qmkl | Math Kernel Library for VideoCore IV QPU

by Idein Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | qmkl Summary

qmkl is a Python library. qmkl has no vulnerabilities and it has low support. However qmkl has 4 bugs, it build file is not available and it has a Non-SPDX License. You can download it from GitHub.

QMKL is a Math Kernel Library for VideoCore IV QPU. QMKL is compatible with Intel MKL except for double precision etc. We, Idein Inc., built object recognition demos (GoogLeNet etc.) on Raspberry Pi. The demos run on QPU using both QMKL and our private libraries, which are highly optimized for neural networks. Please check out our video on YouTube.

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Quality

Security

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Support

qmkl has a low active ecosystem.

It has 59 star(s) with 11 fork(s). There are 38 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 13 have been closed. On average issues are closed in 72 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of qmkl is current.

Quality

qmkl has 4 bugs (4 blocker, 0 critical, 0 major, 0 minor) and 384 code smells.

Security

qmkl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

qmkl code analysis shows 0 unresolved vulnerabilities.

There are 12 security hotspots that need review.

License

qmkl has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

qmkl releases are not available. You will need to build from source code and install.

qmkl has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

qmkl saves you 1942 person hours of effort in developing the same functionality from scratch.

It has 4276 lines of code, 24 functions and 4 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed qmkl and discovered the below as its top functions. This is intended to give you an instant insight into qmkl implemented functionality, and help decide if they suit your requirements.

Return code for sgemm
Generate a sequence of integer values

Get all kandi verified functions for this library.

qmkl Key Features

No Key Features are available at this moment for qmkl.

qmkl Examples and Code Snippets

No Code Snippets are available at this moment for qmkl.

Community Discussions

Trending Discussions on qmkl

How to use Intel MKL Libraries in Dymola 2021

Matlab crashes when invoking functions from intel MKL

QUESTION

How to use Intel MKL Libraries in Dymola 2021

Asked 2020-Aug-19 at 13:11

I am aware of support for Intel Compiler in Dymola 2021 but I don't know if Intel MKL variants are used for the linear algebra libraries (BLAS, LAPACK etc.) in the solver. I was wondering if there is some setting to switch the solvers to use the MKL variants.

I tried using the -Qmkl compiler flag but I am unsure if that makes any difference

Update: Looks like Dymola isn't making use of MKL libraries even if you select the intel compiler. MKL_VERBOSE seems to have confirmed it.

...

ANSWER

Answered 2020-Jul-23 at 10:16

Intel MKL (BLAS, LAPACK, FFT ) provides the Verbose mode feature - all of these routines print a human-readable line describing the call. To enable this mode you may set/export the MKL_VERBOSE=1 environment variable. Please refer more details to the developer guide follow the link:https://software.intel.com/content/www/us/en/develop/documentation/mkl-linux-developer-guide/top/managing-output/using-intel-mkl-verbose-mode.html

Source https://stackoverflow.com/questions/63042465

QUESTION

Matlab crashes when invoking functions from intel MKL

Asked 2019-Dec-28 at 12:19

I'm trying to link Fortran code with Matlab using the Mex function. I can successfully compile and link the code using the following instruction:

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ANSWER

Answered 2019-Dec-28 at 12:19

The most probable reason is the incompatibility between the default integer size and MKL library interface version.

LP64 requires 4-byte integers, ILP64 requires 8-byte ones. mex by default adds the /integer-size:64 option, thus making integers 8-byte long. But according to the documentation, with /Qmkl option the compiler links against LP64 libraries.

To fix the problem you need to link against ILP64 libraries explicitly. To that aim remove /Qopenmp /Qmkl and use -lmkl_intel_ilp64.lib -lmkl_intel_thread.lib -lmkl_core.lib libiomp5md.lib link options.

Source https://stackoverflow.com/questions/59507831

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

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Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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