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threa
The activity buffer API uses callbacks to request and return buffers of activity records. To use the asynchronous buffering API you must first register two callbacks using cuptiActivityRegisterCallbacks. One of these callbacks will be invoked whenever CUPTI needs an empty activity buffer. The other ...
The implementation of a unified address space enables Fermi to support true C++ programs. In C++, all variables and functions reside in objects which are passed via pointers. PTX 2.0 makes 12 it possible to use unified pointers to pass objects in any memory space, and Fermi's hardware ...
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 CUDA arrays over the link supported enum CUdevice_attrib...
It shows how to use Thrust/CUB/libcudacxx to implement a simple parallel reduction kernel. Each thread block computes the sum of a subset of the array usingcub::BlockReduce. The sum of each block is then reduced to a single value using an atomic add viacuda::atomic_reffrom libcudacxx. ...
There are mechanisms to avoid this situation. 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 va...
CUDA kernels are atomic functions that are called many times. Usually these are a few lines inside the program's For loop. The following adds two vectors together. First Kernel A CUDA kernel is a small piece of code that performs a computation on each element of an input list. Your first...
Atomic: 对应到GPU上特定的原子操作操作,比如fetch_and_add等 Barrier and Memory Fence:用于thread之间的同步,以及对内存序进行约束等 Address space conversion:用于对不同address space的pointer互相转化。不同的no-generic space之间不能进行转换。 Special Registers:用来读取GPU中的一些特殊寄存器,比如前面提到的tid...
CUDA kernels are atomic functions that are called many times. Usually these are a few lines inside the program's For loop. The following adds two vectors together. First Kernel A CUDA kernel is a small piece of code that performs a computation on each element of an input list. Your first...
It shows how to use Thrust/CUB/libcudacxx to implement a simple parallel reduction kernel. Each thread block computes the sum of a subset of the array usingcub::BlockReduce. The sum of each block is then reduced to a single value using an atomic add viacuda::atomic_reffrom libcudacxx. ...