文章结构方面,首先介绍了NVidia GPU上的计算单元和存储存储,然后介绍了Cache和Shared Memory机构,再后介绍了Load和Cache相关的指令已经一些特殊的Cache和预取行为,最后对文章进行了总结。 NVidia GPU的计算单元和存储层级 GPU是一个高度并行的设备,其上装配了大量的计算单元,为了更好的组织这些计算单元,更充分的利用数据...
影响Theoretical Occupancy的因素不止有register数量,还包括一个thread block占用的shared memory size和thread block的size。下面分别做解释[18]: 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 bl...
Physical Address Memory Allocation Prefetch Memory Region Query GID Attributes Raw Ethernet Registration and Re-registration of Memory Region (MR) Resource Domain RoCE Time-Stamping Shared Memory Region Tag Matching TCP Segmentation Offload (TSO)
Kernel: setColReadCol(int*) 1 shared_load_transactions_per_request Shared Memory Load Transactions Per Request 16.000000 16.000000 16.000000 1 shared_store_transactions_per_request Shared Memory Store Transactions Per Request 16.000000 16.000000 16.000000 Kernel: setRowReadRow(int*) 1 shared_load_transac...
Tesla P4的GPU算力为6.1,核心代号为GP104,同GTX1080一样。具有4个GPC,20个SM单元,每个GPC有5个SM,每个SM有128个CUDA核心,共计2560个CUDA核心,提供5.5TFLOPS的单精度计算性能,,256KB寄存器,96KB的Shared Memory,总共48KB的L1缓存和8个纹理单元。GPU的整体架构图如下图所示: ...
“shared_memory_region” : string value is the name of a previously registered shared memory region. Region names share a namespace for system-shared-memory regions and CUDA-shared-memory regions. “shared_memory_offset” : int64 value is the offset, in bytes,...
Shared Memory internal requirements: Shmem library must support creation of shared memory segments which can be used as fast IPC between multiple processes. The Shmem library must abstract the internal memory layout required to save the objects. ...
融合了一级缓存与共享缓存,每SM单元中缓存总容量为128KB,可以按需灵活分配给一级缓存与共享缓存(Shared Memory),可以是64KB+32KB的组合,也可以是32KB+64KB的组合。 此次NVIDID一共发布了3款GA10X核心的显卡型号。 RTX 3090:拥有7组GPC,82组SM单元共计10496个流处理器、112个ROPs、328个纹理单元、328个第三代...
Using Shared Memory in CUDA C/C++ In the previous post, I looked at how global memory accesses by a group of threads can be coalesced into a single transaction, and how alignment and stride... 10 MIN READ Jan 15, 2013 Using Shared Memory in CUDA Fortran ...
PTX8.3 中的NVIDIA GPU架构变化从Ampere 架构开始引入异步拷贝机制,直接拷贝global memory至shared memory,data path 从global memory -> register -> shared memory 变成了global memory -> shared memory。对于越来越多的场景使用tensor core,基本都需要shared memory去keep reuse和多warp间 share的输入data,异步拷贝...