这意味着在GP100上,CPU和GPU可以访问统一内存分配,而无需进行任何程序员同步。在Kepler和Maxwell GPUs上,这是非法的,因为如果CPU在GPU内核处于活动状态时访问统一内存分配,将无法保证一致性。 注:与任何并行应用程序一样,开发人员需要确保正确的同步,以避免处理器之间的数据冲突。 最后,在支持操作系统平台方面,使用默...
所用显卡的CUDA Compute Capability。 https://developer.nvidia.com/cuda-gpus这是鄙人的NVIDIA显卡 2.NVIDIA驱动程序的安装.../eae078276932761fec5485b7.html 如未安装,直接访问NVIDIA官方网站下载并安装对应的驱动程序。 ubuntu16.04无法关机和装NVIDIA驱动问题 ...
Although other workloads have been leveraging the newer “Maxwell” architecture, HPC applications have been using “Kepler” GPUs for a couple years. The new GPUs bring many improvements, including higher performance, faster connectivity, and more flexibility for users & programmers. Because GPUs ...
sync - Instruct CUDA to block the CPU thread on a synchronization primitive when waiting for the results from the device. --cuda-devices <0 1 ..n> Select which CUDA GPUs to mine on. Default is to use all --cude-parallel-hash <1 2 ..8> Define how many hashes to calculate in a ...
The NVIDIA Tesla P100 NVLink GPUs are a big advancement. For the first time, the GPU is stepping outside the traditional “add in card” design. No longer tied to the fixed specifications of PCI-Express cards, NVIDIA’s engineers have designed a new form factor that best suits the...