Co-Design Projects

Select a project from the list below to get more information about the Co-design Projects supported by PASC.

ANSWERS
ANSWERS: Accelerating nano-device simulations with extreme-scale algorithms and software co-integration; PI: Mathieu Luisier (ETH Zurich)
Angiogenesis
Angiogenesis in Health and Disease: In-vivo and in-silico; PI: Petros Koumoutsakos (ETH Zurich)
AV-FLOW
AV-FLOW; PI: Dominik Obrist (University of Bern)
Coupled Cardiac Simulations
Integrative HPC Framework for Coupled Cardiac Simulations IFCCS; PI: Rolf Krause (University of Lugano), Alfio Quarteroni (EPFL)
DIAPHANE
A common platform for application-independent Radiative Transport in astrophysical simulations; PI: Lucio Mayer (University of Zurich)
Direct GPU to GPU communication
A highly efficient implementation of direct GPU to GPU communication in a library for direct exchange calculations; PI: Stefan Goedecker (University of Basel)
Electronic Structure Calculations
Reduced scaling electronic structure calculations based on a versatile library for sparse matrix multiplication; PI: Jürg Hutter (University of Zurich)
ENVIRON
A Library for Complex Electrostatic Environments in Electronic-structure Simulations; Stefan Goedecker (University of Basel)
Genomic Data Processing
Portable Scalable Concurrency for Genomic Data Processing; PI: Ioannis Xenarios (University of Lausanne)
GeoPC
Infrastructure development for hybrid parallel smoothers for multigrid preconditioners; PI: Paul Tackley (ETH Zurich)
GeoScale
A framework for multi-scale seismic modelling and inversion; PI: Andreas Fichtner (ETH Zurich)
Grid Tools
Towards a library for hardware oblivious implementation of stencil based codes; PI: Oliver Fuhrer (Meteosuisse)
Heterogeneous Compiler Platform
Heterogeneous Compiler Platform for Advanced Scientific Codes; PI: Torsten Hoefler (ETH Zurich)
HPC-ABGEM
High-performance computing tools for agent-based general ecosystems models (HPC-ABGEM); PI: Christoph Zollikofer (University of Zurich)
Multiscale applications
Optimal deployment of multiscale applications on a HPC infrastructure; PI: Bastien Chopard (UNIGE)
Multiscale economical data
Towards the HPC-inference of causality networks from multiscale economical data (Università della Svizzera italiana)
Particles and fields
Particles and fields; PI: Laurent Villard (EPFL)
Scalable advanced sampling in molecular dynamics
Scalable advanced sampling in molecular dynamics using standalone tools for data mining (CHARMMing PIGS); PI: Dr. Amedeo Caflisch (University of Zurich)
Snowball sampling
Snowball sampling and conditional estimation for exponential random graph models for large networks in high performance computing (Università della Svizzera italiana)