![]() Unfortunately, unlike MKL, FFTW is not bundled as a replaceable library file. Similarly, FFTW’s latest stable release is 3.3.3, offers advantages compared to R2013a’s bundled 3.3.1 version. You may wish to use MKL’s FFTW wrapper in such cases rather than calling MKL’s FFT routines directly. Improved functionality of MKL’s FFT implementation - Matlab’s *fft functions use FFTW, but in some cases MKL’s FFT implementation outperforms FFTW’s.Improved support for Intel’s AVX2 instruction set (see related comment by Eric Sampson recently).Using this example, the latest official version of MKL is 11.0, which promises several important improvements over R2013a’s bundled version (10.3.11): For example: C:\Program Files\Matlab\R2013b\bin\win64\mkl.dll is Intel’s MKL (Math Kernel Library), which contains BLAS and LAPACK. ![]() For those interested, the libraries are located in %matlabroot%/bin/%arch%. Naturally, you can only upgrade if you have a license for the upgraded library. ![]() It may well be possible for users to upgrade the internal libraries that Matlab uses to the latest version, assuming that backward compatibility is preserved in these libraries (which I suppose is the case). dll Version Ĭ:\Program Files\Matlab\R2013b\bin\win64\libut.dll Version Ĭ:\Program Files\Matlab\R2013b\bin\win64\libmwfl.dll Version Ĭ:\Program Files\Matlab\R2013b\bin\win64\libmx.dll Version 8.2.0.627Ĭ:\Program Files\Matlab\R2013b\bin\win64\zlib1.dll Version ĭo you know of any other hidden version info anywhere in Matlab? If so, please post a comment below. dll Version Ĭ:\Program Files\Matlab\R2013b\bin\win64\libmx. dll Version Ĭ:\Program Files\Matlab\R2013b\bin\win64\libmwfl. Note that the LAPACK version is not always updated together with BLAS, although they are both part of Intel’s MKL (more on MKL below).Īddendum : The undocumented -modules option of the version command provides the list of currently installed libraries:Ĭ:\Program Files\Matlab\R2013b\bin\win64\libut. Here is a summary of the math libraries version in recent Matlab releases (Windows only): Matlab release Luckily, the version format that I showed above seems pretty stable and can be used as-is across multiple Matlab releases. These interfaces (and their mex files) have changed their name and availability in some Matlab releases. I’ll have a separate post (or series of posts) on Matlab’s internal.* functions, but at least with regards to version information they should NOT be relied upon. In versions up to R2013a, this information could also be retrieved using the .* mex functions (e.g., .blas, which runs the mex function %matlabroot%\toolbox\matlab\matfun\+internal\+matlab\+language\+versionPlugins\xw64). Specific versions of BLAS, LAPACK and FFTW, which Matlab uses under its hood for all linear algebra and FFW computations, may exhibit idiosyncrasies that may be important in certain cases. This information is sometimes useful, and is sometimes asked by users. Intel(R) Math Kernel Library Version 10.3.11 Product Build 20120606 for Intel(R) 64 architecture applications Some slides and examples related to this package can be found here:įinally, more detailed info about use and troubleshooting can be found in the readme.txt file contained in this submission.Intel (R ) Math Kernel Library Version 10.3.11 Product Build 20120606 for Intel (R ) 64 architecture applications %- adafruit motor shield (with AFMotor library)Ī.motorRun(4, 'forward') % run motor forwardĪ.stepperStep(1, 'forward', 'double', 100) % move stepper motor Val=a.servoRead(9) % reads angle from servo on pin #9Ī.servoDetach(9) % detach servo from pin #9Ī.encoderAttach(0,3,2) % attach encoder #0 on pins 3 (pin A) and 2 (pin B)Ī.encoderStatus % get status of all three encodersĪ.encoderDebounce(0,12) % sets debounce delay to 12 (~1.2ms) ![]() ChipKit32)Ī.analogWrite(9, 155) % write 155 to analog pin 9Ī.roundTrip(42) % sends 42 to the arduino and backĪ.servoAttach(9) % attach servo on pin #9Ī.servoWrite(9,100) % rotates servo on pin #9 to 100 degrees You are using unsupported Arduino clones which won't work with the official packages (e.g. You need functions or blocks that enable you to interactively read or reset encoders You need Simulink blocks that enable you to interactively stream input and outputs from your Arduino You are using MATLAB R2013b or earlier (but not earlier than R2011a). Use this legacy support only if one of the following is true: Simulink Support Package for Arduino Hardware: Develop algorithms that run standalone on your Arduino ![]() MATLAB Support Package for Arduino Hardware: Read, write, and analyze data from Arduino sensors It is recommended that you use Arduino support packages that are developed and supported by MathWorks: NOTE: This solution (formerly known as "Arduino IO Package") is no longer supported. ![]()
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