Using built-in capabilities for distributing computations across multi-GPU configurations, you can develop applications that scale from single-GPU workstations to cloud installations with thousands of GPUs. Learn More New Release, New Benefits CUDA 12 introduces support for the NVIDIA Hopper™ and...
Q: Does CUDA support double precision arithmetic? Yes. GPUs with compute capability 1.3 and higher support double precision floating point in hardware.Q: How do I get double precision floating point to work in my kernel? You need to add the switch "-arch sm_13" (or a higher compute ...
cudaStreamWaitEvent() will succeed even if the input stream and input event are associated to different devices. cudaStreamWaitEvent() can therefore be used to synchronize multiple devices with each other. Each device has its own default stream (seeDefault Stream), so commands issued to the def...
另外的,我们夏天搞夏令营活动的时候,客串出场的樊博士,也在他的实践中(GPUMD项目),指出了这点,例如在他的《Efficient molecular dynamics simulations with many-body potentials onGPU》中,老樊写道:“哪怕使用float的时候只有50%的occupancy;或者使用double的时候只能到25%的occupancy。性能也相当不错"。(arvix: ht...
int canMapHostMemory; /**< Device can map host memory with cudaHostAlloc/cudaHostGetDevicePointer 设备可以使用cudaHostAlloc/cudaHostGetDevicePointer映射主机内存*/ int computeMode; /**< Compute mode (See ::cudaComputeMode) 计算模式*/
Consider for example a system containing multiple GPUs with peer-to-peer access enabled, where the data located on one GPU is occasionally accessed by peer GPUs. In such scenarios, migrating data over to the other GPUs is not as important because the accesses are infrequent and the overhead ...
high-end GPU for both display and compute. I have also used workstations with multiple GPUs, ...
same error when I load model on multiple gpus I'm experiencing the same issue with two gpus. When I replace device_map="auto" to device_map={"":"cuda:0"} the model generates as expected. I'm using two A6000s. CUDA Version: 12.2 CUDA Driver: 535.54.03 transformer version: 4.28.1...
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.2, CUDA Runtime Version = 10.2, NumDevs = 1, Device0 = GeForce MX250 Result = PASS ...
On Using Multiple CPU Threads to Manage Multiple GPUs under CUDAHammad Mazhar