Parallel optical interconnects may reduce the communication bottleneck in symmetric multiprocessors.

We start with a detailed analysis of the communication issues in today's symmetric multiprocessor (SMP) architectures to study the benefits of implementing optical interconnects (OI) in these machines. We show that the transmission of block addresses is the most critical communication bottleneck of future large SMPs owing to the need to preserve the coherence of data duplicated in caches. An address transmission bandwidth as high as 200-300 Gb/s may be necessary in ten years from now; this requirement will represent a difficult challenge for shared electric buses. In this context we suggest the introduction of simple point-to-point OIs for a SMP cache-coherent switch, i.e., for a VLSI switch that would emulate the shared-bus function. The operation might require as much as 10,000 input-outputs (IOs) to connect 100 processors, particularly if one maintains the present parallelism of transmissions to preserve a large bandwidth and a short memory access latency. The interest for OIs comes from the potential increase of the transmission frequency and from the possible integration of such a high density of IOs on top of electronic chips to overcome packaging issues. Then we consider the implementation of an optical bus that is a multipoint optical line involving more optical technology. This solution allows multiple simultaneous accesses to the bus, but the preservation of the coherence of caches can no longer be maintained with the usual fast snooping protocols.

Architectural approach to the role of optics in monoprocessor and multiprocessor machines.

The relevance of introducing optical interconnects (OI's) in monoprocessors and multiprocessors is studied from an architectural point of view. We show that perhaps the major explanation for why optical technologies have nearly been unable to penetrate into computers is that OI's generally do not shorten the memory-access time, which is the most critical issue for today's stored-program machines. In monoprocessors the memory-access time is dominated by the electronic latency of the memory itself. Thus implementing OI's inside the memory hierarchy without changing the memory architecture cannot dramatically improve the global performance. In strongly coupled multiprocessors the node-bypass latency dominates. Therefore the higher the connectivity (possibly with optics), the shorter the path to another node, but the more expensive the network and the more complex the structure of electronic nodes. This relation leaves the choice of the best network open in terms of simplicity and latency reduction. The bottlenecks resulting from and the benefits of implementing OI's are discussed with respect to symmetric multiprocessors, rings, and distributed shared-memory supercomputers.