMATS, Chennai, Tamil Nadu, India.
Compiler Construction
This book constitutes the refereed proceedings of the 19th International Conference on Compiler Construction, CC 2010, held in Paphos, Cyprus, in March 2010, as part of ETAPS 2010, the Joint European Conferences on Theory and Practice of Software. Following a thorough review process, 16 research papers were selected from 56 submissions. Topics covered include optimization techniques, program transformations, program analysis, register allocation, and high-performance systems.