A. Louri et Hk. Sung, SCALABLE OPTICAL HYPERCUBE-BASED INTERCONNECTION NETWORK FOR MASSIVELY-PARALLEL COMPUTING, Applied optics, 33(32), 1994, pp. 7588-7598
Two important parameters of a network for massively parallel computers
are scalability and modularity. Scalability has two aspects: size and
time (or generation). Size scalability refers to the property that th
e size of the network can be increased with nominal effect on the exis
ting configuration. Also, the increase in size is expected to result i
n a linear increase in performance. Time scalability implies that the
communication capabilities of a network should be large enough to supp
ort the evolution of processing elements through generations. A modula
r network enables the construction of a large network out of many smal
ler ones. The lack of these two important parameters has limited the u
se of certain types of interconnection networks in the area of massive
ly parallel computers. We present a new modular optical interconnectio
n network, called an optical multimesh hypercube (OMMH), which is both
size and time scalable. The OMMH combines positive features of both t
he hypercube (small diameter, high connectivity, symmetry, simple rout
ing, and fault tolerance) and the torus (constant node degree and size
scalability) networks. Also presented is a three-dimensional optical
implementation of the OMMH network. A basic building block of the OMMH
network is a hypercube module that is constructed with free-space opt
ics to provide compact and high-density localized hypercube connection
s. The OMMH network is then constructed by the connection of such basi
c building blocks with multiwavelength optical fibers to realize torus
connections. The proposed implementation methodology is intended to e
xploit the advantages of both space-invariant free-space and multiwave
length fiber-based optical interconnect technologies. The analysis of
the proposed implementation shows that such a network is optically fea
sible in terms of the physical size and the optical power budget.