Framework: HPC HIGH PERFORMANCE COMPUTING

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 (GPU) acceleration are provided: Acceleware and ZMT CUDA.

Sim4Life features the fastest GPU-enabled EM-FDTD and US solvers ( P-EM-FDTD & P-ACOUSTICS). 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).

Key Features - Key Features - CUDA Key Features - MPI

Acceleware

Advanced libraries for EM- Libraries for EM-FDTD and Libraries for Flow FDTD Acoustics Libraries for EM-QS Support for thin sheets, Multi-GPU support dispersive media and lossy

metals Option to add support for Subgrid (local refinement) Multi-GPU support

Supported GPUs

NVIDIA GeForce 16 and 20 series series (Turing architecture) GeForce GTX 1650, GTX 1660, GTX 1660 Ti GeForce RTX 2060, RTX 2070, RTX 2080, RTX 2080 Ti Titan RTX

NVIDIA Volta series NVIDIA TITAN V V100

NVIDIA GeForce 10 series (Pascal architecture):

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NVIDIA GeForce 900 series (Maxwell architecture): First generation Maxwell: GeForce GTX 750Ti, GeForce GTX 750 Second generation Maxwell: GeForce GTX TITAN X, GeForce GTX 980, GeForce GTX 980Ti, GeForce GTX 970, GeForce GTX 960, GeForce GTX 960, GeForce GTX 950

NVIDIA K-series (Kepler architecture): NVIDIA Kepler K10, K20/K20X, K40 and K80. NVIDIA K6000

Hardware NVIDIA series 20 and older are no longer supported. Supported OS

Windows 8/8.1/10 Windows Server 2008/ 2012 Linux RedHat 7 and CentOS

Performance

Benchmark: Mobile phone simulation

Benchmark: Birdcage with ViP human model simulation

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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.

Additional Benchmarks: Small Computational Domain

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