Embedded-TM: Energy and complexity-effective hardware transactional memory for embedded multicore systems

We investigate how transactional memory can be adapted for embedded systems. We consider energy consumption and complexity to be driving concerns in the design of these systems and therefore adapt simple hardware transactional memory (HTM) schemes in our architectural design. We propose several different cache structures and contention management schemes to support HTM and evaluate them in terms of energy, performance, and complexity. We find that ignoring energy considerations can lead to poor design choices, particularly for resource constrained embedded platforms. We conclude that with the right balance of energy-efficiency and simplicity, HTM will become an attractive choice for future embedded system designs.