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<meta name="description" content="SLEEF implements vectorized C99 math functions. It utilizes vector extensions including SSE2, AVX, AVX2, AVX512F for x86, and Advanced SIMD for ARM processors." />
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<h1>SLEEF Vectorized Math Library<img src="sleeflogo3.png" alt="logo" width="25%" height="25%" style="float: right" /></h1>

<ul class="none" style="font-family: arial, sansserif; margin-top: 1.0cm;">
  <li><a class="underlined" style="color:#a00000;" href="https://github.com/shibatch/sleef/releases">Download the latest version</a></li>
  <li><a class="underlined" href="https://sleef.org/">Latest documentation on the web</a></li>
  <li><a class="underlined" href="https://github.com/shibatch/sleef">GitHub repository</a></li>
  <li><a class="underlined" href="https://sourceforge.net/p/sleef/mailman/">Mailing list</a></li>
  <li><a class="underlined" href="https://sourceforge.net/p/sleef/discussion/general/">Discussion forum</a></li>
</ul>

<h2>Table of contents</h2>

<ul class="none" style="font-family: arial, sansserif; padding-left: 0.5cm;">
  <li><a class="underlined" href="index.xhtml">Introduction</a>
    <ul class="disc">
      <li><a href="index.xhtml#overview">Overview</a></li>
      <li><a href="index.xhtml#environment">Supported environments</a></li>
      <!--<li><a href="index.xhtml#compatibility">Compatibility with other libraries</a></li>-->
      <!--<li><a href="index.xhtml#porting">Porting</a></li>-->
      <li><a href="index.xhtml#credit">Credit</a></li>
      <li><a href="index.xhtml#partners">Partners</a></li>
      <li><a href="index.xhtml#license">License</a></li>
      <li><a href="index.xhtml#history">History of this software</a></li>
      <li><a href="index.xhtml#related">Related projects</a></li>
    </ul>
  </li>
  <li>&nbsp;</li>
  <li><a class="underlined" href="compile.xhtml">Compiling and installing the library</a></li>
  <li><a class="underlined" href="purec.xhtml">Math library reference</a></li>
  <li><a class="underlined" href="dft.xhtml">DFT library reference</a></li>
  <li><a class="underlined" href="misc.xhtml">Other tools included in the package</a></li>
  <li><a class="underlined" href="benchmark.xhtml">Benchmark results</a></li>
  <li><a class="underlined" href="additional.xhtml">Additional notes</a></li>
</ul>

<h2 id="overview">Overview</h2>

<p class="noindent">
  SLEEF stands for SIMD Library for Evaluating Elementary
  Functions. It implements vectorized versions of all C99 real
  floating point math functions. It can utilize SIMD instructions of
  modern processors. SLEEF is designed to fully utilize SIMD
  computation by reducing the use of conditional branches and
  scatter/gather memory access. Our <a class="underlined"
  href="benchmark.xhtml">benchmarks</a> show that the performance of
  SLEEF is comparable to that of the best commercial library. Unlike
  vendor-tuned libraries, SLEEF is portable : it can be easily ported
  to other architectures by writing a helper file, which is a thin
  abstraction layer of SIMD intrinsics. SLEEF is also designed to work
  with various operating systems and compilers.
</p>

<p>
  The library contains subroutines for all C99 real FP math functions
  in double precision and single precision. Different accuracy of the
  results can be chosen for a subset of the elementary functions; for
  this subset there are versions with up to 1 ulp error (which is the
  maximum error, not the average) and versions with a few ulp
  error. Obviously, less accurate versions are faster. For non-finite
  inputs and outputs, the library should return the same results as
  libm as specified in the C99 standard. The library is rigorously
  tested if the evaluation error is within the designed limit. The
  library is tested against high-precision evaluation
  using <a class="underlined" href="http://www.mpfr.org/">the libmpfr
  library</a>. Especially, we carefully checked the error of the
  trigonometric functions when the arguments are close to an integral
  multiple of <i class="math">&pi;</i>/2.
</p>

<p>
  SLEEF also includes subroutines for discrete Fourier
  transform(DFT). These subroutines are fully vectorized, heavily
  unrolled, and parallelized so that modern SIMD instructions and
  multiple cores can be utilized for efficient computation. It has
  an API similar to that of FFTW for easy migration, and distributed under 
  <a class="underlined"
  href="http://www.boost.org/users/license.html">BSL</a>, which is a
  permissive open source license. The subroutines can utilize long
  vectors up to 2048 bits, and even longer vectors can be utilized by
  a small modification. The helper files for abstracting SIMD
  intrinsics are shared with SLEEF libm, and thus it is easy to port
  DFT subroutines to other architectures. <a class="underlined"
  href="https://github.com/shibatch/sleef/wiki/DFT-Performance">Preliminary
  results of benchmark</a> are now available.
</p>

<h2 id="environment">Supported environments</h2>

<p class="noindent">
  This library currently supports several SIMD architectures :
</p>

<div><br/></div>

<ul class="disc">
  <li><a href="x86.xhtml">x86 - SSE2, SSE4.1, AVX, FMA4, AVX2+FMA3, AVX512F</a></li>
  <li><a href="aarch64.xhtml">AArch64 - Advanced SIMD, SVE</a></li>
  <li><a href="aarch32.xhtml">AArch32 - NEON</a></li>
  <li><a href="ppc64.xhtml">PowerPC64 - VSX</a></li>
</ul>

<div><br/></div>

<p>
  In addition to the SIMD implementation, Pure C (scalar) version is
  provided. For x86 architecture, the library provides dispatchers
  that automatically choose the best subroutines for the computer the
  library is run. The supported combinations of the architecture,
  operating system and compiler are shown in Table 1.1.
</p>

<div style="margin-top: 1.0cm;"></div>

<table style="text-align:center;" align="center">
  <tr align="center">
    <td class="caption">Table 1.1: Environment support matrix</td>
  </tr>
  <tr align="center">
    <td>
      <table class="lt">
        <tr>
          <td class="lt-hl"></td>
	  <td class="lt-hl"></td>
          <td class="lt-hl"></td>
          <td class="lt-hl"></td>
          <td class="lt-hl"></td>
          <td class="lt-hl"></td>
        </tr>
	<tr>
	  <td class="lt-br"></td>
	  <td class="lt-hl"></td>
	  <td class="lt-blr" align="center">GCC</td>
	  <td class="lt-br" align="center">Clang</td>
	  <td class="lt-br" align="center">Intel Compiler</td>
	  <td class="lt-b" align="center">MSVC</td>
	</tr>
        <tr>
          <td class="lt-hl"></td>
	  <td class="lt-hl"></td>
	  <td class="lt-hl"></td>
          <td class="lt-hl"></td>
          <td class="lt-hl"></td>
          <td class="lt-hl"></td>
        </tr>
	<tr>
	  <td class="lt-r" align="left">x86 (64bit), Linux</td>
	  <td></td>
	  <td class="lt-lr" align="center">Supported</td>
	  <td class="lt-r" align="center">Supported</td>
	  <td class="lt-r" align="center">Supported(*1)</td>
	  <td class="lt-" align="center">N/A</td>
	</tr>
	<tr>
	  <td class="lt-r" align="left">x86 (32bit), Linux</td>
	  <td></td>
	  <td class="lt-lr" align="center">Supported(*2)</td>
	  <td class="lt-r" align="center">Supported(*2)</td>
	  <td class="lt-r" align="center"></td>
	  <td class="lt-" align="center">N/A</td>
	</tr>
	<tr>
	  <td class="lt-r" align="left">AArch64, Linux</td>
	  <td></td>
	  <td class="lt-lr" align="center">Supported</td>
	  <td class="lt-r" align="center">Supported</td>
	  <td class="lt-r" align="center">N/A</td>
	  <td class="lt-" align="center">N/A</td>
	</tr>
	<tr>
	  <td class="lt-r" align="left">AArch32, Linux</td>
	  <td></td>
	  <td class="lt-lr" align="center">Supported(*3)</td>
	  <td class="lt-r" align="center">Supported(*3)</td>
	  <td class="lt-r" align="center">N/A</td>
	  <td class="lt-" align="center">N/A</td>
	</tr>
	<tr>
	  <td class="lt-r" align="left">PowerPC, Linux</td>
	  <td></td>
	  <td class="lt-lr" align="center"></td>
	  <td class="lt-r" align="center">Supported(*4)</td>
	  <td class="lt-r" align="center">N/A</td>
	  <td class="lt-" align="center">N/A</td>
	</tr>
	<tr>
	  <td class="lt-r" align="left">x86 (64bit), OS X</td>
	  <td></td>
	  <td class="lt-lr" align="center">Supported</td>
	  <td class="lt-r" align="center">Supported</td>
	  <td class="lt-r" align="center"></td>
	  <td class="lt-" align="center">N/A</td>
	</tr>
	<tr>
	  <td class="lt-br" align="left">x86 (64bit), Windows</td>
	  <td class="lt-hl"></td>
	  <td class="lt-blr" align="center">Supported(Cygwin)(*5)</td>
	  <td class="lt-br" align="center">Supported(Cygwin)(*5)</td>
	  <td class="lt-br" align="center"></td>
	  <td class="lt-b" align="center">Supported</td>
	</tr>
      </table>
    </td>
  </tr>
</table>

<div style="margin-top: 2.0cm;"></div>

<p>
  The supported compiler versions are as follows.
</p>

<div><br/></div>

<ul class="disc">
  <li>GCC : version 5 and later</li>
  <li>Clang : version 3.9 and later</li>
  <li>Intel Compiler : ICC version 17</li>
  <li>MSVC : Visual Studio 2017</li>
</ul>

<div><br/></div>

<p>
  *1 FMA4 is not supported by Intel Compiler.
</p>

<p>
  *2 SSE2 is required to run the scalar functions on 32-bit x86
  architecture. x87 is not supported.
</p>

<p>
  *3 NEON has only single precision support. The computation results
  are not in full accuracy since NEON is not IEEE 754-compliant.
</p>

<p>
  *4 Clang-5.0 and later are supported.
</p>

<p>
  *5 AVX functions are not supported for Cygwin, since AVX is not
  supported by Cygwin ABI.
</p>

<div style="margin-top: 1.0cm;"></div>

<p>
  All functions in the library are thread safe unless otherwise noted.
</p>
  

<h2 id="credit">Credit</h2>

<ul class="disc">
  <li>The main developer is <a class="underlined"
  href="https://github.com/shibatch">Naoki Shibata</a>
  ( <a href="mailto:shibatch@users.sourceforge.net">shibatch@users.sourceforge.net</a> )
  at Nara Institute of Science and Technology.</li>
  <li><a class="underlined"
  href="https://github.com/fpetrogalli-arm">Francesco Petrogalli</a>
  at ARM Ltd. contributed the helper for AArch64 (helperadvsimd.h,
  helpersve.h) and GNUABI interface of the library. He also worked on
  migrating the build system to cmake, and reviewed the code, gave
  precious comments and suggestions.</li>
  <li><a class="underlined" href="https://github.com/hfinkel">Hal Finkel</a> at Argonne
  Leadership Computing Facility is now working
  on <a class="underlined"
  href="https://reviews.llvm.org/D24951">importing and adapting SLEEF
  as an LLVM runtime</a>. He also gave precious comments.</li>
  <li><a class="underlined" href="https://github.com/diaena">Diana
  Bite</a> at University of Manchester and <a class="underlined"
  href="https://github.com/xoofx">Alexandre Mutel</a> at Unity
  Technologies worked on migrating the build system to
  cmake.</li>
  <li><a class="underlined" href="https://github.com/blu">Martin
  Krastev</a> at Chaos Group contributed faster implementation of fmin
  and fmax functions.</li>
</ul>

<h2 id="partners">Partner institutes and corporations</h2>

<table style="margin-top:1cm;">
  <tr><td>&nbsp;</td></tr>
  <tr>
    <td style="text-align:center;"><a href="https://www.naist.jp/en/"><img src="naistlogo.svg"
    height="135px" alt="NAIST logo"/></a></td>
    <td style="vertical-align: top;">
      <p class="noindent" style="margin-left:2em;">
The <a class="underlined" href="http://ito-lab.naist.jp/">Mobile
Computing Lab</a> at Division of Information Science of Nara Institute
of Science and Technology participates through Naoki Shibata.
      </p>
    </td>
  </tr>
  <tr><td>&nbsp;</td></tr>
  <tr><td>&nbsp;</td></tr>
  <tr><td>&nbsp;</td></tr>
  <tr>
    <td style="text-align:center;"><a href="https://www.arm.com/"><img src="https://sleef.org/Arm-logo-blue-pms313.svg" alt="ARM logo" 
    height="60px" /></a></td>
    <td style="vertical-align: top;">
      <p class="noindent" style="margin-left:2em;">
As the leading IP company in semiconductors
design, <a class="underlined" href="https://www.arm.com/">ARM</a>
participates through Francesco Petrogalli.
      </p>
    </td>
  </tr>
  <tr><td>&nbsp;</td></tr>
  <tr><td>&nbsp;</td></tr>
  <tr><td>&nbsp;</td></tr>
  <tr>
    <td style="text-align:center;"><a href="https://unity3d.com/"><img src="https://sleef.org/Unity_Technologies_logo.svg" alt="Unity Technologies logo" 
    height="92px" /></a></td>
    <td style="vertical-align: top;">
      <p class="noindent" style="margin-left:2em;">As the leading
company in developing a video game engine, <a class="underlined"
href="https://unity3d.com/">Unity Technologies</a> participates
through Alexandre Mutel.
      </p>
    </td>
  </tr>
  <tr><td>&nbsp;</td></tr>
</table>

<h2 id="license">License</h2>

<p class="noindent">
SLEEF is distributed under <a class="underlined"
href="http://www.boost.org/LICENSE_1_0.txt">Boost Software License
    Version 1.0</a>.
</p>

<p class="noindent" style="margin-top: 0.8cm;">
  <a class="nothing" href="https://opensource.org/">
    <img src="osi_logo.png" width="90" height="103" alt="open source logo" style="position:relative; top:3px;"/>
  </a>
&nbsp; Boost Software License is <a class="underlined"
href="https://opensource.org/licenses/BSL-1.0">OSI-certified</a>.
See <a class="underlined"
href="http://www.boost.org/users/license.html">this page</a> for more
information about Boost Software License.
</p>

<h2 id="history">History</h2>

<h4>3.3.1 (Released on Aug 21, 2018)</h4>
<ul class="disc">
  <li>i386 build problem is fixed</li>
  <li>FreeBSD support is added</li>
  <li>Trigonometric functions now evaluate correctly with full FP
  domain. (PR <a class="underlined"
  href="https://github.com/shibatch/sleef/pull/197">#210</a>)</li>
</ul>

<h4>3.3 (Released on July 6, 2018)</h4>
<ul class="disc">
  <li>AArch64 SVE target support is added (PR <a class="underlined"
  href="https://github.com/shibatch/sleef/pull/180">#180</a>, <a class="underlined"
  href="https://github.com/shibatch/sleef/pull/182">#182</a>)</li>
  <li>DFT is now faster (PR <a class="underlined"
  href="https://github.com/shibatch/sleef/pull/186">#186</a>)</li>
  <li>3.5-ULP hyperbolic functions are added (PR <a class="underlined"
  href="https://github.com/shibatch/sleef/pull/192">#192</a>)</li>
  <li>PowerPC VSX target support is added (PR <a class="underlined"
  href="https://github.com/shibatch/sleef/pull/195">#195</a>)</li>
  <li>Modified Payne-Hanek argument reduction is added to the
  trigonometric functions in libsleef (PR <a class="underlined"
  href="https://github.com/shibatch/sleef/pull/197">#197</a>)</li>
</ul>

<h4>3.2 (Released on Feb 26, 2018)</h4>
<ul class="disc">
  <li>The whole build system of the project migrated from makefiles to
  cmake. The makefile build system is now removed.</li>
  <li>GNUABI version of the library with compatibility tests is
  added.</li>
  <li>Benchmarks that compare `libsleef` vs `SVML` on X86 Linux are
  available in the project tree under src/libm-benchmarks
  directory.</li>
  <li>Extensive upstream testing via Travis CI and Appveyor</li>
  <li>log2 is added.</li>
  <li>The library can be compiled to an LLVM bitcode object</li>
  <li>Added masked interface to the library to support AVX512F masked
  vectorization.</li>
  <li>Use native instructions if available for `sqrt`.</li>
  <li>Removed `libm` dependency.</li>
  <li>fmod(FP remainder), asin, acos, log, pow, log10, exp2, exp10 and
  log1p functions are now faster.</li>
  <li>Fixed a bug that was making the error of sinpi, cospi, sincospi,
  and tgamma functions larger than the specifications on very rare
    occasions.</li>
  <li>Fixed a bug that was preventing the dispatcher from choosing the
  FMA4 implementation.</li>
</ul>

<h4>3.1 (Released on July 19, 2017)</h4>
<ul class="disc">
  <li>Added AArch64 support</li>
  <li>Implemented the remaining C99 math functions : lgamma, tgamma,
  erf, erfc, fabs, copysign, fmax, fmin, fdim, trunc, floor, ceil,
  round, rint, modf, ldexp, nextafter, frexp, hypot, and fmod.</li>
  <li>Added dispatcher for x86 functions</li>
  <li>Improved reduction of trigonometric functions</li>
  <li>Added support for 32-bit x86, Cygwin, etc.</li>
  <li>Improved tester</li>
  <li>Etc.</li>
</ul>

<h4>3.0 (Released on Feb. 7, 2017)</h4>
<ul class="disc">
  <li>New API is defined</li>
  <li>Functions for DFT are added</li>
  <li>sincospi functions are added</li>
  <li>gencoef now supports single, extended and quad precision in addition to double precision</li>
  <li>Linux, Windows and Mac OS X are supported</li>
  <li>GCC, Clang, Intel Compiler, Microsoft Visual C++ are supported</li>
  <li>The library can be compiled as DLLs</li>
  <li>Files needed for creating a debian package are now included</li>
</ul>

<h4>2.120 (Released on Jan. 30, 2017)</h4>
<ul class="disc">
  <li>Relicensed to Boost Software License Version 1.0</li>
</ul>

<h4>2.110 (Released on Dec. 11, 2016)</h4>
<ul class="disc">
  <li>The valid range of argument is extended for trig functions</li>
  <li>Specification of each functions regarding to the domain and accuracy is added</li>
  <li>A coefficient generation tool is added</li>
  <li>New testing tools are introduced</li>
  <li>Following functions returned incorrect values when the argument is very large or small : exp, pow, asinh, acosh</li>
  <li>SIMD xsin and xcos returned values more than 1 when FMA is enabled</li>
  <li>Pure C cbrt returned incorrect values when the argument is negative</li>
  <li>tan_u1 returned values with more than 1 ulp of error on rare occasions</li>
  <li>Removed support for Java language(because no one seems using this)</li>
</ul>

<h2 id="related">Related projects and links</h2>

<ul class="disc">
  <li>SLEEF is now included in <a class="underlined"
  href="https://developer.arm.com/products/software-development-tools/hpc/documentation/vector-math-routines">
  Arm Compiler for HPC</a>.</li>
  <li>Mustafa A. Mohamad is developing <a class="underlined"
  href="https://github.com/musm/SLEEF.jl">a pure Julia port of the
  SLEEF math library</a>.</li>
  <li>Hal Finkel has <a class="underlined"
  href="https://github.com/hfinkel/sleef-bgq">adapted SLEEF to
  PowerPC/QPX</a>. SLEEF is running on Mira IBM BG/Q supercomputer at
  Argonne National Laboratory.</li>
  <li>SLEEF is adopted in the following projects.
    <ul class="circle">
      <li><a href="http://www.menuetos.net/sc151.html">MenuetOS</a></li>
      <li><a href="https://github.com/Beep6581/RawTherapee/tree/dev/rtengine">RawTherapee</a></li>
      <li><a href="http://buraphakit.sourceforge.net/BASIC.shtml">John's ECMA-55 Minimal BASIC Compiler</a></li>
      <li><a href="https://github.com/pocl/pocl/tree/master/lib/kernel/sleef">Portable Computing Language(pocl)</a></li>
      <li><a href="https://github.com/pytorch/pytorch/pull/6725">PyTorch</a></li>
    </ul>
  </li>

  <li style="margin-top: 1em;"><a class="underlined"
  href="https://software.intel.com/en-us/node/524289">Intel Short
  Vector Math Library (SVML)</a> is a commercial library of vectorized
  math functions, which provides similar functionality to
  SLEEF. Recently, some of the codes are published as free software,
  and it is now <a class="underlined"
  href="https://sourceware.org/git/?p=glibc.git;a=tree;f=sysdeps/x86_64/fpu/multiarch">
  a part of glibc</a>.</li>
</ul>

<p class="footer">
  Copyright &copy; 2018 SLEEF Project.<br/>
  SLEEF is open-source software and is distributed under the Boost Software License, Version 1.0.
</p>

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