Sim4Life offers high performance computing to enable the investigation of complex and realistic models. Multi-threaded execution for modeling, meshing, voxeling, and postprocessing enables parallel processing of heavy tasks without disturbing the workflow. A fully integrated centralized task manager efficiently manages all computationally intensive tasks on the local machine or in the cloud. Two sets of CUDA-based libraries for graphics processing unit (GPU) acceleration are provided: Acceleware and ZMT CUDA.
Sim4Life features the fastest GPU-enabled EM-FDTD, US and THERMAL solvers (P-EM-FDTD , P-ACOUSTICS & P-THERMAL). The MPI parallelization-based FEM solver optimally uses multi-core processors, clusters, and supercomputers to guarantee extreme performance for demanding tasks. A unified interface supports cloud computing of any of the major providers (e.g., Amazon or Google).
Hardware NVIDIA series 20 and older are no longer supported.
Important: In the next release of Sim4Life, the NVIDIA toolkit will be upgraded to support the most recent GPUs. As a side effect, some older GPU architectures will not be supported anymore. In particular, all cards with compute capability lower than 5.0 will be dropped, which includes the Kepler generation GPUs. Please check this link for details about the cards' compute capability and CUDA toolkits.
Important: For the CUDA-based solvers (CUDA P-EM-FDTD, P-THERMAL, P-ACOUSTICS), Sim4Life supports NVIDIA GPU models equipped with CUDA compute capability 3.5 up to 8.6, and requires device drivers that support the CUDA toolkit 11.0 and above. Note that NVIDIA may choose to discontinue certain drivers for specific operating systems, e.g., CUDA 11.0 drivers may not be available for Windows 8.1 for certain GPU series. In such a case, an update to Windows 10 or 11 may permit further usage of the GPU with Sim4Life.
Benchmark: Mobile phone simulation
Benchmark: Birdcage with ViP human model simulation
Benchmark: ViP human model with a mobile phone (w/ patch array antenna) next to his head.
Benchmark: SAM Head and Hand phantoms with a mobile phone.