Timothy is a novel large scale modelling framework that allows simulating of biological processes involving different cellular colonies growing and interacting with variable environment. Timothy was designed for execution on massively parallel High Performance Computing (HPC) systems. The high parallel scalability of the implementation allows for simulations of up to 109 individual cells (i.e., simulations at tissue spatial scales of up to 1 cm3 in size). With the recent advancements of the Timothy model, it has become critical to ensure appropriate performance level on emerging HPC architectures. For instance, the introduction of blood vessels supplying nutrients to the tissue is a very important step towards realistic simulations of compl...
Molecular dynamics (MD) is a powerful computer simulation technique providing atomistic resolution a...
Large scale cell based blood flow simulations are expensive, both in time and resource requirements....
As computational models of multicellular populations include ever more detailed descriptions of biop...
Current research in the field of computational biology often involves simulations on high-performanc...
International audienceIn the context of tissue morphogenesis study, in silico simulations can be see...
Biological processes are inherently very complex and involve many unknown relation-ships and mechani...
Background: Discoveries in cellular dynamics and tissue development constantly reshape our understan...
AbstractThe use of parallelism may overcome some of the constraints imposed by single processor comp...
Agent-Based Modeling has been recently recognized as a method for in-silico multi-scale modeling of ...
Abstract. Agent-based simulation of large multicellular biological sys-tems has become a viable opti...
Abstract: The Cellular Potts Model (CPM) is a very important algorithm in systems biology to simulat...
Computational modelling of populations of cells has been applied to further understanding in a range...
Agent-based modelling has proven its usefulness in several biomedical projects by explaining and unc...
The temporal and spatial resolution in the microscopy of tissues has increased significa...
International audienceThis paper presents two approaches in parallel modeling of vascular system dev...
Molecular dynamics (MD) is a powerful computer simulation technique providing atomistic resolution a...
Large scale cell based blood flow simulations are expensive, both in time and resource requirements....
As computational models of multicellular populations include ever more detailed descriptions of biop...
Current research in the field of computational biology often involves simulations on high-performanc...
International audienceIn the context of tissue morphogenesis study, in silico simulations can be see...
Biological processes are inherently very complex and involve many unknown relation-ships and mechani...
Background: Discoveries in cellular dynamics and tissue development constantly reshape our understan...
AbstractThe use of parallelism may overcome some of the constraints imposed by single processor comp...
Agent-Based Modeling has been recently recognized as a method for in-silico multi-scale modeling of ...
Abstract. Agent-based simulation of large multicellular biological sys-tems has become a viable opti...
Abstract: The Cellular Potts Model (CPM) is a very important algorithm in systems biology to simulat...
Computational modelling of populations of cells has been applied to further understanding in a range...
Agent-based modelling has proven its usefulness in several biomedical projects by explaining and unc...
The temporal and spatial resolution in the microscopy of tissues has increased significa...
International audienceThis paper presents two approaches in parallel modeling of vascular system dev...
Molecular dynamics (MD) is a powerful computer simulation technique providing atomistic resolution a...
Large scale cell based blood flow simulations are expensive, both in time and resource requirements....
As computational models of multicellular populations include ever more detailed descriptions of biop...