lomp | Little OpenMP Library | GPU library
kandi X-RAY | lomp Summary
kandi X-RAY | lomp Summary
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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QUESTION
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- You need to locate the libomp.a
- Add the path where libomp.a lives to the
ld
command line parameters-Lpath
- enjoy
QUESTION
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 20:13Solved in the comments by Craig Estey. So here's my tutorial for compiling openMP on macOS.
- install llvm with
brew install llvm
- 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.
- 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.
QUESTION
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 12:47When 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
.
QUESTION
I'm trying to build Scipy from source. However, a linking step...
...ANSWER
Answered 2020-Aug-16 at 08:00It 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).
QUESTION
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 16:41You'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.
QUESTION
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 17:27Finally i find the solution...
- In your venv:
pip install Cython setuptools
- 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
Put the whole gcc directory in your project's venv. (path: /My_Project/venv/gcc)
and setup.py should be the following... (path: /My_Project/package/setup.py)
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