// ( cluster_size == 1 ) implies no distributed shared memory, just thread block local shared memory int cluster_size = 2; // size 2 is an example here int nbins_per_block = nbins / cluster_size; //dynamic shared memory size is per block. //Distributed shared memory size = cluster...
// ( cluster_size == 1 ) implies no distributed shared memory, just thread block local shared memory int cluster_size = 2; // size 2 is an example here int nbins_per_block = nbins / cluster_size; //dynamic shared memory size is per block. //Distributed shared memory size = cluster...
// memory operations are completedandnothread block exitswhile// other thread blocks are still accessing distributed shared memorycluster.sync(); //Performglobalmemory histogram,usingthelocaldistributed memory histogramint*lbins = bins +cluster.block_rank() * bins_per_block;for(inti = threadIdx.x;...
存储器架构 Shared Memory Distributed Memory Hybrid Distributed-Shared Memory混合分布式共享存储 并行编程模型 共享存储模型Shared Memory Model:所有处理单元去共享存储器取数据 线程模型Threads Model:开多个线程,线程切换,数据放置比较近 消息传递模型 Message Passing Model:MPI独立存储单元,消息模式传递 数据并行模型 Da...
We extend GPU Software Transactional Memory to allow threads across many GPUs to access a coherent distributed shared memory space and propose a scheme for GPU-to-GPU communication using CUDA-Aware MPI. The performance of CUDA-DTM is evaluated using a suite of seven irregular memory access bench...
Shared Memory (共享存储) Distributed Memory (分布式存储) Communications (通信) Synchronization (同步) Granularity (粒度) Observed Speedup (加速比),10个CPU比1个CPU强 Parallel Overhead (并行开销) Scalability (可扩展性) 存储器架构 Shared Memory ...
. . 6.2.3.8 Control L2 Cache Set-Aside Size for Persisting Memory Access . . . . . . . . . . 6.2.4 Shared Memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2.5 Distributed Shared Memory . . . ...
SP(Streaming Processor): 也称为CUDA Core, 是任务执行的基本单元,GPU的并行计算就是多个SM同时进行计算. SM SM(Streaming Multiprocessor): 由多个SP加上warp scheduler, register, shared memory等资源构成. 和CPU类似, register/shared memory是SM的稀缺资源, 供给驻留线程的使用, 因此也限制了GPU的并行能力. ...
Load Matrix from Shared Memory with Element Size Expansion STSM Store Matrix to Shared Memory ST Store to Generic Memory STG Store to Global Memory STL Store to Local Memory STS Store to Shared Memory STAS Asynchronous Store to Distributed Shared Memory With Explicit Synchronization SYNCS Sync Unit...
Using a hierarchy-based gather operation in these scenarios yields up to 2x speedup over a distributed gather operation. The faster gather step provides an end-to-end speedup of about 30-40% for a three-layer GraphSAGE model with batch size 1,024. ...