Since the display also needs resources (memory and compute power), it lowers the resources for the application. In addition WDDM creates some overhead because it has to manage the resources for both. Please note that the TCC mode is currently required for A-solver GPU computing. 10.2.1 ...
GPU computing* ( optional ) Supported GPU card High-end NVIDIA Quadro®, RTX™ or Tesla® card Please refer to the GPU computing guide MPI computing* ( optional ) Dedicated compute cluster hardware Fast network interconnects with low latency is strongly recommended. ...
我们让CST技术支持做过测试,现在我正在仿真的模型用HP个人工作站xw8400耗时19个小时,CST那边用GPU加速用时不到两个小时! 使用GPU加速有硬件配置的要求,上面的两种加速卡要求最少12 GB内存,工作站需要800 W - 1000 W功耗。更高级的加速设备要求更高,GPU Computing Guide有列出来需要的硬件配置要求 正版咨询: 400-...
我们让CST技术支持做过测试,现在我正在仿真的模型用HP个人工作站xw8400耗时19个小时,CST那边用GPU加速用时不到两个小时! 使用GPU加速有硬件配置的要求,上面的两种加速卡要求最少12 GB内存,工作站需要800 W - 1000 W功耗。更高级的加速设备要求更高,GPU Computing Guide有列出来需要的硬件配置要求 正版咨询: 400-...
GPU Computing Minimum requirement: A supported GPU card. Please see theGPU Computing Guide. The high memory bandwidth and parallel processing abilities of GPU cards provide a significant simulation speed-up compared to CPU computing alone. Options are available for server-class and workstat...
A performance improvement can be expected when using the GPU Boost feature on the CST solvers. The Tesla GPUs come with a "Base clock" and several "Boost Clocks" which may be manually selected for compute intensive workloads with available power headroom. The Tesla GPUs give full control to ...