cuda API的参数并不包括cuda context,而是依赖于current context的概念,所有的cuda API调用,都是针对current context而言的。 在cuda driver API中,我们可以通过cuCtxCreate/cuCtxDestroy函数来创建、销毁cuda context,cuCtxPushCurrent/cuCtxPopCurrent来操作cuda context stack,cuCtxSetCurrent则是直接把栈顶的cuda cont...
10x Faster Application Context Switching Like CPUs, GPUs support multitasking through the use of context switching, where each program receives a time slice of the processor’s resources. The Fermi pipeline is optimized to reduce the cost of an application context switch to below 25 microseconds,...
由于大部分协议都在host CPU上处理,所以传统意义上提高主频可以降低延迟; HyperVisor路径:HyperVisor和系统OS一般深度耦合,是IaaS计算平台的核心,计算量不大,主要工作是资源调度和计算切换(context switch)。一般云计算应用场景,资源(CPU、内存等)存在一定量的超售(也就是一个CPU卖了2-4个用户,用户通过分时间使用CPU)...
std::stringget_ptx_path(constchar*);intmain(){intA[N];for(inti =0; i < N; ++i) A[i] =i;//为禁止随意创建CUcontext,将构造函数声明为private,安全起见禁用了拷贝构造函数和拷贝赋值运算符redips::Cuder cuder =redips::Cuder::getInstance();//添加并编译一个.cu文件[相当于glsl shader 文件]...
我们都知道:所有CUDA的资源(包括分配的内存、CUDA event等等)和操作都只在CUDA context内有效;在第一次调用CUDA runtime API时,如果当前设备没有创建CUDA context,新的context会被创建出来作为当前设备的primary context。这些操作对于CUDA runtime API使用者来说是不透明的,那么又是谁做的呢?让我来引用一下SOF上...
对constexpr函数可以包含的更少的限制,包括变量声明,if,switch和循环。 CUDA 9中的NVCC也更快,与CUDA 8相比,编译时间平均减少了20%,达到了50%。 ·扩大开发平台和主机编译器,包括Microsoft Visual Studio 2017, Clang 3.9, PGI17.1和GCC6.x 以前写cuda:初始化环境,申请显存,初始化显存,launch kernel,拷贝...
SWITCH nodes: the conditional node can contain n graphs. The nth graph is executed once each time the node is evaluated if the condition value is n. If the condition value is greater or equal to n, no graph is executed when the node is evaluated. ...
Writing to an out-of-bounds memory location in a CUDA kernel launch causes the GPU to terminate the launch, and places the CUDA context in a permanent error state. This results in all CUDA API functions returning an error code, such as CUDA_ERROR_UNKNOWN. The coding errors that lead to ...
cudaErrorIncompatibleDriverContext = 49 This indicates that the current context is not compatible with this the CUDA Runtime. This can only occur if you are using CUDA Runtime/Driver interoperability and have created an existing Driver context using the driver API. The Driver context may be incom...
一般的来说, occupancy往往有个折中点, 过高了或者过低了性能都不好. (就如同你干得过少, 或者干得过累都不好一样). 好了, 我们有了occupancy的概念, 知道了无需一味的去追逐occupancy, 就已经是一个很大的胜利了. 我们下面将具体看一下, 如何测量, 调节occupancy, 并从理论的角度看下它们可能带来的性能...