If you get an error that looks like ```../kernel/x86_64/dgemm_kernel_4x4_haswell.S:1709: Error: no such instruction: `vpermpd $ 0xb1,%ymm0,%ymm0'```, then you need to set `OPENBLAS_DYNAMIC_ARCH = 0` or `OPENBLAS_NO_AVX2 = 1`, or you need a newer version of `binutils` (2.18 or newer). ([Issue #7653](https://github.com/JuliaLang/julia/issues/7653)) Illegal Instruction error | Check if your CPU supports AVX while your OS does not (e.g. through virtualization, as described in [this issue](https://github.com/JuliaLang/julia/issues/3263)). ### OS X You need to have the current Xcode command line utilities installed: run `xcode-select --install` in the terminal. You will need to rerun this terminal command after each OS X update, otherwise you may run into errors involving missing libraries or headers. You will also need a 64-bit gfortran to compile Julia dependencies. The gfortran-4.7 (and newer) compilers in Brew, Fink, and MacPorts work for building Julia. Clang is now used by default to build Julia on OS X 10.7 and above. On OS X 10.6, the Julia build will automatically use `gcc`. On current systems, we recommend that you install the command line tools as described above. Older systems do not have a separate command line tools package from Apple, and will require a full Xcode install. On these, you will need at least Xcode 4.3.3. In Xcode prior to v5.0, you can alternatively go to Preferences -> Downloads and select the Command Line Utilities. These steps will ensure that clang v3.1 is installed, which is the minimum version of `clang` required to build Julia. If you have set `LD_LIBRARY_PATH` or `DYLD_LIBRARY_PATH` in your `.bashrc` or equivalent, Julia may be unable to find various libraries that come bundled with it. These environment variables need to be unset for Julia to work. If you see build failures in OpenBLAS or if you prefer to experiment, you can use the Apple provided BLAS in vecLib by building with `USE_SYSTEM_BLAS=1`. Julia does not use the Apple provided LAPACK, as it is too old. When building Julia, or its dependencies, libraries installed by third party package managers can redirect the compiler to use an incompatible version of the software it is looking for. One example of this happening is when a piece of software called the "linker" gives an error involving "Undefined symbols." If that happens, you can usually figure out what software package is causing the error from the names in the error text. This sort of error can be bypassed by, temporarily, uninstalling the offending package. If the offending package cannot be uninstalled by itself, it may be possible to just uninstall the development headers (for example: a package ending in "-dev" in Fink). ### FreeBSD Clang is the default compiler on FreeBSD 11.0-RELEASE and above. The remaining build tools are available from the Ports Collection, and can be installed using `pkg install git gcc gmake cmake`. To build Julia, simply run `gmake`. (Note that `gmake` must be used rather than `make`, since `make` on FreeBSD corresponds to the incompatible BSD Make rather than GNU Make.) It's important to note that the `USE_SYSTEM_*` flags should be used with caution on FreeBSD. This is because many system libraries, and even libraries from the Ports Collection, link to the system's `libgcc_s.so.1`, or to another library which links to the system `libgcc_s`. This library declares its GCC version to be 4.6, which is too old to build Julia, and conflicts with other libraries when linking. Thus it is highly recommended to simply allow Julia to build all of its dependencies. If you do choose to use the `USE_SYSTEM_*` flags, note that `/usr/local` is not on the compiler path by default, so you may need to add `LDFLAGS=-L/usr/local/lib` and `CPPFLAGS=-I/usr/local/include` to your `Make.user`, though doing so may interfere with other dependencies. Some known issues on FreeBSD are: * The x86 architecture does not support threading due to lack of compiler runtime library support, so you may need to set `JULIA_THREADS=0` in your `Make.user` if you're on a 32-bit system. ### Windows In order to build Julia on Windows, see [README.windows](https://github.com/JuliaLang/julia/blob/master/README.windows.md). ### Vagrant Julia can be developed in an isolated Vagrant environment. See [the Vagrant README](https://github.com/JuliaLang/julia/blob/master/contrib/vagrant/README.md) for details. ## Required Build Tools and External Libraries Building Julia requires that the following software be installed: - **[GNU make]** — building dependencies. - **[gcc & g++][gcc]** (>= 4.7) or **[Clang][clang]** (>= 3.1, Xcode 4.3.3 on OS X) — compiling and linking C, C++ - **[python]** (>=2.7) - needed to build LLVM. - **[gfortran]** — compiling and linking Fortran libraries - **[perl]** — preprocessing of header files of libraries. - **[wget]**, **[curl]**, or **[fetch]** (FreeBSD) — to automatically download external libraries. - **[m4]** — needed to build GMP. - **[patch]** — for modifying source code. - **[cmake]** — needed to build `libgit2`. - **[pkg-config]** - needed to build `libgit2` correctly, especially for proxy support Julia uses the following external libraries, which are automatically downloaded (or in a few cases, included in the Julia source repository) and then compiled from source the first time you run `make`: - **[LLVM]** (3.9) — compiler infrastructure. - **[FemtoLisp]** — packaged with Julia source, and used to implement the compiler front-end. - **[libuv]** — portable, high-performance event-based I/O library - **[OpenLibm]** — portable libm library containing elementary math functions. - **[OpenSpecFun]** (>= 0.4) — library containing Bessel and error functions of complex arguments. - **[DSFMT]** — fast Mersenne Twister pseudorandom number generator library. - **[OpenBLAS]** — fast, open, and maintained [basic linear algebra subprograms (BLAS)](https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms) library, based on [Kazushige Goto's](https://en.wikipedia.org/wiki/Kazushige_Goto) famous [GotoBLAS](https://www.tacc.utexas.edu/research-development/tacc-software/gotoblas2). - **[LAPACK]** (>= 3.5) — library of linear algebra routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. - **[MKL]** (optional) – OpenBLAS and LAPACK may be replaced by Intel's MKL library. - **[AMOS]** — subroutines for computing Bessel and Airy functions. - **[SuiteSparse]** (>= 4.1) — library of linear algebra routines for sparse matrices. - **[ARPACK]** — collection of subroutines designed to solve large, sparse eigenvalue problems. - **[PCRE]** (>= 10.00) — Perl-compatible regular expressions library. - **[GMP]** (>= 5.0) — GNU multiple precision arithmetic library, needed for `BigInt` support. - **[MPFR]** (>= 3.0) — GNU multiple precision floating point library, needed for arbitrary precision floating point (`BigFloat`) support. - **[libgit2]** (>= 0.23) — Git linkable library, used by Julia's package manager - **[curl]** (>= 7.50) — libcurl provides download and proxy support for Julia's package manager - **[libssh2]** (>= 1.7) — library for SSH transport, used by libgit2 for packages with SSH remotes - **[mbedtls]** (>= 2.2) — library used for cryptography and transport layer security, used by libssh2 - **[utf8proc]** (>= 2.1) — a library for processing UTF-8 encoded Unicode strings - **[libosxunwind]** — clone of [libunwind], a library that determines the call-chain of a program [GNU make]: http://www.gnu.org/software/make [patch]: http://www.gnu.org/software/patch [wget]: http://www.gnu.org/software/wget [m4]: http://www.gnu.org/software/m4 [gcc]: http://gcc.gnu.org [clang]: http://clang.llvm.org [python]: https://www.python.org/ [gfortran]: https://gcc.gnu.org/fortran/ [curl]: http://curl.haxx.se [fetch]: http://www.freebsd.org/cgi/man.cgi?fetch(1) [perl]: http://www.perl.org [cmake]: http://www.cmake.org [OpenLibm]: https://github.com/JuliaLang/openlibm [OpenSpecFun]: https://github.com/JuliaLang/openspecfun [DSFMT]: http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/SFMT/#dSFMT [OpenBLAS]: https://github.com/xianyi/OpenBLAS [LAPACK]: http://www.netlib.org/lapack [MKL]: http://software.intel.com/en-us/articles/intel-mkl [SuiteSparse]: http://faculty.cse.tamu.edu/davis/suitesparse.html [AMOS]: http://netlib.org/amos [ARPACK]: http://forge.scilab.org/index.php/p/arpack-ng [PCRE]: http://www.pcre.org [LLVM]: http://www.llvm.org [FemtoLisp]: https://github.com/JeffBezanson/femtolisp [GMP]: http://gmplib.org [MPFR]: http://www.mpfr.org [libuv]: https://github.com/JuliaLang/libuv [libgit2]: https://libgit2.github.com/ [utf8proc]: https://julialang.org/utf8proc/ [libosxunwind]: https://github.com/JuliaLang/libosxunwind [libunwind]: http://www.nongnu.org/libunwind [libssh2]: https://www.libssh2.org [mbedtls]: https://tls.mbed.org/ [pkg-config]: https://www.freedesktop.org/wiki/Software/pkg-config/ ### System Provided Libraries If you already have one or more of these packages installed on your system, you can prevent Julia from compiling duplicates of these libraries by passing `USE_SYSTEM_...=1` to `make` or adding the line to `Make.user`. The complete list of possible flags can be found in `Make.inc`. Please be aware that this procedure is not officially supported, as it introduces additional variability into the installation and versioning of the dependencies, and is recommended only for system package maintainers. Unexpected compile errors may result, as the build system will do no further checking to ensure the proper packages are installed. ### SuiteSparse SuiteSparse is a special case, since it is typically only installed as a static library, while `USE_SYSTEM_SUITESPARSE=1` requires that it is a shared library. Running the script `contrib/repackage_system_suitesparse4.make` will copy your static system SuiteSparse installation into the shared library format required by Julia. `make USE_SYSTEM_SUITESPARSE=1` will then use the SuiteSparse that has been copied into Julia's directory, but will not build a new SuiteSparse library from scratch. ### Intel compilers and Math Kernel Library (MKL) To build Julia using the Intel compilers (icc, icpc, ifort), and link against the [MKL] BLAS and LAPACK libraries, first make sure you have a recent version of the compiler suite (version 15 or later). For a 64-bit architecture, the environment should be set up as follows: # bash source /path/to/intel/bin/compilervars.sh intel64 Add the following to the `Make.user` file: USEICC = 1 USEIFC = 1 USE_INTEL_MKL = 1 USE_INTEL_LIBM = 1 It is highly recommended to start with a fresh clone of the Julia repository. ## Source Code Organization The Julia source code is organized as follows: base/ source code for Julia's standard library contrib/ editor support for Julia source, miscellaneous scripts deps/ external dependencies doc/manual source for the user manual doc/stdlib source for standard library function help text examples/ example Julia programs src/ source for Julia language core test/ test suites test/perf benchmark suites ui/ source for various front ends usr/ binaries and shared libraries loaded by Julia's standard libraries ## Binary Installation If you would rather not compile the latest Julia from source, platform-specific tarballs with pre-compiled binaries are also [available for download](https://julialang.org/downloads/). You can either run the `julia` executable using its full path in the directory created above, or add that directory to your executable path so that you can run the Julia program from anywhere (in the current shell session): export PATH="$(pwd)/julia:$PATH" Now you should be able to run Julia like this: julia On Windows, double-click `usr/bin/julia.exe`. If everything works correctly, you will see a Julia banner and an interactive prompt into which you can enter expressions for evaluation. You can read about [getting started](https://julialang.org/manual/getting-started) in the manual. The following distributions include julia, but the versions may be out of date due to rapid development: * [Alpine Linux](http://pkgs.alpinelinux.org/package/edge/testing/x86_64/julia) * [Arch Linux](https://www.archlinux.org/packages/community/i686/julia/) * [Debian GNU/Linux](http://packages.debian.org/sid/julia) * [Fedora Linux](https://admin.fedoraproject.org/pkgdb/package/julia/), RHEL/CentOS/OEL/Scientific Linux (EPEL) * [Current stable release for Fedora/EPEL](https://copr.fedoraproject.org/coprs/nalimilan/julia/) * [Nightly builds for Fedora/EPEL](https://copr.fedoraproject.org/coprs/nalimilan/julia-nightlies/) * [Gentoo Linux](https://packages.gentoo.org/package/dev-lang/julia) * Git Package in the [Science overlay](https://wiki.gentoo.org/wiki/Project:Science/Overlay) * openSUSE * Stable package for openSUSE: [OBS page](https://build.opensuse.org/package/show/science/julia), [1 Click Install](http://software.opensuse.org/download.html?project=science&package=julia) * Git package for openSUSE: [OBS page](https://build.opensuse.org/package/show/science/julia-unstable), [1 Click Install](http://software.opensuse.org/download.html?project=science&package=julia-unstable) * [NixOS](https://github.com/NixOS/nixpkgs/blob/master/pkgs/development/compilers/julia) * Ubuntu * [Ubuntu](http://packages.ubuntu.com/search?keywords=julia) * [Nightly builds PPA](https://launchpad.net/~staticfloat/+archive/julianightlies) (depends on the [julia-deps PPA](https://launchpad.net/~staticfloat/+archive/julia-deps/)) * [MacPorts](https://trac.macports.org/browser/trunk/dports/lang/julia/Portfile) * [OS X Homebrew Tap](https://github.com/staticfloat/homebrew-julia/) * [FreeBSD Ports](https://www.freshports.org/lang/julia/) ## Editor and Terminal Setup Currently, Julia editing mode support is available for a number of editors. While Julia modes for [Emacs](https://github.com/JuliaLang/julia-emacs), [Sublime Text](https://github.com/JuliaEditorSupport/Julia-sublime), and [Vim](https://github.com/JuliaLang/julia-vim) have their own repos, others such as Textmate, Notepad++, and Kate, are in `contrib/`. Two major IDEs are supported for Julia: [Juno](http://junolab.org/), which is based on [Atom](https://atom.io/), and [JuliaDT](https://github.com/JuliaComputing/JuliaDT), which is an [Eclipse](http://eclipse.org) plugin. A [Jupyter](http://jupyter.org/) notebooks interface is available through [IJulia](https://github.com/JuliaLang/IJulia.jl). The [Sublime-IJulia](https://github.com/quinnj/Sublime-IJulia) plugin enables interaction between IJulia and Sublime Text. In the terminal, Julia makes great use of both control-key and meta-key bindings. To make the meta-key bindings more accessible, many terminal emulator programs (e.g., `Terminal`, `iTerm`, `xterm`, etc.) allow you to use the alt or option key as meta. See the section in the manual on [interacting with Julia](https://docs.julialang.org/en/latest/manual/interacting-with-julia) for more details.