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<title>NVIDIA CUDA Library: cuMemAllocPitch</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>
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<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>
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<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>
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<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>
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<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>
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<a class="anchor" name="gcbe9b033f6c4de80f63cc6e58ed9a45a"></a><!-- doxytag: member="cuda.h::cuMemAllocPitch" ref="gcbe9b033f6c4de80f63cc6e58ed9a45a" args="(CUdeviceptr *dptr, size_t *pPitch, size_t WidthInBytes, size_t Height, unsigned int ElementSizeBytes)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
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<td class="memname"><a class="el" href="group__CUDA__TYPES_g09da14df1a751dcbfeccb9cf0073d64c.html#g09da14df1a751dcbfeccb9cf0073d64c">CUresult</a> cuMemAllocPitch </td>
<td>(</td>
<td class="paramtype"><a class="el" href="group__CUDA__TYPES_g5e264ce2ad6a38761e7e04921ef771de.html#g5e264ce2ad6a38761e7e04921ef771de">CUdeviceptr</a> * </td>
<td class="paramname"> <em>dptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">size_t * </td>
<td class="paramname"> <em>pPitch</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">size_t </td>
<td class="paramname"> <em>WidthInBytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">size_t </td>
<td class="paramname"> <em>Height</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">unsigned int </td>
<td class="paramname"> <em>ElementSizeBytes</em></td><td> </td>
</tr>
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<td></td>
<td>)</td>
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<div class="memdoc">
<p>
Allocates at least <code>WidthInBytes</code> * <code>Height</code> bytes of linear memory on the device and returns in <code>*dptr</code> a pointer to the allocated memory. The function may pad the allocation to ensure that corresponding pointers in any given row will continue to meet the alignment requirements for coalescing as the address is updated from row to row. <code>ElementSizeBytes</code> specifies the size of the largest reads and writes that will be performed on the memory range. <code>ElementSizeBytes</code> may be 4, 8 or 16 (since coalesced memory transactions are not possible on other data sizes). If <code>ElementSizeBytes</code> is smaller than the actual read/write size of a kernel, the kernel will run correctly, but possibly at reduced speed. The pitch returned in <code>*pPitch</code> by <a class="el" href="group__CUDA__MEM_gcbe9b033f6c4de80f63cc6e58ed9a45a.html#gcbe9b033f6c4de80f63cc6e58ed9a45a" title="Allocates pitched device memory.">cuMemAllocPitch()</a> is the width in bytes of the allocation. The intended usage of pitch is as a separate parameter of the allocation, used to compute addresses within the 2D array. Given the row and column of an array element of type <b>T</b>, the address is computed as: <div class="fragment"><pre class="fragment"> T* pElement = (T*)((<span class="keywordtype">char</span>*)BaseAddress + Row * Pitch) + Column;
</pre></div><p>
The pitch returned by <a class="el" href="group__CUDA__MEM_gcbe9b033f6c4de80f63cc6e58ed9a45a.html#gcbe9b033f6c4de80f63cc6e58ed9a45a" title="Allocates pitched device memory.">cuMemAllocPitch()</a> is guaranteed to work with <a class="el" href="group__CUDA__MEM_g27f885b30c34cc20a663a671dbf6fc27.html#g27f885b30c34cc20a663a671dbf6fc27" title="Copies memory for 2D arrays.">cuMemcpy2D()</a> under all circumstances. For allocations of 2D arrays, it is recommended that programmers consider performing pitch allocations using <a class="el" href="group__CUDA__MEM_gcbe9b033f6c4de80f63cc6e58ed9a45a.html#gcbe9b033f6c4de80f63cc6e58ed9a45a" title="Allocates pitched device memory.">cuMemAllocPitch()</a>. Due to alignment restrictions in the hardware, this is especially true if the application will be performing 2D memory copies between different regions of device memory (whether linear memory or CUDA arrays).<p>
The byte alignment of the pitch returned by <a class="el" href="group__CUDA__MEM_gcbe9b033f6c4de80f63cc6e58ed9a45a.html#gcbe9b033f6c4de80f63cc6e58ed9a45a" title="Allocates pitched device memory.">cuMemAllocPitch()</a> is guaranteed to match or exceed the alignment requirement for texture binding with <a class="el" href="group__CUDA__TEXREF_g26f709bbe10516681913d1ffe8756ee2.html#g26f709bbe10516681913d1ffe8756ee2" title="Binds an address as a 2D texture reference.">cuTexRefSetAddress2D()</a>.<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>dptr</em> </td><td>- Returned device pointer </td></tr>
<tr><td valign="top"></td><td valign="top"><em>pPitch</em> </td><td>- Returned pitch of allocation in bytes </td></tr>
<tr><td valign="top"></td><td valign="top"><em>WidthInBytes</em> </td><td>- Requested allocation width in bytes </td></tr>
<tr><td valign="top"></td><td valign="top"><em>Height</em> </td><td>- Requested allocation height in rows </td></tr>
<tr><td valign="top"></td><td valign="top"><em>ElementSizeBytes</em> </td><td>- Size of largest reads/writes for range</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_gdd8311286d2c2691605362c689bc64e0.html#gdd8311286d2c2691605362c689bc64e0" title="Allocates page-locked host memory.">cuMemAllocHost</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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