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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>
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<tr><td class="navtab"><a class="qindex" href="group__CUDA__MEM_g982878affbbc023de84874faac838b0b.html#g982878affbbc023de84874faac838b0b">cuArrayDestroy</a></td></tr>
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<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="qindex" 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="qindexHL" 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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<td valign="top">
<a class="anchor" name="ge1f5c7771544fee150ada8853c7cbf4a"></a><!-- doxytag: member="cuda.h::cuMemcpyPeer" ref="ge1f5c7771544fee150ada8853c7cbf4a" args="(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="group__CUDA__TYPES_g09da14df1a751dcbfeccb9cf0073d64c.html#g09da14df1a751dcbfeccb9cf0073d64c">CUresult</a> cuMemcpyPeer </td>
<td>(</td>
<td class="paramtype"><a class="el" href="group__CUDA__TYPES_g5e264ce2ad6a38761e7e04921ef771de.html#g5e264ce2ad6a38761e7e04921ef771de">CUdeviceptr</a> </td>
<td class="paramname"> <em>dstDevice</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="group__CUDA__TYPES_gf9f5bd81658f866613785b3a0bb7d7d9.html#gf9f5bd81658f866613785b3a0bb7d7d9">CUcontext</a> </td>
<td class="paramname"> <em>dstContext</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="group__CUDA__TYPES_g5e264ce2ad6a38761e7e04921ef771de.html#g5e264ce2ad6a38761e7e04921ef771de">CUdeviceptr</a> </td>
<td class="paramname"> <em>srcDevice</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="group__CUDA__TYPES_gf9f5bd81658f866613785b3a0bb7d7d9.html#gf9f5bd81658f866613785b3a0bb7d7d9">CUcontext</a> </td>
<td class="paramname"> <em>srcContext</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">size_t </td>
<td class="paramname"> <em>ByteCount</em></td><td> </td>
</tr>
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<td></td>
<td>)</td>
<td></td><td></td><td></td>
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<div class="memdoc">
<p>
Copies from device memory in one context to device memory in another context. <code>dstDevice</code> is the base device pointer of the destination memory and <code>dstContext</code> is the destination context. <code>srcDevice</code> is the base device pointer of the source memory and <code>srcContext</code> is the source pointer. <code>ByteCount</code> specifies the number of bytes to copy.<p>
Note that this function is asynchronous with respect to the host, but serialized with respect all pending and future asynchronous work in to the current context, <code>srcContext</code>, and <code>dstContext</code> (use <a class="el" href="group__CUDA__MEM_g82fcecb38018e64b98616a8ac30112f2.html#g82fcecb38018e64b98616a8ac30112f2" title="Copies device memory between two contexts asynchronously.">cuMemcpyPeerAsync</a> to avoid this synchronization).<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>dstDevice</em> </td><td>- Destination device pointer </td></tr>
<tr><td valign="top"></td><td valign="top"><em>dstContext</em> </td><td>- Destination context </td></tr>
<tr><td valign="top"></td><td valign="top"><em>srcDevice</em> </td><td>- Source device pointer </td></tr>
<tr><td valign="top"></td><td valign="top"><em>srcContext</em> </td><td>- Source context </td></tr>
<tr><td valign="top"></td><td valign="top"><em>ByteCount</em> </td><td>- Size of memory copy 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> </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_g1725774abf8b51b91945f3336b778c8b.html#g1725774abf8b51b91945f3336b778c8b" title="Copies memory from Device to Device.">cuMemcpyDtoD</a>, <a class="el" href="group__CUDA__MEM_g11466fd70cde9329a4e16eb1f258c433.html#g11466fd70cde9329a4e16eb1f258c433" title="Copies memory between contexts.">cuMemcpy3DPeer</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_g82fcecb38018e64b98616a8ac30112f2.html#g82fcecb38018e64b98616a8ac30112f2" title="Copies device memory between two contexts asynchronously.">cuMemcpyPeerAsync</a>, <a class="el" href="group__CUDA__MEM_gc4e4bfd9f627d3aa3695979e058f1bb8.html#gc4e4bfd9f627d3aa3695979e058f1bb8" title="Copies memory between contexts asynchronously.">cuMemcpy3DPeerAsync</a> </dd></dl>
</div>
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