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<title>NVIDIA CUDA Library: cuMemAllocHost</title>
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<div class="navpath"><a class="el" href="group__CUDA__MEM.html">Memory Management</a>
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<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gc2322c70b38c2984536c90ed118bb1d7.html#gc2322c70b38c2984536c90ed118bb1d7">cuArray3DCreate</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gb58549f2f3f390b9e0e7c8f3acd53857.html#gb58549f2f3f390b9e0e7c8f3acd53857">cuArray3DGetDescriptor</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g4192ff387a81c3bd5ed8c391ed62ca24.html#g4192ff387a81c3bd5ed8c391ed62ca24">cuArrayCreate</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g982878affbbc023de84874faac838b0b.html#g982878affbbc023de84874faac838b0b">cuArrayDestroy</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g661fe823dbd37bf11f82a71bd4762acf.html#g661fe823dbd37bf11f82a71bd4762acf">cuArrayGetDescriptor</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g7e0bf2261bb1f21743818d3a287ce9cb.html#g7e0bf2261bb1f21743818d3a287ce9cb">cuDeviceGetByPCIBusId</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g85295e7d9745ab8f0aa80dd1e172acfc.html#g85295e7d9745ab8f0aa80dd1e172acfc">cuDeviceGetPCIBusId</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gd6f5d5bcf6376c6853b64635b0157b9e.html#gd6f5d5bcf6376c6853b64635b0157b9e">cuIpcCloseMemHandle</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gea02eadd12483de5305878b13288a86c.html#gea02eadd12483de5305878b13288a86c">cuIpcGetEventHandle</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g6f1b5be767b275f016523b2ac49ebec1.html#g6f1b5be767b275f016523b2ac49ebec1">cuIpcGetMemHandle</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gf1d525918b6c643b99ca8c8e42e36c2e.html#gf1d525918b6c643b99ca8c8e42e36c2e">cuIpcOpenEventHandle</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_ga8bd126fcff919a0c996b7640f197b79.html#ga8bd126fcff919a0c996b7640f197b79">cuIpcOpenMemHandle</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gb82d2a09844a58dd9e744dc31e8aa467.html#gb82d2a09844a58dd9e744dc31e8aa467">cuMemAlloc</a></td></tr>
<tr><td class="navtab"><a class="qindexHL" href="group__CUDA__MEM_gdd8311286d2c2691605362c689bc64e0.html#gdd8311286d2c2691605362c689bc64e0">cuMemAllocHost</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gcbe9b033f6c4de80f63cc6e58ed9a45a.html#gcbe9b033f6c4de80f63cc6e58ed9a45a">cuMemAllocPitch</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g8d0ff510f26d4b87bd3a51e731e7f698.html#g8d0ff510f26d4b87bd3a51e731e7f698">cuMemcpy</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g27f885b30c34cc20a663a671dbf6fc27.html#g27f885b30c34cc20a663a671dbf6fc27">cuMemcpy2D</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g4acf155faeb969d9d21f5433d3d0f274.html#g4acf155faeb969d9d21f5433d3d0f274">cuMemcpy2DAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g2fa285d47fd7020e596bfeab3deb651b.html#g2fa285d47fd7020e596bfeab3deb651b">cuMemcpy2DUnaligned</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g4b5238975579f002c0199a3800ca44df.html#g4b5238975579f002c0199a3800ca44df">cuMemcpy3D</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g79f4f3fde6ae0f529568d881d9e11987.html#g79f4f3fde6ae0f529568d881d9e11987">cuMemcpy3DAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g11466fd70cde9329a4e16eb1f258c433.html#g11466fd70cde9329a4e16eb1f258c433">cuMemcpy3DPeer</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gc4e4bfd9f627d3aa3695979e058f1bb8.html#gc4e4bfd9f627d3aa3695979e058f1bb8">cuMemcpy3DPeerAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g5f26aaf5582ade791e5688727a178d78.html#g5f26aaf5582ade791e5688727a178d78">cuMemcpyAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gf81b218c984a31436ec9e23a85fb604a.html#gf81b218c984a31436ec9e23a85fb604a">cuMemcpyAtoA</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g825b3f037f7f51382cae991bae8173fd.html#g825b3f037f7f51382cae991bae8173fd">cuMemcpyAtoD</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gf7ad1edb2539cccc352c6b8b76f657f4.html#gf7ad1edb2539cccc352c6b8b76f657f4">cuMemcpyAtoH</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g64cbd2e60436699aebdd0bdbf14d0f01.html#g64cbd2e60436699aebdd0bdbf14d0f01">cuMemcpyAtoHAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gad6827247af91600b56ce6e2ddb802e1.html#gad6827247af91600b56ce6e2ddb802e1">cuMemcpyDtoA</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g1725774abf8b51b91945f3336b778c8b.html#g1725774abf8b51b91945f3336b778c8b">cuMemcpyDtoD</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g39ea09ba682b8eccc9c3e0c04319b5c8.html#g39ea09ba682b8eccc9c3e0c04319b5c8">cuMemcpyDtoDAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g3480368ee0208a98f75019c9a8450893.html#g3480368ee0208a98f75019c9a8450893">cuMemcpyDtoH</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g56f30236c7c5247f8e061b59d3268362.html#g56f30236c7c5247f8e061b59d3268362">cuMemcpyDtoHAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g57d3d780d165ecc0e3b3ce08e141cd89.html#g57d3d780d165ecc0e3b3ce08e141cd89">cuMemcpyHtoA</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gb5c4863f64f132b4bc2661818b3fd188.html#gb5c4863f64f132b4bc2661818b3fd188">cuMemcpyHtoAAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g4d32266788c440b0220b1a9ba5795169.html#g4d32266788c440b0220b1a9ba5795169">cuMemcpyHtoD</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g1572263fe2597d7ba4f6964597a354a3.html#g1572263fe2597d7ba4f6964597a354a3">cuMemcpyHtoDAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_ge1f5c7771544fee150ada8853c7cbf4a.html#ge1f5c7771544fee150ada8853c7cbf4a">cuMemcpyPeer</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g82fcecb38018e64b98616a8ac30112f2.html#g82fcecb38018e64b98616a8ac30112f2">cuMemcpyPeerAsync</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g89b3f154e17cc89b6eea277dbdf5c93a.html#g89b3f154e17cc89b6eea277dbdf5c93a">cuMemFree</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g62e0fdbe181dab6b1c90fa1a51c7b92c.html#g62e0fdbe181dab6b1c90fa1a51c7b92c">cuMemFreeHost</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g64fee5711274a2a0573a789c94d8299b.html#g64fee5711274a2a0573a789c94d8299b">cuMemGetAddressRange</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g808f555540d0143a331cc42aa98835c0.html#g808f555540d0143a331cc42aa98835c0">cuMemGetInfo</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g572ca4011bfcb25034888a14d4e035b9.html#g572ca4011bfcb25034888a14d4e035b9">cuMemHostAlloc</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g57a39e5cba26af4d06be67fc77cc62f0.html#g57a39e5cba26af4d06be67fc77cc62f0">cuMemHostGetDevicePointer</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g42066246915fcb0400df2a17a851b35f.html#g42066246915fcb0400df2a17a851b35f">cuMemHostGetFlags</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gf0a9fe11544326dabd743b7aa6b54223.html#gf0a9fe11544326dabd743b7aa6b54223">cuMemHostRegister</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g63f450c8125359be87b7623b1c0b2a14.html#g63f450c8125359be87b7623b1c0b2a14">cuMemHostUnregister</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g7d805e610054392a4d11e8a8bf5eb35c.html#g7d805e610054392a4d11e8a8bf5eb35c">cuMemsetD16</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gf731438877dd8ec875e4c43d848c878c.html#gf731438877dd8ec875e4c43d848c878c">cuMemsetD16Async</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g7f561a15a66144fa9f6ab5350edc8a30.html#g7f561a15a66144fa9f6ab5350edc8a30">cuMemsetD2D16</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g64ee197befac3d74d9fefedcf6ef6b10.html#g64ee197befac3d74d9fefedcf6ef6b10">cuMemsetD2D16Async</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g74b359b2d026bfeb7c795b5038d07523.html#g74b359b2d026bfeb7c795b5038d07523">cuMemsetD2D32</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g8a78d3147ac93fac955052c815d9ea3c.html#g8a78d3147ac93fac955052c815d9ea3c">cuMemsetD2D32Async</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_ge88b13e646e2be6ba0e0475ef5205974.html#ge88b13e646e2be6ba0e0475ef5205974">cuMemsetD2D8</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g3f7b6924a3e49c3265b328f534102e97.html#g3f7b6924a3e49c3265b328f534102e97">cuMemsetD2D8Async</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g983e8d8759acd1b64326317481fbf132.html#g983e8d8759acd1b64326317481fbf132">cuMemsetD32</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g58229da5d30f1c0cdf667b320ec2c0f5.html#g58229da5d30f1c0cdf667b320ec2c0f5">cuMemsetD32Async</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g6e582bf866e9e2fb014297bfaf354d7b.html#g6e582bf866e9e2fb014297bfaf354d7b">cuMemsetD8</a></td></tr>
<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_gaef08a7ccd61112f94e82f2b30d43627.html#gaef08a7ccd61112f94e82f2b30d43627">cuMemsetD8Async</a></td></tr>
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<a class="anchor" name="gdd8311286d2c2691605362c689bc64e0"></a><!-- doxytag: member="cuda.h::cuMemAllocHost" ref="gdd8311286d2c2691605362c689bc64e0" args="(void **pp, size_t bytesize)" -->
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<td class="memname"><a class="el" href="group__CUDA__TYPES_g09da14df1a751dcbfeccb9cf0073d64c.html#g09da14df1a751dcbfeccb9cf0073d64c">CUresult</a> cuMemAllocHost </td>
<td>(</td>
<td class="paramtype">void ** </td>
<td class="paramname"> <em>pp</em>, </td>
</tr>
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<td class="paramkey"></td>
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<td class="paramtype">size_t </td>
<td class="paramname"> <em>bytesize</em></td><td> </td>
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<p>
Allocates <code>bytesize</code> bytes of host memory that is page-locked and accessible to the device. The driver tracks the virtual memory ranges allocated with this function and automatically accelerates calls to functions such as <a class="el" href="group__CUDA__MEM_g8d0ff510f26d4b87bd3a51e731e7f698.html#g8d0ff510f26d4b87bd3a51e731e7f698" title="Copies memory.">cuMemcpy()</a>. Since the memory can be accessed directly by the device, it can be read or written with much higher bandwidth than pageable memory obtained with functions such as malloc(). Allocating excessive amounts of memory with <a class="el" href="group__CUDA__MEM_gdd8311286d2c2691605362c689bc64e0.html#gdd8311286d2c2691605362c689bc64e0" title="Allocates page-locked host memory.">cuMemAllocHost()</a> may degrade system performance, since it reduces the amount of memory available to the system for paging. As a result, this function is best used sparingly to allocate staging areas for data exchange between host and device.<p>
Note all host memory allocated using <a class="el" href="group__CUDA__MEM_g572ca4011bfcb25034888a14d4e035b9.html#g572ca4011bfcb25034888a14d4e035b9" title="Allocates page-locked host memory.">cuMemHostAlloc()</a> will automatically be immediately accessible to all contexts on all devices which support unified addressing (as may be queried using <a class="el" href="group__CUDA__TYPES_g3b9f561d2a42733dde99b2cedcaa413a.html#gg3b9f561d2a42733dde99b2cedcaa413adc11dd6d9f149a7bae32499f2b802c0d">CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING</a>). The device pointer that may be used to access this host memory from those contexts is always equal to the returned host pointer <code>*pp</code>. See <a class="el" href="group__CUDA__UNIFIED.html">Unified Addressing</a> for additional details.<p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>pp</em> </td><td>- Returned host pointer to page-locked memory </td></tr>
<tr><td valign="top"></td><td valign="top"><em>bytesize</em> </td><td>- Requested allocation size in bytes</td></tr>
</table>
</dl>
<dl class="return" compact><dt><b>Returns:</b></dt><dd><a class="el" href="group__CUDA__TYPES_g0cdead942fd5028d157641eef6bdeeaa.html#gg0cdead942fd5028d157641eef6bdeeaaa0eed720f8a87cd1c5fd1c453bc7a03d">CUDA_SUCCESS</a>, <a class="el" href="group__CUDA__TYPES_g0cdead942fd5028d157641eef6bdeeaa.html#gg0cdead942fd5028d157641eef6bdeeaaacf52f132faf29b473cdda6061f0f44a">CUDA_ERROR_DEINITIALIZED</a>, <a class="el" href="group__CUDA__TYPES_g0cdead942fd5028d157641eef6bdeeaa.html#gg0cdead942fd5028d157641eef6bdeeaa8feb999f0af99b4a25ab26b3866f4df8">CUDA_ERROR_NOT_INITIALIZED</a>, <a class="el" href="group__CUDA__TYPES_g0cdead942fd5028d157641eef6bdeeaa.html#gg0cdead942fd5028d157641eef6bdeeaaa484e9af32c1e9893ff21f0e0191a12d">CUDA_ERROR_INVALID_CONTEXT</a>, <a class="el" href="group__CUDA__TYPES_g0cdead942fd5028d157641eef6bdeeaa.html#gg0cdead942fd5028d157641eef6bdeeaa90696c86fcee1f536a1ec7d25867feeb">CUDA_ERROR_INVALID_VALUE</a>, <a class="el" href="group__CUDA__TYPES_g0cdead942fd5028d157641eef6bdeeaa.html#gg0cdead942fd5028d157641eef6bdeeaa264c50688ed110e8476b591befe60c02">CUDA_ERROR_OUT_OF_MEMORY</a> </dd></dl>
<dl class="note" compact><dt><b>Note:</b></dt><dd>Note that this function may also return error codes from previous, asynchronous launches.</dd></dl>
<dl class="see" compact><dt><b>See also:</b></dt><dd><a class="el" href="group__CUDA__MEM_gc2322c70b38c2984536c90ed118bb1d7.html#gc2322c70b38c2984536c90ed118bb1d7" title="Creates a 3D CUDA array.">cuArray3DCreate</a>, <a class="el" href="group__CUDA__MEM_gb58549f2f3f390b9e0e7c8f3acd53857.html#gb58549f2f3f390b9e0e7c8f3acd53857" title="Get a 3D CUDA array descriptor.">cuArray3DGetDescriptor</a>, <a class="el" href="group__CUDA__MEM_g4192ff387a81c3bd5ed8c391ed62ca24.html#g4192ff387a81c3bd5ed8c391ed62ca24" title="Creates a 1D or 2D CUDA array.">cuArrayCreate</a>, <a class="el" href="group__CUDA__MEM_g982878affbbc023de84874faac838b0b.html#g982878affbbc023de84874faac838b0b" title="Destroys a CUDA array.">cuArrayDestroy</a>, <a class="el" href="group__CUDA__MEM_g661fe823dbd37bf11f82a71bd4762acf.html#g661fe823dbd37bf11f82a71bd4762acf" title="Get a 1D or 2D CUDA array descriptor.">cuArrayGetDescriptor</a>, <a class="el" href="group__CUDA__MEM_gb82d2a09844a58dd9e744dc31e8aa467.html#gb82d2a09844a58dd9e744dc31e8aa467" title="Allocates device memory.">cuMemAlloc</a>, <a class="el" href="group__CUDA__MEM_gcbe9b033f6c4de80f63cc6e58ed9a45a.html#gcbe9b033f6c4de80f63cc6e58ed9a45a" title="Allocates pitched device memory.">cuMemAllocPitch</a>, <a class="el" href="group__CUDA__MEM_g27f885b30c34cc20a663a671dbf6fc27.html#g27f885b30c34cc20a663a671dbf6fc27" title="Copies memory for 2D arrays.">cuMemcpy2D</a>, <a class="el" href="group__CUDA__MEM_g4acf155faeb969d9d21f5433d3d0f274.html#g4acf155faeb969d9d21f5433d3d0f274" title="Copies memory for 2D arrays.">cuMemcpy2DAsync</a>, <a class="el" href="group__CUDA__MEM_g2fa285d47fd7020e596bfeab3deb651b.html#g2fa285d47fd7020e596bfeab3deb651b" title="Copies memory for 2D arrays.">cuMemcpy2DUnaligned</a>, <a class="el" href="group__CUDA__MEM_g4b5238975579f002c0199a3800ca44df.html#g4b5238975579f002c0199a3800ca44df" title="Copies memory for 3D arrays.">cuMemcpy3D</a>, <a class="el" href="group__CUDA__MEM_g79f4f3fde6ae0f529568d881d9e11987.html#g79f4f3fde6ae0f529568d881d9e11987" title="Copies memory for 3D arrays.">cuMemcpy3DAsync</a>, <a class="el" href="group__CUDA__MEM_gf81b218c984a31436ec9e23a85fb604a.html#gf81b218c984a31436ec9e23a85fb604a" title="Copies memory from Array to Array.">cuMemcpyAtoA</a>, <a class="el" href="group__CUDA__MEM_g825b3f037f7f51382cae991bae8173fd.html#g825b3f037f7f51382cae991bae8173fd" title="Copies memory from Array to Device.">cuMemcpyAtoD</a>, <a class="el" href="group__CUDA__MEM_gf7ad1edb2539cccc352c6b8b76f657f4.html#gf7ad1edb2539cccc352c6b8b76f657f4" title="Copies memory from Array to Host.">cuMemcpyAtoH</a>, <a class="el" href="group__CUDA__MEM_g64cbd2e60436699aebdd0bdbf14d0f01.html#g64cbd2e60436699aebdd0bdbf14d0f01" title="Copies memory from Array to Host.">cuMemcpyAtoHAsync</a>, <a class="el" href="group__CUDA__MEM_gad6827247af91600b56ce6e2ddb802e1.html#gad6827247af91600b56ce6e2ddb802e1" title="Copies memory from Device to Array.">cuMemcpyDtoA</a>, <a class="el" href="group__CUDA__MEM_g1725774abf8b51b91945f3336b778c8b.html#g1725774abf8b51b91945f3336b778c8b" title="Copies memory from Device to Device.">cuMemcpyDtoD</a>, <a class="el" href="group__CUDA__MEM_g39ea09ba682b8eccc9c3e0c04319b5c8.html#g39ea09ba682b8eccc9c3e0c04319b5c8" title="Copies memory from Device to Device.">cuMemcpyDtoDAsync</a>, <a class="el" href="group__CUDA__MEM_g3480368ee0208a98f75019c9a8450893.html#g3480368ee0208a98f75019c9a8450893" title="Copies memory from Device to Host.">cuMemcpyDtoH</a>, <a class="el" href="group__CUDA__MEM_g56f30236c7c5247f8e061b59d3268362.html#g56f30236c7c5247f8e061b59d3268362" title="Copies memory from Device to Host.">cuMemcpyDtoHAsync</a>, <a class="el" href="group__CUDA__MEM_g57d3d780d165ecc0e3b3ce08e141cd89.html#g57d3d780d165ecc0e3b3ce08e141cd89" title="Copies memory from Host to Array.">cuMemcpyHtoA</a>, <a class="el" href="group__CUDA__MEM_gb5c4863f64f132b4bc2661818b3fd188.html#gb5c4863f64f132b4bc2661818b3fd188" title="Copies memory from Host to Array.">cuMemcpyHtoAAsync</a>, <a class="el" href="group__CUDA__MEM_g4d32266788c440b0220b1a9ba5795169.html#g4d32266788c440b0220b1a9ba5795169" title="Copies memory from Host to Device.">cuMemcpyHtoD</a>, <a class="el" href="group__CUDA__MEM_g1572263fe2597d7ba4f6964597a354a3.html#g1572263fe2597d7ba4f6964597a354a3" title="Copies memory from Host to Device.">cuMemcpyHtoDAsync</a>, <a class="el" href="group__CUDA__MEM_g89b3f154e17cc89b6eea277dbdf5c93a.html#g89b3f154e17cc89b6eea277dbdf5c93a" title="Frees device memory.">cuMemFree</a>, <a class="el" href="group__CUDA__MEM_g62e0fdbe181dab6b1c90fa1a51c7b92c.html#g62e0fdbe181dab6b1c90fa1a51c7b92c" title="Frees page-locked host memory.">cuMemFreeHost</a>, <a class="el" href="group__CUDA__MEM_g64fee5711274a2a0573a789c94d8299b.html#g64fee5711274a2a0573a789c94d8299b" title="Get information on memory allocations.">cuMemGetAddressRange</a>, <a class="el" href="group__CUDA__MEM_g808f555540d0143a331cc42aa98835c0.html#g808f555540d0143a331cc42aa98835c0" title="Gets free and total memory.">cuMemGetInfo</a>, <a class="el" href="group__CUDA__MEM_g572ca4011bfcb25034888a14d4e035b9.html#g572ca4011bfcb25034888a14d4e035b9" title="Allocates page-locked host memory.">cuMemHostAlloc</a>, <a class="el" href="group__CUDA__MEM_g57a39e5cba26af4d06be67fc77cc62f0.html#g57a39e5cba26af4d06be67fc77cc62f0" title="Passes back device pointer of mapped pinned memory.">cuMemHostGetDevicePointer</a>, <a class="el" href="group__CUDA__MEM_ge88b13e646e2be6ba0e0475ef5205974.html#ge88b13e646e2be6ba0e0475ef5205974" title="Initializes device memory.">cuMemsetD2D8</a>, <a class="el" href="group__CUDA__MEM_g7f561a15a66144fa9f6ab5350edc8a30.html#g7f561a15a66144fa9f6ab5350edc8a30" title="Initializes device memory.">cuMemsetD2D16</a>, <a class="el" href="group__CUDA__MEM_g74b359b2d026bfeb7c795b5038d07523.html#g74b359b2d026bfeb7c795b5038d07523" title="Initializes device memory.">cuMemsetD2D32</a>, <a class="el" href="group__CUDA__MEM_g6e582bf866e9e2fb014297bfaf354d7b.html#g6e582bf866e9e2fb014297bfaf354d7b" title="Initializes device memory.">cuMemsetD8</a>, <a class="el" href="group__CUDA__MEM_g7d805e610054392a4d11e8a8bf5eb35c.html#g7d805e610054392a4d11e8a8bf5eb35c" title="Initializes device memory.">cuMemsetD16</a>, <a class="el" href="group__CUDA__MEM_g983e8d8759acd1b64326317481fbf132.html#g983e8d8759acd1b64326317481fbf132" title="Initializes device memory.">cuMemsetD32</a> </dd></dl>
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