Extending the hardware architecture of systemic computation to a complete programming platform

Systemic Computation is an unconventional paradigm which defines a model of natural behavior and implies a massively parallel computer architecture. It is designed to be a computational paradigm for natural systems and processes modeling. Existing software implementations have been too limited in terms of performance, flexibility and programmability. This paper solves key problems that remained in earlier work, introduced towards the first practical hardware Systemic Computation implementation using FPGAs. This is achieved by making various optimizations and software additions, resulting in a complete and efficient SC programming platform.