The HiBi (High performance computational systems Biology) workshop establishes a forum to link researchers in the areas of parallel computing and computational systems biology.
One of the main limitations in managing models of biological systems comes from the fundamental difference between the high parallelism evident in biochemical reactions and the sequential environments employed for the analysis of these reactions. Such limitations affect all varieties of continuous, deterministic, discrete and stochastic models, undermining the applicability of simulation techniques and analysis of biological models.
The goal of HiBi is therefore to bring together researchers in the fields of high performance computing and computational systems biology. Experts from around the world will present their current work and discuss profound challenges, new ideas, results, applications and their experience relating to key aspects of high performance computing in biology.

Topics of interest include, but are not limited to:

 - Parallel Stochastic simulation

 - Biological and Numerical parallel computing

 - Parallel and distributed architectures

 - Emerging processing architectures (e.g., Cell processors, GPUs, mixed CPU-FPGA)

 - Parallel Model Checking techniques

 - Parallel parameters estimation

 - Parallel algorithms for biological analysis

 - Parallel visualization algorithms

 - Tools and applications

HiBi also works to spread relevant results. A selection of best research papers will be considered for pubblication in the IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).