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<div class="category"><a href="index.html" title="CUDA Math API">CUDA Math API</a></div>
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<div class="section-link"><a href="modules.html#modules">1. Modules</a></div>
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<div class="section-link"><a href="group__CUDA__MATH.html#group__CUDA__MATH">1.1. Mathematical Functions</a></div>
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<div class="section-link"><a href="group__CUDA__MATH__SINGLE.html#group__CUDA__MATH__SINGLE">1.2. Single Precision Mathematical Functions</a></div>
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<div class="section-link"><a href="group__CUDA__MATH__DOUBLE.html#group__CUDA__MATH__DOUBLE">1.3. Double Precision Mathematical Functions</a></div>
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<div class="section-link"><a href="group__CUDA__MATH__INTRINSIC__SINGLE.html#group__CUDA__MATH__INTRINSIC__SINGLE">1.4. Single Precision Intrinsics</a></div>
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<div class="section-link"><a href="group__CUDA__MATH__INTRINSIC__DOUBLE.html#group__CUDA__MATH__INTRINSIC__DOUBLE">1.5. Double Precision Intrinsics</a></div>
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<div class="section-link"><a href="group__CUDA__MATH__INTRINSIC__CAST.html#group__CUDA__MATH__INTRINSIC__CAST">1.7. Type Casting Intrinsics</a></div>
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<div class="section-link"><a href="group__CUDA__MATH__INTRINSIC__SIMD.html#group__CUDA__MATH__INTRINSIC__SIMD">1.8. SIMD Intrinsics</a></div>
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<div class="topic reference apiRef apiPackage cppModule" id="group__CUDA__MATH__INTRINSIC__DOUBLE"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE" shape="rect">
<!-- --></a><h2 class="topictitle2 cppModule">1.5. Double Precision Intrinsics</h2>
<div class="section">
<p>This section describes double precision intrinsic functions that are only supported in device code. </p>
</div>
<h3 class="fake_sectiontitle member_header">Functions</h3>
<dl class="members">
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gd39098ab6fd26648cffe5db8e2a45158" shape="rect">__dadd_rd</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Add two floating point values in round-down mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g74f3cdb085ac807f35d429ab67aac193" shape="rect">__dadd_rn</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Add two floating point values in round-to-nearest-even mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g8ef4f73ad7b62ff2e288087e8eb47c35" shape="rect">__dadd_ru</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Add two floating point values in round-up mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gf520dfdc3b41b44681740296308e1ed1" shape="rect">__dadd_rz</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Add two floating point values in round-towards-zero mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g8a7184dfc723a76a91e7b087a2a0c494" shape="rect">__ddiv_rd</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Divide two floating point values in round-down mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gf22df51b72de1f50fdaa316a47ef2f63" shape="rect">__ddiv_rn</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Divide two floating point values in round-to-nearest-even mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1ga8b59c6371a7df3735434e313a765ae0" shape="rect">__ddiv_ru</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Divide two floating point values in round-up mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gbd0f67c5396419f266027fa5be66d5a1" shape="rect">__ddiv_rz</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Divide two floating point values in round-towards-zero mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g0721a748fb3f7a07b75e3ca80c6447e6" shape="rect">__dmul_rd</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Multiply two floating point values in round-down mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1ge77590b36e65f63b157db453ddb37e29" shape="rect">__dmul_rn</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Multiply two floating point values in round-to-nearest-even mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g339ea2648f77714c87123a9198c899d3" shape="rect">__dmul_ru</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Multiply two floating point values in round-up mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gdc7aed39944bdacd98df5f30f4918e00" shape="rect">__dmul_rz</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Multiply two floating point values in round-towards-zero mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g76b42ce1d523e8655454a061d0ed3728" shape="rect">__drcp_rd</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-down mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g36354399debeb6772d61a430dc2ba65e" shape="rect">__drcp_rn</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-to-nearest-even mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g4c05b47c04839e6ee616c84abe3264e1" shape="rect">__drcp_ru</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-up mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g036d4c6182e8d98a127e686b46af0d2a" shape="rect">__drcp_rz</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-towards-zero mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g30f36726737fda2d626c0c22119a9e46" shape="rect">__dsqrt_rd</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-down mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gfc059c9318903bb71b8af4c6c5c11cca" shape="rect">__dsqrt_rn</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-to-nearest-even mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gfc3365498bd0f2e3c92cca193b7bd636" shape="rect">__dsqrt_ru</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-up mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gff77be863e7bde0ce875ba0514a45f7c" shape="rect">__dsqrt_rz</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-towards-zero mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g33557b4e6079b7af6479f00bc967ff66" shape="rect">__dsub_rd</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Subtract two floating point values in round-down mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g169a4b29f0db2ca1eae3f94ab5953d91" shape="rect">__dsub_rn</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Subtract two floating point values in round-to-nearest-even mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gb07fbe4d4228acc3fe9366fb41cd7ea4" shape="rect">__dsub_ru</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Subtract two floating point values in round-up mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1ge3db86effaab85115908bfb7f43bce10" shape="rect">__dsub_rz</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Subtract two floating point values in round-towards-zero mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gcaa00a783aab97d687005b464bcc4b02" shape="rect">__fma_rd</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-down mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g57cb4940e3202c0e1302aa71703b7761" shape="rect">__fma_rn</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-to-nearest-even mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1gf4ac27af0c60df25d27c25bcab855a69" shape="rect">__fma_ru</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-up mode. </span></dd>
<dt><span class="member_type"><span class="keyword keyword apiItemName">__device__</span>
double </span><span class="member_name"><a href="#group__CUDA__MATH__INTRINSIC__DOUBLE_1g152174d74c12f3d5af74bbb18dd546bd" shape="rect">__fma_rz</a> ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="shortdesc"><span></span><span class="desc">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-towards-zero mode. </span></dd>
</dl>
<div class="description">
<h3 class="sectiontitle">Functions</h3>
<dl class="description">
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gd39098ab6fd26648cffe5db8e2a45158" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gd39098ab6fd26648cffe5db8e2a45158" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dadd_rd ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Add two floating point values in round-down mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> + <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Adds two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-down (to negative infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g74f3cdb085ac807f35d429ab67aac193" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g74f3cdb085ac807f35d429ab67aac193" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dadd_rn ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Add two floating point values in round-to-nearest-even mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> + <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Adds two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-to-nearest-even mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g8ef4f73ad7b62ff2e288087e8eb47c35" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g8ef4f73ad7b62ff2e288087e8eb47c35" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dadd_ru ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Add two floating point values in round-up mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> + <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Adds two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-up (to positive infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gf520dfdc3b41b44681740296308e1ed1" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gf520dfdc3b41b44681740296308e1ed1" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dadd_rz ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Add two floating point values in round-towards-zero mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> + <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Adds two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-towards-zero mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g8a7184dfc723a76a91e7b087a2a0c494" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g8a7184dfc723a76a91e7b087a2a0c494" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __ddiv_rd ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Divide two floating point values in round-down mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> / <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Divides two floating point values <tt class="ph tt code">x</tt> by <tt class="ph tt code">y</tt> in round-down (to negative infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gf22df51b72de1f50fdaa316a47ef2f63" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gf22df51b72de1f50fdaa316a47ef2f63" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __ddiv_rn ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Divide two floating point values in round-to-nearest-even mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> / <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Divides two floating point values <tt class="ph tt code">x</tt> by <tt class="ph tt code">y</tt> in round-to-nearest-even mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1ga8b59c6371a7df3735434e313a765ae0" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1ga8b59c6371a7df3735434e313a765ae0" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __ddiv_ru ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Divide two floating point values in round-up mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> / <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Divides two floating point values <tt class="ph tt code">x</tt> by <tt class="ph tt code">y</tt> in round-up (to positive infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gbd0f67c5396419f266027fa5be66d5a1" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gbd0f67c5396419f266027fa5be66d5a1" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __ddiv_rz ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Divide two floating point values in round-towards-zero mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> / <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Divides two floating point values <tt class="ph tt code">x</tt> by <tt class="ph tt code">y</tt> in round-towards-zero mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g0721a748fb3f7a07b75e3ca80c6447e6" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g0721a748fb3f7a07b75e3ca80c6447e6" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dmul_rd ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Multiply two floating point values in round-down mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> * <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Multiplies two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-down (to negative infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1ge77590b36e65f63b157db453ddb37e29" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1ge77590b36e65f63b157db453ddb37e29" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dmul_rn ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Multiply two floating point values in round-to-nearest-even mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> * <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Multiplies two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-to-nearest-even mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g339ea2648f77714c87123a9198c899d3" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g339ea2648f77714c87123a9198c899d3" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dmul_ru ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Multiply two floating point values in round-up mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> * <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Multiplies two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-up (to positive infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gdc7aed39944bdacd98df5f30f4918e00" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gdc7aed39944bdacd98df5f30f4918e00" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dmul_rz ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Multiply two floating point values in round-towards-zero mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> * <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Multiplies two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-towards-zero mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g76b42ce1d523e8655454a061d0ed3728" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g76b42ce1d523e8655454a061d0ed3728" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __drcp_rd ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-down mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the reciprocal of <tt class="ph tt code">x</tt> in round-down (to negative infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g36354399debeb6772d61a430dc2ba65e" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g36354399debeb6772d61a430dc2ba65e" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __drcp_rn ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-to-nearest-even mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the reciprocal of <tt class="ph tt code">x</tt> in round-to-nearest-even mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g4c05b47c04839e6ee616c84abe3264e1" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g4c05b47c04839e6ee616c84abe3264e1" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __drcp_ru ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-up mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the reciprocal of <tt class="ph tt code">x</tt> in round-up (to positive infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g036d4c6182e8d98a127e686b46af0d2a" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g036d4c6182e8d98a127e686b46af0d2a" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __drcp_rz ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
in round-towards-zero mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mfrac>
<mn>1</mn>
<mi>x</mi>
</mfrac>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the reciprocal of <tt class="ph tt code">x</tt> in round-towards-zero mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g30f36726737fda2d626c0c22119a9e46" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g30f36726737fda2d626c0c22119a9e46" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsqrt_rd ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-down mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the square root of <tt class="ph tt code">x</tt> in round-down (to negative infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gfc059c9318903bb71b8af4c6c5c11cca" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gfc059c9318903bb71b8af4c6c5c11cca" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsqrt_rn ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-to-nearest-even mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the square root of <tt class="ph tt code">x</tt> in round-to-nearest-even mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gfc3365498bd0f2e3c92cca193b7bd636" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gfc3365498bd0f2e3c92cca193b7bd636" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsqrt_ru ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-up mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the square root of <tt class="ph tt code">x</tt> in round-up (to positive infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gff77be863e7bde0ce875ba0514a45f7c" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gff77be863e7bde0ce875ba0514a45f7c" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsqrt_rz ( double <span> </span><span class="keyword keyword apiItemName">x</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
in round-towards-zero mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns
<math xmlns="http://www.w3.org/1998/Math/MathML">
<msqrt>
<mi>x</mi>
</msqrt>
</math>
.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Compute the square root of <tt class="ph tt code">x</tt> in round-towards-zero mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">Requires compute capability >= 2.0. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g33557b4e6079b7af6479f00bc967ff66" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g33557b4e6079b7af6479f00bc967ff66" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsub_rd ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Subtract two floating point values in round-down mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> - <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Subtracts two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-down (to negative infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g169a4b29f0db2ca1eae3f94ab5953d91" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g169a4b29f0db2ca1eae3f94ab5953d91" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsub_rn ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Subtract two floating point values in round-to-nearest-even mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> - <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Subtracts two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-to-nearest-even mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gb07fbe4d4228acc3fe9366fb41cd7ea4" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gb07fbe4d4228acc3fe9366fb41cd7ea4" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsub_ru ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Subtract two floating point values in round-up mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> - <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Subtracts two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-up (to positive infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1ge3db86effaab85115908bfb7f43bce10" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1ge3db86effaab85115908bfb7f43bce10" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __dsub_rz ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span> ) </span></dt>
<dd class="description">
<div class="section">Subtract two floating point values in round-towards-zero mode. </div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns <tt class="ph tt code">x</tt> - <tt class="ph tt code">y</tt>.
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Subtracts two floating point values <tt class="ph tt code">x</tt> and <tt class="ph tt code">y</tt> in round-towards-zero mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><ul class="ul">
<li class="li">
<p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</li>
<li class="li">
<p class="p">This operation will never be merged into a single multiply-add instruction. </p>
</li>
</ul>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gcaa00a783aab97d687005b464bcc4b02" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gcaa00a783aab97d687005b464bcc4b02" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __fma_rd ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-down mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns the rounded value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation.
<ul>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
</ul>
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Computes the value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single ternary operation, rounding the result once in round-down (to negative infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g57cb4940e3202c0e1302aa71703b7761" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g57cb4940e3202c0e1302aa71703b7761" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __fma_rn ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-to-nearest-even mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns the rounded value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation.
<ul>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
</ul>
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Computes the value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single ternary operation, rounding the result once in round-to-nearest-even mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1gf4ac27af0c60df25d27c25bcab855a69" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1gf4ac27af0c60df25d27c25bcab855a69" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __fma_ru ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-up mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns the rounded value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation.
<ul>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
</ul>
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Computes the value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single ternary operation, rounding the result once in round-up (to positive infinity) mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</div>
</p>
<p class="p"></p>
</div>
</dd>
<dt class="description"><a name="group__CUDA__MATH__INTRINSIC__DOUBLE_1g152174d74c12f3d5af74bbb18dd546bd" id="group__CUDA__MATH__INTRINSIC__DOUBLE_1g152174d74c12f3d5af74bbb18dd546bd" shape="rect">
<!-- --></a><span><span class="keyword keyword apiItemName">__device__</span>
double __fma_rz ( double <span> </span><span class="keyword keyword apiItemName">x</span>, double <span> </span><span class="keyword keyword apiItemName">y</span>, double <span> </span><span class="keyword keyword apiItemName">z</span> ) </span></dt>
<dd class="description">
<div class="section">Compute
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation in round-towards-zero mode.
</div>
<div class="section">
<h6 class="return_header">Returns</h6>
<p class="return">Returns the rounded value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single operation.
<ul>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mn>0</mn>
</math>
,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>±</mo>
<mi mathvariant="normal">∞</mi>
</math>
, <tt class="ph tt code">z</tt>) returns NaN.
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
<li>fmaf(<tt class="ph tt code">x</tt>, <tt class="ph tt code">y</tt>,
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>+</mo>
<mi mathvariant="normal">∞</mi>
</math>
) returns NaN if
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
</math>
is an exact
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mo>−</mo>
<mi mathvariant="normal">∞</mi>
</math>
</li>
</ul>
</p>
</div>
<div class="section">
<h6 class="description_header">Description</h6>
<p>Computes the value of
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>x</mi>
<mo>×</mo>
<mi>y</mi>
<mo>+</mo>
<mi>z</mi>
</math>
as a single ternary operation, rounding the result once in round-towards-zero mode.
</p>
<p class="p"></p>
<p class="p">
<div class="note note"><span class="notetitle">Note:</span><p class="p">For accuracy information for this function see the CUDA C Programming Guide, Appendix D.1, Table 7. </p>
</div>
</p>
<p class="p"></p>
</div>
</dd>
</dl>
</div>
</div>
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