shared memory size per block: shared memory是以thread block为单位分配的,如果一个thread block占用的shared memory size越大,那能在一个SM上面同时保持active的thread block的数量就越少,如果单个thread block中的thread数量固定,那active warp的数量就越少。 thread block size:一个SM所能支持的thread block数量...
L2 Cache Size4096 KB6144 KB40960 KB Shared Memory Size / SM64 KBConfigurable up to 96 KBConfigurable up to 164 KB Register File Size / SM256 KB256 KB256 KB Register File Size / GPU14336 KB20480 KB27648 KB TDP300 Watts300 Watts400 Watts Transistors15.3 billion21.1 billion54.2 billion GPU...
10000;kernel_A<<<numBlocks,threadsPerBlock>>>(A,N,M);cudaFuncSetAttribute(kernel_B,cudaFuncAttributeMaxDynamicSharedMemorySize,48*1024);kernel_B<<<numBlocks,threadsPerBlock,48*1024>>>(A,N,M);kernel_C<<<numBlocks,threadsPerBlock>>>(A,B,N);cudaDeviceSynchronize();} 以上代码有三个kernel...
case cudaSharedMemBankSizeDefault: printf("bank size is default\n"); break; case cudaSharedMemBankSizeFourByte: printf("bank size is 4 byte\n"); break; case cudaSharedMemBankSizeEightByte: printf("bank size is 8 byte\n"); break; } return 0; } 1. 2. 3. 4. 5. 6. 7. 8. 9. ...
cudaOccupancyMaxPotentialBlockSizeVariableSMem cudaMemcpyAsyncNotes about all memcpy/memset functions: 1.Only async memcpy/set functions are supported 2.Only device-to-device memcpy is permitted 3.May not pass in local or shared memory pointers ...
Mainly, I’m wondering if this is the correct understanding on how to divvy up shared memory across thread blocks? Is there something else I should be considering? Thanks, Danielseibert 2010 年6 月 2 日 22:00 2 You are correct that the listed shared memory size is for the SM, which...
). No idea how to get that memory back without doing something unsupported and dangerous, like deliberately indexing a shared array of size (16 kB - 16 bytes) with a negative offset. While it would be interesting to know if that actually works, I wouldn’t base any real code on it. ...
本文介绍了Redis的共享内存实现原理，包括内存池、对象内存管理、共享内存的分配和回收、以及共享内存的生命...
# 4. 将输入数据值放入共享内存 shm_ip_handle = shm.create_shared_memory_region("input_data", "/input_simple", input_byte_size * 2) # 5. 将输入数据值放入共享内存 shm.set_shared_memory_region(shm_ip_handle, [input0_data]) shm.set_shared_memory_region(shm_ip_handle, [input1_data]...
1.4.1.2.Asynchronous Data Copy from Global Memory to Shared Memory The NVIDIA Ampere GPU architecture adds hardware acceleration for copying data from global memory to shared memory. These copy instructions are asynchronous, with respect to computation and allow users to explicitly control overlap ...