System Level Accelerator with Blue Gene: A Heterogeneous Computing Model for Grand Challenge Problems
D. Spector Tim · Advances in parallel computing · 2009
An algorithm is presented which can be used to “link” two differing computer architectures together in what has become known as System Level Acceleration (SLA). This allows for a substantial increase in the complexity of the problem to be solved and also in the range of scales that often inhibits the scientist/engineer. Two examples of problems able to be solved via SLA, that of coupled cells in an vascular domain and modeling blood auto-regulation in the cerebro-vasculature.