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

机译:光学在单处理器和多处理器机器中的作用的体系结构方法

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摘要

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.
机译:从体系结构的角度研究了在单处理器和多处理器中引入光互连(OI)的相关性。我们表明,也许光学技术几乎无法渗透到计算机的主要原因是OI通常不会缩短内存访问时间,这是当今存储程序机器最关键的问题。在单处理器中,存储器访问时间主要由存储器本身的电子等待时间决定。因此,在不更改内存体系结构的情况下在内存层次结构内部实现OI不会显着提高全局性能。在强耦合的多处理器中,节点旁路等待时间占主导。因此,连通性越高(可能与光学器件连通),通向另一个节点的路径越短,但是网络越昂贵,电子节点的结构越复杂。从简单性和减少等待时间的角度来看,这种关系使最佳网络处于开放状态。关于对称多处理器,环网和分布式共享内存超级计算机,讨论了由实现OI引起的瓶颈和带来的好处。

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