CUDA 的检查点和恢复功能通过名为cuda-checkpoint的命令行实用程序公开,该实用程序可用于在正在运行的 Linux 进程中以透明方式检查点和恢复 CUDA 状态,同时也可以与开源检查点实用程序CRIU(用户空间中的检查点/恢复)相结合,以完全检查点 CUDA 应用程序。 检查点概述 透明的每进程检查点在虚拟机检查点和应用程序驱动检...
cuda-checkpoint增加了这项功能,可以与 CRIU 一起用于检查点和恢复 CUDA 应用程序。 CUDA 检查点 cuda-checkpoint检查点并恢复单个 Linux 进程的 CUDA 状态。它支持显示驱动程序版本 550 及更高版本,可以从/bin 目录下载。 localhost$ cuda-checkpoint --help CUDA checkpoint and restore utility. Toggles the state...
cuda-checkpoint 允许用户在 PID 指定的进程之间切换 CUDA 状态，提供从运行到挂起的灵活操作。当对 CUDA 进程进行挂起时，它会保存当前的 CUDA 状态，同时允许 CPU 线程继续执行，并与 CUDA 交互，确保数据的一致性和安全性。当需要恢复 CUDA 状态时，cuda-checkpoint 会调用 unblock 函数，使 CUDA 进...
the Checkpoint APIUsing these CUPTI APIs, independent software developers can create profiling tools that provide low and deterministic profiling overhead on the target system, while giving insight into the CPU and GPU behavior of CUDA applications. Normally packaged with the CUDA Toolkit, NVIDIA occas...
为此checkpoint就可以帮助我们来节省内存的占用了。 # 首先设置输入的input=>requires_grad=True # 如果不设置可能会导致得到的gradient为0 input = torch.rand(1, 10, requires_grad=True) layers = [nn.Linear(10, 10) for _ in range(1000)] # 定义要计算的层函数,可以看到我们定义了两个 # 一个计算...
checkpoint文件:文本文件,记录了最新保持的5个模型文件列表 tf中模型保存使用 tf.train.Saver类来保存模型。使用方式: 1. 在Session外生成一个模型保存对象 saver = tf.train.Saver() 1. 2. 在Session中以当前环境Session为参数,保存模型到本地磁盘
Checkpoint/restart has been an effective mechanism to achieve fault tolerance for many scientific applications. Various implementations have been explored at different levels. However, as GPU's gain an expanding role in high performance computing, there is a need for a more effective checkpoint/...
block线程同步。同步同一个block内的线程,用__synthreads()接口。同一个block内的线程用register和shared memory 进行通信。 cuda不同block之间的线程无法同步。如果需要,只能使用系统级同步方式,,使用cudaDeviceSynchronize()进行等待,在不同block的线程达到checkpoint后结束当前的kernel,开启新的kernel。
Application entered an uncorrectable error during the checkpoint/restore process enum CUresourceViewFormat Resource view format Values CU_RES_VIEW_FORMAT_NONE = 0x00 No resource view format (use underlying resource format) CU_RES_VIEW_FORMAT_UINT_1X8 = 0x01 1 channel unsigned 8-bit intege...
CRUM supports a fast, forked checkpointing, which mostly overlaps the CUDA computation with storage of the checkpoint image in stable storage. The runtime overhead of using CRUM is 6% on average, and the time for forked checkpointing is seen to be a factor of up to 40 times less than ...