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MathWorks Inc routines
Routines, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 171 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/source+level+matlab+compiler/MATLAB+Coder/pm41173439-616-15-18
Average 95 stars, based on 171 article reviews
routines - by Bioz Stars, 2026-10
95/100 stars

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Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C + + code, while the HDL Coder workflow is used as a comparative baseline.

Article Title: Method and system for measuring, predicting and optimizing human alertness
Article Snippet: The algorithms for group-average and individualized predictions were written in MATLAB, translated to C with MATLAB Coder, and then compiled into a native library.

Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
Article Snippet: All artificial neural network (ANN) models were converted into fixed-point C code using MATLAB Coder and Embedded Coder toolchains.

Article Title: Real-time Covid-19 diagnosis on embedded IoT platforms
Article Snippet: The trained model was converted into an embedded-compatible format using MATLAB Coder and GPU Coder, generating CUDA-accelerated code optimized for the GPU resources available on the NVIDIA Jetson platform.

Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C++ code, while the HDL Coder workflow is used as a comparative baseline.

Software:

Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems [12]. .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C++ or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations [13]. ..

Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems . .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C + + or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations . ..

Blocking Assay:

Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
Article Snippet: .. Once trained, the ANN model is exported as a lightweight C-code block using MATLAB CoderTM for embedded deployment. ..



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MathWorks Inc source level matlab compiler
Fig. 4. Comparison of the NLODT-P runtime for <t>MATLAB</t> + GPU (GPU computing and CRF format) and the approach only with MATLAB.
Source Level Matlab Compiler, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/source+level+matlab+compiler/MATLAB+Compiler/10__1364_slash_oe__23__004021-193-16-17
Average 96 stars, based on 1 article reviews
source level matlab compiler - by Bioz Stars, 2026-10
96/100 stars
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Fig. 4. Comparison of the NLODT-P runtime for MATLAB + GPU (GPU computing and CRF format) and the approach only with MATLAB.

Journal: Optics Express

Article Title: High performance computing for a 3-D optical diffraction tomographic application in fluid velocimetry

doi: 10.1364/oe.23.004021

Figure Lengend Snippet: Fig. 4. Comparison of the NLODT-P runtime for MATLAB + GPU (GPU computing and CRF format) and the approach only with MATLAB.

Article Snippet: 23, No. 4 | DOI:10.1364/OE.23.004021 | OPTICS EXPRESS 4022 implementation of our NLODT model at a source-level MATLAB compiler calling MEXfiles for using GPU routines [15], which is also experimentally evaluated.

Techniques: Comparison