lomp | Little OpenMP Library | GPU library

 by   parallel-runtimes C++ Version: Current License: Apache-2.0

kandi X-RAY | lomp Summary

kandi X-RAY | lomp Summary

lomp is a C++ library typically used in Hardware, GPU applications. lomp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

LOMP, short for Little OpenMP (runtime), is a small OpenMP runtime implementation that can be used for educational or prototyping purposes. It currently only implements a rather small subset of the [OpenMP Application Programming Interface] for CPUs (i.e., it has no support for offload to target devices and is also missing many CPU-only features). LOMP was written to demonstrate the design principals outlined in the book [High-Performance Parallel Runtimes] The library uses the same binary interface as clang/LLVM\*, and this is compatible with several compilers that use that interface. Unless you use a feature that LOMP does not currently support, LOMP can serve as a drop-in replacement for the native OpenMP runtime library of a compatible compiler without requiring re-compilation of your application. The runtime is mostly written in C14, though with some features of C17, and can be compiled for a variety of different architectures. There are no assembler files in the runtime, and the use of inline assembly is restricted to a few features (such as reading the high resolution clock). For architectures that do not have a code path to access the high-resolution clock via inline assembly, we rely on C++ features to measure time. Atomic operations are all accessed though std::atomic. As well as the source for the runtime there are also a few micro-benchmarks and some (extremely minimal) sanity tests.
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            kandi-support Support

              lomp has a low active ecosystem.
              It has 107 star(s) with 8 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 17 open issues and 11 have been closed. On average issues are closed in 69 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lomp is current.

            kandi-Quality Quality

              lomp has 0 bugs and 0 code smells.

            kandi-Security Security

              lomp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              lomp code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              lomp is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              lomp releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 1957 lines of code, 93 functions and 17 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            lomp Key Features

            No Key Features are available at this moment for lomp.

            lomp Examples and Code Snippets

            No Code Snippets are available at this moment for lomp.

            Community Discussions

            QUESTION

            How can I solve the "linker command failed with exit code 1" problem?
            Asked 2021-Jun-07 at 19:33

            I am trying to use OMPTrace which is a tool for tracing and visualizing OpenMP program execution as shown here https://github.com/passlab/omptrace. The codes given in the examples is written in C. (jacobi.c and axpy.c) The library is well installed in /home/hakim/llvm-openmp/BUILD/omptrace/build/libomptrace.so. I created a makefile as following:

            ...

            ANSWER

            Answered 2021-Jun-07 at 19:33
            1. You need to locate the libomp.a
            2. Add the path where libomp.a lives to the ld command line parameters -Lpath
            3. enjoy

            Source https://stackoverflow.com/questions/67877585

            QUESTION

            macOS llvm compilation : ld: library not found for -lomp
            Asked 2021-Mar-30 at 20:13

            I have to use openMP for a project with my university. To do that I downloaded llvm using brew and I replaced cc = gcc in the makefile by CC=/usr/local/opt/llvm/bin/clang.

            Now it seemed like it was going to work, but I get an unexpected error ld: library not found for -lomp clang-11: error: linker command failed with exit code 1.

            When I run llvm-config --system-libs I get : -lm -lz -lcurses -lxml2.

            I'm a complete beginner on this subject, but I think I have to install the ld library ? Can anyone help ?

            edit: full makefile

            ...

            ANSWER

            Answered 2021-Mar-30 at 20:13

            Solved in the comments by Craig Estey. So here's my tutorial for compiling openMP on macOS.

            1. install llvm with brew install llvm
            2. install libomp with brew install libomp

            Now, it clang and clang++ are calling llvm compilation, OpenMP should compile. But that's where I ran into the issue of missing ld linked.

            1. use find /usr/local -xdev -name '*libomp*' to find where libomp is installed, probably at /usr/local/opt/libomp

            Now when you compile/in your makefile, use clang instead of cc/gcc and add LDFLAGS += -L /libomp/lib and CFLAGS += -I/usr/local/opt/libomp/include to your make file. Compiling should now work.

            Source https://stackoverflow.com/questions/66556858

            QUESTION

            "fatal error: 'omp.h' file not found" using clang on Apple M1
            Asked 2021-Mar-18 at 12:47

            Clang isn't able to find omp.h whenever I try to compile with openMP flag. Here's what I'm trying to do

            ...

            ANSWER

            Answered 2021-Mar-18 at 12:47

            When using brew to target the M1 natively, the brew installed clang is not in /usr/bin. The brew instructions show that the preferred location for it is /opt/homebrew. The clang in /usr/bin is a link to the Apple command line tools one; you can see that by using -v.

            Source https://stackoverflow.com/questions/66663120

            QUESTION

            Scipy build fail on MacOS because LLVM producer != reader
            Asked 2020-Dec-13 at 12:40

            I'm trying to build Scipy from source. However, a linking step...

            ...

            ANSWER

            Answered 2020-Aug-16 at 08:00

            It seems you're using different clang (judging from the paths like /usr/local/opt/libomp/lib). Likely the one provided by conda. In order to perform build with LTO you need to use the compatible toolchain (e.g. build everything with Apple-provided toolchain or with conda-provided one).

            Source https://stackoverflow.com/questions/63428079

            QUESTION

            Memory error when linking g++ with pgi compiled code using OpenACC and cublasDgemv
            Asked 2020-May-04 at 16:41

            In order to use my GPU with OpenACC and cublas in an application, which is comiled with g++, I setup a small testexample. Therefor I created the files:

            • main.cpp
            • pgiCudaCode.h
            • pgiCudaCode.cpp

            My testsystem ist an Ubuntu 18.04 linux with g++ version 7.5.0 and the pgc++ version 19.10-0 with a Nvidia GTX1070 card.

            The file pgiCudaCode.cpp got some impementations for a general matrix-verctor multiply with openACC and cublas. This file is complied with the PGI compiler and the command:

            ...

            ANSWER

            Answered 2020-May-04 at 16:41

            You're best off using pgc++ to link. Compiling main.cpp with g++ is fine, but the PGI compiler at link time will implicitly include some initialization routines that are needed for OpenACC and CUDA interoperability. Without this initialization, you'll see runtime errors like this one.

            Source https://stackoverflow.com/questions/61591783

            QUESTION

            Cython openMP in OSX... no build
            Asked 2020-Mar-20 at 21:32

            I 'm fighting 3 days now to setup my venv... I need cython, openmp.... My IDE is PyCharm Prof in macOS... I have tried plenty solutions with no result...

            when i try to build with PyCharm... the building result is:

            ...

            ANSWER

            Answered 2020-Mar-18 at 17:27

            Finally i find the solution...

            1. In your venv:

            pip install Cython setuptools

            1. Find where is your gcc compiler... if you have already install do as follows, in other case find and install one...

            $ mdfind gcc | grep gcc

            1. Put the whole gcc directory in your project's venv. (path: /My_Project/venv/gcc)

            2. and setup.py should be the following... (path: /My_Project/package/setup.py)

            Source https://stackoverflow.com/questions/60712479

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

            Vulnerabilities

            No vulnerabilities reported

            Install lomp

            Here are some, hopefully useful, remarks about how you can setup LOMP on your system. The instructions come without any warranty, and may be wrong, or incomplete.

            Support

            The LOMP runtime supports the following target architectures (in parenthesis we show the architecture name as reported by the uname command):. There is incomplete support for ARM-based Apple\* Macs (which is held up by an LLVM compiler [bug](https://bugs.llvm.org/show_bug.cgi?id=48885)).
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          • HTTPS

            https://github.com/parallel-runtimes/lomp.git

          • CLI

            gh repo clone parallel-runtimes/lomp

          • sshUrl

            git@github.com:parallel-runtimes/lomp.git

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