Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models.

ABSTRACT: Computational modeling and simulation have become essential tools in the quest to better understand the brain's makeup and to decipher the causal interrelations of its components. The breadth of biochemical and biophysical processes and structures in the brain has led to the development of a large variety of model abstractions and specialized tools, often times requiring high performance computing resources for their timely execution. What has been missing so far was an in-depth analysis of the complexity of the computational kernels, hindering a systematic approach to identifying bottlenecks of algorithms and hardware. If whole brain models are to be achieved on emerging computer generations, models and simulation engines will have to be carefully co-designed for the intrinsic hardware tr

SUBMITTER: Cremonesi F 

PROVIDER: S-EPMC7338826 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature