# Example 4.5: An atomic add with mutex. @cuda.jit(device=True) def lock(mutex): while cuda.atomic.compare_and_swap(mutex, 0, 1) != 0: pass cuda.threadfence() @cuda.jit(device=True) def unlock(mutex): cuda.threadfence() cuda.atomic.exch(mutex, 0, 0) @cuda.jit def add_one_mu...
Atomic Operation Computing Histograms Streams Page-Locked Host Memory CUDA Streams Using Multiple CUDA Streams Multiple GPUs Zero-Copy Host Memory Using Multiple GPUS Portable Pinned Memory Reference: CUDA by Examplebook.douban.com/subject/4754651/ Introduction Hello World GPU编程涉及到多个设备(CPU,...
For example, multiple partitions can be formed out of a warp-level group (that is not constrained to powers of 2) usinglabeled_partitionand used in an atomic add operation. Thelabeled_partitionAPI operation evaluates a condition label and assigns threads that have the same value for the label ...
atomic instruction is one that performs the read-modify-write in a single, uninterruptable step. If 32 threads perform an atomic increment concurrently, the variable is guaranteed to be incremented 32 times. See Listing 6.7 for an example of using theatomicAddinstruction to increment a global ...
这些操作在一次原子事务(atomic transaction)中完成, 不会被别的线程中的原子操作所干扰。原子函数不能保证各个线程的执行具有特定的次序, 但是能够保证每个线程的操作一气呵成,不被其他线程干扰,所以能够保证得到正确的结果。 解决空闲线程 reduce计算图 基于上图和cuda 核函数 ,我们可以看到太多的thread被浪费了。
This example implements a uniform grid data structure using either atomic operations or a fast radix sort from the Thrust library This sample depends on other applications or libraries to be present on the system to either build or run. If these dependencies are not available on the system, ...
For example, locks and atomic operations help ensure correct behavior by protecting updates to shared values. However, we are all fallible. In complex code with thousands of threads, it may be ambiguous whether there is even an issue. The shared value may well still increase, just not in ...
CU_DEVICE_P2P_ATTRIBUTE_NATIVE_ATOMIC_SUPPORTED = 0x03 Atomic operation over the link supported CU_DEVICE_P2P_ATTRIBUTE_ACCESS_ACCESS_SUPPORTED = 0x04 Deprecated use CU_DEVICE_P2P_ATTRIBUTE_CUDA_ARRAY_ACCESS_SUPPORTED instead CU_DEVICE_P2P_ATTRIBUTE_CUDA_ARRAY_ACCESS_SUPPORTED = 0x04 Accessing ...
unsigned int value = atomicInc(&count, gridDim.x); // Thread 0 determines if its block is the last // block to be done. isLastBlockDone = (value == (gridDim.x - 1)); } // Synchronize to make sure that each thread reads ...
有了琦琦的棍子：深入浅出GPU优化系列：reduce优化633 赞同 · 160 评论文章 大佬的github地址也放在这里...