An important challenge concerning the design of future microprocessors is t
hat current design methodologies are becoming impractical due to long simul
ation runs and due to the fact that chip layout considerations are not inco
rporated in early design stages. In this paper, we show that statistical mo
deling can be used to speed up the architectural simulations and is thus vi
able for early design stage explorations of new microarchitectures. In addi
tion, we argue that processor layouts should be considered in early design
stages in order to tackle the growing importance of interconnects in future
technologies. In order to show the applicability of our methodology which
combines statistical modeling and processor layout considerations in an ear
ly design stage, we have applied our method on a novel architectural paradi
gm, namely a fixed-length block structured architecture. A fixed-length blo
ck structured architecture is an answer to the scalability problem of curre
nt architectures. Two important factors prevent contemporary out-of-order a
rchitectures from being scalable to higher levels of parallelism in future
deep-submicron technologies: the increased complexity and the growing domin
ation of interconnect delays. In this paper, we show by using statistical m
odeling and processor layout considerations, that a fixed-length block stru
ctured architecture is a viable architectural paradigm for future microproc
essors in future technologies thanks to the introduction of decentralizatio
n and a reduced register file pressure. (C) 2000 Elsevier Science B.V. All
rights reserved.