Optical Network on Chips (NoCs) 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, typically of the order of 8-256B. Messages of this length create high overhead for optical switching systems due to arbitration and switching times. Current schemes only start the arbitration process when the message arrives at the input buffer of the network. In this paper, we propose a scheme which intelligently uses the information from the memory controllers to schedule optical paths. We identified predictable patterns of messages associated with memory operations for a 32 core x86 system using the MESI coherency protocol. We used the first message of each pattern to open the optical paths which will be used by all subsequent messages thereby eliminating arbitration time for the latter. Without considering the initial request message, this scheme can therefore reduce the time of flight of a data message in the network by 29% and that of a control message by 67%. We demonstrate the benefits of this scheduling algorithm for applications in the PARSEC benchmark suite with overall average reductions in overhead latency per message, of 31.8% for the streamcluster benchmark and 70.6% for the swaptions benchmark.

By extending the cycle accurate gem5 computer system simulator with optical network models, we demonstrate chip multiprocessor performance improvements of up to 18% using a wavelength striped optical crossbar interconnect and determine optimum optical parameters.

Optical networks on chip based on silicon photonics have been proposed to reduce latency and power consumption in future chip multiprocessors. However, high performance chip multiprocessors 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 that 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 up to 70% of memory transactions. We then demonstrate that this switch scheduling algorithm operating with a central photonic crossbar or Clos switch has significant energy efficiency benefits over arbitrationfree photonic networks such as single writer multiple reader networks. Finally, we demonstrate that cache miss prediction can be used to predict 86% of more complex memory transactions involving multiple nodes or main memory.

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