Research Line

High Performance Computing

We scale computational drug discovery and molecular simulation to supercomputers, GPU clusters and containers. The same campaign that would take months on a desktop runs in days on the BSC, NLHPC or PSNC infrastructures we have access to — or on a partner’s own HPC under contract.

What we work on

Where our HPC engineering effort actually goes — production-grade pipelines, not toy benchmarks.

  • Parallel virtual screening of libraries up to 10⁷ compounds with adaptive job scheduling on CPU and GPU partitions.
  • GPU acceleration of docking and molecular-dynamics codes (Vina, GROMACS, Desmond, AMBER).
  • Containerised deployment (Singularity, Docker) for reproducible runs across heterogeneous clusters.
  • Workflow orchestration with internal schedulers that survive node failures and re-queue partial results.
  • Benchmarking and cost optimisation for partner HPC and cloud projects.

Tools we use

  • MetaScreener — orchestration of virtual screening campaigns on HPC.
  • TOLEDO — batch execution of Maestro-Desmond molecular dynamics.
  • ASGARD — automated MD analysis and reporting for GROMACS.
  • Singularity containers — reproducible deployments on shared clusters.
See all tools →

Applications & target areas

Where HPC capacity becomes a competitive advantage for our partners.

Pharma & biotechLarge-scale virtual screening, MD-based affinity refinement and ADMET filtering on production timelines.
HPC-as-a-servicePrivate deployments of our suites on customer clusters, with on-premise data isolation.
Computational benchmarkingPerformance studies for new architectures, accelerators and scheduling strategies.
Multidisciplinary HPCClimate, image analysis, time-series and clustering pipelines for partners outside life sciences.

Selected resources

Interested in this line?

Contact Prof. Horacio Pérez-Sánchez · hperez@ucam.edu

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