  With the upcoming generation of telescopes, cluster scale strong
gravitational lenses will act as an increasingly relevant probe of cosmology
and dark matter. The better resolved data produced by current and future
facilities requires faster and more efficient lens modeling software.
  Consequently, we present Lenstool-HPC, a strong gravitational lens modeling
and map generation tool based on High Performance Computing (HPC) techniques
and the renowned Lenstool software. We also showcase the HPC concepts needed
for astronomers to increase computation speed through massively parallel
execution on supercomputers.
  Lenstool-HPC was developed using lens modelling algorithms with high amounts
of parallelism. Each algorithm was implemented as a highly optimised CPU, GPU
and Hybrid CPU-GPU version. The software was deployed and tested on the Piz
Daint cluster of the Swiss National Supercomputing Centre (CSCS).
  Lenstool-HPC perfectly parallel lens map generation and derivative
computation achieves a factor 30 speed-up using only 1 GPUs compared to
Lenstool. Lenstool-HPC hybrid Lens-model fit generation tested at Hubble Space
Telescope precision is scalable up to 200 CPU-GPU nodes and is faster than
Lenstool using only 4 CPU-GPU nodes.
