Automatic Construction of Predictable and High-Performance Cache Coherence Protocols for Multicore Real-Time Systems

Predictable hardware cache coherence is a viable shared data communication mechanism between cores for multicore real-time platforms. Prior works have established that predictable hardware cache coherence protocols offer significant performance advantages over alternative predictable data communication mechanisms while ensuring predictability. Unlike alternative predictable data communication mechanisms, designing predictable cache coherence protocols is nontrivial as it requires detailed understanding of the impact of different memory activity patterns to shared data for predictable and coherent data communication. Furthermore, designing predictable cache coherence protocols that deliver high average-case performance is even more challenging as it entails identifying opportunities such that a core’s access to a data is not stalled in the presence of interleaving memory activity from other cores to the same data. To this end, we present SYNTHIA, an open and automated tool for synthesizing predictable and high-performance snooping bus-based cache coherence protocols for multicore platforms deployed in real-time systems. SYNTHIA automates the complex analysis associated with designing predictable and high-performance cache coherence protocols, and constructs the complete protocol implementation (coherence states and transitions) that achieve predictability and performance. We use SYNTHIA to construct complete protocol implementations from simple specifications of common protocols (modified-shared-invalid (MSI), MESI, and MOESI protocols) and a predictable variant of the MESIF cache coherence protocol, which was recently found to be deployed in an existing multicore platform designed for real-time platforms. We validated the correctness, predictability, and performance guarantees of the generated protocol implementations from SYNTHIA using manually implemented versions, and a micro-architectural simulator.