Towards zero latency photonic switching in shared memory networks

Photonic networks-on-chip based on silicon photonics have been proposed to reduce latency and power consumption in future chip multi-core processors (CMP). However, high performance CMPs use a shared memory model which generates large numbers of short messages, creating high arbitration latency overhead for photonic switching networks. In this paper we explore techniques which intelligently use information from the memory hierarchy to predict communication in order to setup photonic circuits with reduced or eliminated arbitration latency. Firstly, we present a switch scheduling algorithm which arbitrates on a per memory transaction basis and holds open photonic circuits to exploit temporal locality. We show that this can reduce the average arbitration latency overhead by 60% and eliminate arbitration latency altogether for a significant proportion of memory transactions. We then show how this technique can be applied to multiple-socket shared memory systems with low latency and energy consumption penalties. Finally, we present ideas and initial results to demonstrate that cache miss prediction could be used to set up photonic circuits for more complex memory transactions and main memory accesses.