Relevant bibliographies by topics / Matlab Compiler

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Matlab Compiler'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Matlab Compiler"

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Chauveau, Stéphane, and François Bodin. "Menhir: An Environment for High Performance Matlab." Scientific Programming 7, no. 3-4 (1999): 303–12. http://dx.doi.org/10.1155/1999/525690.

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In this paper we present Menhir a compiler for generating sequential or parallel code from the Matlab language. The compiler has been designed in the context of using Matlab as a specification language. One of the major features of Menhir is its retargetability to generate parallel and sequential C or Fortran code. We present the compilation process and the target system description for Menhir. Preliminary performances are given and compared with MCC, the MathWorks Matlab compiler.
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Zhang, Yin Juan. "Research and Application of Self-Tuning Control System Platform." Advanced Materials Research 774-776 (September 2013): 1473–76. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1473.

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Studying the network communication between virtual instrument and MATLAB software, the multi-step lag self-tuning control system platform is established in LabVIEW compiler environment. The man-machine interface of self-tuning control system platform is built in LabVIEW, and the control strategy and algorithm is compiled in MATLAB software. Using the MATLAB-SCRIPT, the communication is established between LabVIEW software and MATLAB to data exchange. The experiment result of self-tuning control system platform show that the system has advantages of flexibility and reliability, which enhance th
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Coïsson, R., and G. Allodi. "Matlab Compiler and C Math Library Simplify Programming Chores." Computers in Physics 11, no. 1 (1997): 89. http://dx.doi.org/10.1063/1.4822521.

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Bispo, João, and João M. P. Cardoso. "A MATLAB subset to C compiler targeting embedded systems." Software: Practice and Experience 47, no. 2 (2016): 249–72. http://dx.doi.org/10.1002/spe.2408.

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Renes, W. A., M. Vanbegin, P. Van Dooren, and J. W. J. J. Beckers. "The MATLAB Gateway Compiler. A Tool For Automatic Linking of Fortran Routines to MATLAB." IFAC Proceedings Volumes 24, no. 4 (1991): 95–100. http://dx.doi.org/10.1016/s1474-6670(17)54253-6.

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Latifis, Ioannis, Karthick Parashar, Grigoris Dimitroulakos, et al. "A MATLAB Vectorizing Compiler Targeting Application-Specific Instruction Set Processors." ACM Transactions on Design Automation of Electronic Systems 22, no. 2 (2017): 1–28. http://dx.doi.org/10.1145/2996182.

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Banerjee, P., M. Haldar, A. Nayak, et al. "Overview of a compiler for synthesizing MATLAB programs onto FPGAs." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 12, no. 3 (2004): 312–24. http://dx.doi.org/10.1109/tvlsi.2004.824301.

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Latifis, Ioannis, Karthick Parashar, Grigoris Dimitroulakos, et al. "A Retargetable MATLAB-to-C Compiler Exploiting Custom Instructions and Data Parallelism." ACM Transactions on Embedded Computing Systems 19, no. 6 (2020): 1–27. http://dx.doi.org/10.1145/3391898.

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Yu, Cheng Bo, Dan Xiao, Yan Hong Ke, Yi Ju Yang, Lei Liu, and Yang Yu Yuan. "Software Development of Corneal Endothelial Cell Analyzer." Advanced Materials Research 1030-1032 (September 2014): 2372–76. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2372.

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Based on the current development of corneal endothelial cells in the domestic, this paper developed corneal endothelial cell analyzer software system which taken Microsoft Visual Studio as development platform in Windows7 system and combined with MATLAB image processing technology and the Access database information management technology. The software relies on a database established patient archiving and query system, by VC + + statically call the dynamic link library that MATLAB Compiler generated to complete image processing, by partial equilibrium approach for image enhancement, by dynamic
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Joisha, Pramod G., Abhay Kanhere, Prithviraj Banerjee, U. Nagaraj Shenoy, and Alok Choudhary. "Handling context-sensitive syntactic issues in the design of a front-end for a MATLAB compiler." ACM SIGAPL APL Quote Quad 31, no. 3 (2001): 27–40. http://dx.doi.org/10.1145/969781.969784.

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Dissertations / Theses on the topic "Matlab Compiler"

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Lameed, Nurudeen. "Dynamic compiler optimization techniques for MATLAB." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119604.

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MATLAB has gained widespread acceptance among engineers and scientists. Several aspects of the language such as dynamic loading and typing, safe updates, copy semantics for arrays, and support for higher-order functions contribute to its appeal, but at the same time provide many challenges to the compiler and virtual machine. MATLAB is a dynamic language. Traditional implementations of the language use interpreters and have been found to be too slow for large computations. More recently, researchers and software developers have been developing JIT compilers for MATLAB and other dynamic languag
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Li, Jun. "McFor: A MATLAB-to-fortran 95 compiler." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86985.

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The high-level array programming language MATLAB is widely used for prototyping algorithms and applications of scientific computations. However, its dynamically-typed nature, which means that MATLAB programs are usually executed via an interpreter, leads to poor performance. An alternative approach would be converting MATLAB programs to equivalent Fortran 95 programs. The resulting programs could be compiled using existing high-performance Fortran compilers and thus could provide better performance. This thesis presents techniques that are developed for our MATLAB-to-Fortran compiler, McFor, f
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Kumar, Vineet. "Mix10: a MATLAB to X10 compiler for high performance." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123273.

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MATLAB is a popular dynamic array-based language commonly used by students, scientists and engineers who appreciate the interactive development style, the rich set of array operators, the extensive builtin library, and the fact that they do not have to declare static types. Even though these users like to program in MATLAB, their computations are often very compute-intensive and are better suited for emerging high performance computing systems. This thesis reports on MIX10, a source-to-source compiler that automatically translates MATLAB programs to X10, a language designed for "Performance an
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Muellegger, Markus. "Evaluation of Compilers for MATLAB- to C-Code Translation." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1149.

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<p>MATLAB to C code translation is of increasing interest for science and industry. In</p><p>detail two MATLAB to C compilers denoted as Matlab to C Synthesis (MCS) and</p><p>Embedded MATLAB C (EMLC) have been studied. Three aspects of automatic code</p><p>generation have been studied; 1) generation of reference code; 2) target code generation;</p><p>3) floating-to-fixed-point conversion. The benchmark code used aimed to cover</p><p>simple up to more complex code by being viewed from a theoretical as well as practical perspective. A fixed-point filter implementation is demonstrated. EMLC and M
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Saak, Jens, and Stephan Schlömer. "RRQR-MEX - Linux and Windows 32bit MATLAB MEX-Files for the rank revealing QR factorization." Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-201000022.

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The rank revealing QR decomposition is a special form of the well known QR decomposition of a matrix. It uses specialized pivoting strategies and allows for an easy and efficient numerical rank decision for arbitrary matrices. It is especially valuable when column compression of rectangular matrices needs to be performed. Here we provide documentation and compilation instructions for a MATLAB MEX implementation of the RRQR allowing the easy usage of this decomposition inside the MATLAB environment.
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Jin, Lu. "Building Matlab Standalone Package from Java for Differential Dependence Network Analysis Bioinformatics Toolkit." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/33488.

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This thesis reports a software development effort to transplant Matlab algorithm into a Matlab license-free, platform dependent Java based software. The result is almost equivalent to a direct translation of Matlab source codes into Java or any other programming languages. Since compiled library is platform dependent, an MCR (Matlab Compiler Runtime environment) is required and has been developed to deploy the transplanted algorithm to end user. As the result, the implemented MCR is free to distribution and the streamline transplantation process is much simpler and more reliable than manually
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Junek, Jiří. "Modelování dynamiky části tiskařského stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240941.

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This thesis deals with modeling dynamics of printing machine, made by SOMA Engineering, in toolbox SimScape of simulation program Simulink/Matlab. There are descibed properties, progress, important principles and laws of modeling in this toolbox. The first part is focused on creating models, which consist as mechanical as eletrical and control parts. In the second part is explained how to create user interface to control models and creating standalone application, executable without installation of Matlab or Simulink. In last part is explained principle of identification parameters of material
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McCosh, Cheryl Hom. "Type-based specialization in a telescoping compiler for Matlab." Thesis, 2003. http://hdl.handle.net/1911/17609.

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This thesis develops telescoping-language technology for automatically generating high performance libraries from development code written in high-level languages, like Matlab. The generated library subroutines have pre-optimized variants based on possible uses of the library. Specifically, a specialized variant is generated for each possible type configuration on inputs to the library. This thesis develops an efficient graph-theoretical, constraint-based algorithm for inferring types in Matlab needed for translation into lower-level languages, optimization, and determination of which speciali
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Prasad, Ashwin. "Automatic Compilation Of MATLAB Programs For Synergistic Execution On Heterogeneous Processors." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2312.

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MATLAB is an array language, initially popular for rapid prototyping, but is now being in-creasingly used to develop production code for numerical and scientific applications. Typical MATLAB programs have abundant data parallelism. These programs also have control flow dominated scalar regions that have an impact on the program’s execution time. Today’s com-puter systems have tremendous computing power in the form of traditional CPU cores and also throughput-oriented accelerators such as graphics processing units (GPUs). Thus, an approach that maps the control flow dominated regions of a MATLA
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Book chapters on the topic "Matlab Compiler"

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De Rose, L., K. Gallivan, E. Gallopoulos, B. Marsolf, and D. Padua. "FALCON: A MATLAB interactive restructuring compiler." In Languages and Compilers for Parallel Computing. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0014205.

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Almasi, George, and David A. Padua. "MaJIC: A Matlab Just-In-Time Compiler." In Languages and Compilers for Parallel Computing. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45574-4_5.

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Lameed, Nurudeen, and Laurie Hendren. "Staged Static Techniques to Efficiently Implement Array Copy Semantics in a MATLAB JIT Compiler." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19861-8_3.

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Chen, Hanfeng, Alexander Krolik, Erick Lavoie, and Laurie Hendren. "Automatic Vectorization for MATLAB." In Languages and Compilers for Parallel Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52709-3_14.

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Joisha, Pramod G., U. Nagaraj Shenoy, and Prithviraj Banerjee. "Computing Array Shapes in MATLAB." In Languages and Compilers for Parallel Computing. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-35767-x_26.

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Ratnalikar, Pushkar, and Arun Chauhan. "Automatic Parallelism Through Macro Dataflow in MATLAB." In Languages and Compilers for Parallel Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17473-0_19.

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Chauhan, Arun, and Ken Kennedy. "Slice-Hoisting for Array-Size Inference in MATLAB." In Languages and Compilers for Parallel Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24644-2_32.

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Chauveau, Stéphane, and François Bodin. "Menhir: An Environment for High Performance Matlab." In Languages, Compilers, and Run-Time Systems for Scalable Computers. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49530-4_3.

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Aslam, Amina, and Laurie Hendren. "McFLAT: A Profile-Based Framework for MATLAB Loop Analysis and Transformations." In Languages and Compilers for Parallel Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19595-2_1.

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Kiepas, Patryk, Corinne Ancourt, Claude Tadonki, and Jarosław Koźlak. "Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation." In Languages and Compilers for Parallel Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72789-5_6.

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Conference papers on the topic "Matlab Compiler"

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Bispo, Joao, Pedro Pinto, Ricardo Nobre, Tiago Carvalho, Joao M. P. Cardoso, and Pedro C. Diniz. "The MATISSE MATLAB compiler." In 2013 IEEE 11th International Conference on Industrial Informatics (INDIN). IEEE, 2013. http://dx.doi.org/10.1109/indin.2013.6622952.

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Lezos, Christakis, Ioannis Latifis, Grigoris Dimitroulakos, and Konstantinos Masselos. "Compiler-Directed Data Locality Optimization in MATLAB." In SCOPES '16: 19th International Workshop on Software and Compilers for Embedded Systems. ACM, 2016. http://dx.doi.org/10.1145/2906363.2906378.

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Reis, Luís, João Bispo, and João M. P. Cardoso. "Compiler Techniques for Efficient MATLAB to OpenCL Code Generation." In IWOCL 2017: 5th International Workshop on OpenCL. ACM, 2017. http://dx.doi.org/10.1145/3078155.3078186.

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Skalicky, Sam, Sonia Lopez, Marcin Lukowiak, and Andrew G. Schmidt. "A Parallelizing Matlab Compiler Framework and Run Time for Heterogeneous Systems." In 2015 IEEE 17th International Conference on High-Performance Computing and Communications; 2015 IEEE 7th International Symposium on Cyberspace Safety and Security; and 2015 IEEE 12th International Conference on Embedded Software and Systems. IEEE, 2015. http://dx.doi.org/10.1109/hpcc-css-icess.2015.51.

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Banerjee, P. "An overview of a compiler for mapping MATLAB programs onto FPGAs." In the 2003 conference. ACM Press, 2003. http://dx.doi.org/10.1145/1119772.1119870.

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Joisha, Pramod G., Abhay Kanhere, Prithviraj Banerjee, U. Nagaraj Shenoy, and Alok Choudhary. "Handling context-sensitive syntactic issues in the design of a front-end for a MATLAB compiler." In the international conference. ACM Press, 2000. http://dx.doi.org/10.1145/570475.969784.

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Taghavi, O., P. S. Shiakolas, and O. Kuljaca. "Fuzzy Logic Real-Time Digital Control of a Hardware in the Loop Maglev Device Using MATLAB and xPC Target." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42821.

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This work will discuss the use of a single environment for real-time digital control with a hardware-in-the-loop (HIL) magnetic levitation (maglev) device for modeling and controls education, with emphasis on fuzzy logic (FL) feedforward control. This environment utilizes two computers (host and target), an off-the-shelf data acquisition card, and the HIL device (a nonlinear, open-loop, unstable, and time varying, custom-built maglev). The software includes tools from MathWorks Inc., and a C++ compiler. The values of any parameter (control law, reference trajectory) in the Smulink model can be
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Shei, Chun-Yu, Adarsh Yoga, Madhav Ramesh, and Arun Chauhan. "MATLAB Parallelization through Scalarization." In 2011 INTERACT-15: 15th Workshop on Interaction between Compilers and Computer Architectures. IEEE, 2011. http://dx.doi.org/10.1109/interact.2011.18.

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Tang, Zhenpeng, Fuyu Zhao, Pengfei Wang, Li Chen, and Huawei Fang. "Modeling and Simulation of Nuclear Power Units for Primary Frequency Regulation Research." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15396.

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The power system frequency stability problem has been the focus of attention since 1920s. Primary frequency regulation (PFR) is one of vital methods to maintain frequency stability, especially when the power system suffers a sudden load disturbance, such as the substation tripping or generator outage accident. To a power system, the more power units participating in PFR, the frequency stability will be controlled better. With the rapid development of nuclear power units in China, the study of the nuclear power units participating in PFR of power system has becoming a pressing problem. In the p
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Shei, Chun-Yu, Arun Chauhan, and Sidney Shaw. "Compile-time disambiguation of MATLAB types through concrete interpretation with automatic run-time fallback." In 2009 International Conference on High Performance Computing (HiPC). IEEE, 2009. http://dx.doi.org/10.1109/hipc.2009.5433203.

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