A run-time adaptive multiprocessor system

Because of the continuous increase in the number and complexity of embedded applications, new platforms have been launched within shorter periods of time to fulfill their performance requirements with the lowest energy consumption possible. However, for each new platform deployment, new tool chains, with additional libraries, debuggers and compilers must come along, breaking binary compatibility. This strategy implies in high hardware and software redesign costs. In this scenario, we propose the exploitation of custom reconfigurable arrays for multiprocessor systems. The proposed approach is composed of multiple adaptive reconfigurable processors that simultaneously exploit Instruction and Thread Level Parallelism. It works in a transparent fashion, so binary compatibility is maintained, with no need to change the software development process or environment. Results show that our proposal delivers higher performance per watt in comparison to a 4-issue Superscalar processor, when the same power budget is considered.