Abstract
This paper outlines the vision for a new type of software-shaped platforms, or SOSH platforms for short, that can be implemented in commercial CPU+FPGA platforms. At the core of the SOSH par- adigm is the idea of exposing direct control over the flow of data exchanged between hardware components in embedded System- on-Chips (SoC). Data flow manipulation primitives are synthesized in reprogrammable hardware and interposed between central pro- cessors, memory modules, and I/O devices. A new layer of system software is then introduced to leverage such primitives and to achieve fine-grained control and introspection over the interac- tion of SoC resources. By turning memory and I/O data flows into manageable entities, a new degree of internal awareness can be achieved in complex systems. We first review recent works that are well aligned with the concept of data flow manipulation primitives that can be deployed in SOSH platforms. Next, we outline future research avenues concerning the use of the SOSH paradigm for workload profiling and prediction, to implement advanced memory models, and to perform security threat identification and mitigation.
